Staff profile

Dr. Qing Wang is an Associate Professor within the Department of Engineering at Durham University. Her PhD programme was sponsored by BAE Systems and her doctoral research was carried out to identify and develop Artificial Neural Network techniques for use within the cost model development process. Her ANN techniques have since been successfully applied to the development of consultancy work to establish thermoforming cost models within the Composite Wing Programme at BAE Systems.

Dr Wang has over fifteen years’ experience in research, industrial and project management and has secured funding from the Nuffield Foundation, Knowledge Transfer Partnerships, BP, IMechE, Royal Academy of Engineering, Royal Society, EPSRC and EU for her research. Her research interests focus on product life cycle engineering including cost engineering, virtual manufacturing/remanufacturing systems involved in operations research, large scale metrology and enterprise supply networks design. Since 2010, she has extended her research into product service systems in relation to developing wind turbine condition monitoring techniques. Dr Wang has published two co-authored books and more than 80 papers in refereed journals and international conferences.

Dr Wang is the Associate Editor of IEEE Transactions of Instrumentation and Measurement. She is on the Editorial Board for the IEEE Transactions of Instrumentation amd Measurement, International Journal of Optimisation and Control: Theory and Applications and International Journal of Research in Computer Science. She is also a peer-reviewer for a number of international journals including IJPR, IJAMT, IJPE, IJCIM and IMechE Part B. She has served as an international scientific committee member for several international conferences including ICMR and ICMEEM. She was a Session Chair for the ASME 16^th and 17^th Design for Manufacturing and the Life Cycle Conferences (DFMLC) in 2011 and 2012, the Program Chair for the ASME DFMLC Conference in 2016 and is the Conference Chair for the ASME DFMLC Conference in 2017. She is a Chartered Engineer (CEng), a senior member of IEEE(SMIEEE), a member of IMechE(MIMechE), a member of ASME(MASME), a member of EC (UK Engineering Council), a Mid-Career Fellow of Durham Energy Institute and a Fellow of the Higher Education Academy.

Student recruitment

Dr. Wang is keen to work with talented students with an education background in maths, electronics, electrical engineering and mechanical engineering on MSc/PhD projects. These projects are likely related to structural health monitoring using nondestructive testing and evaluation; energy storage and transfer ( battery) developing wind turbine condition monitoring techniques; establishing remanufacturing systems for new materials; laser metrology for large scale component measurement; and supply chain optimisation and integration. If you are interested in any of these projects and would like to apply for a position at Durham, please email Dr. Wang with a full resume for further discussion. 

• Product life cycle engineering
• Sustainable design and manufacturing
• Supply chain management optimisation and integration
• Structural health monitoring (No-destructive testing)
• Electronic instrumentation and mesurement ( advanced measurment method)
• Wind turbine condition monitoring

Authored book

• Huang, S. L., Wang, S., Li, W. B. & Wang, Q. (2016). Electromagnetic Ultrasonic Guided Waves. Springer.

Chapter in book

• Wang, Q. (2005). Virtual Manufacturing & Systems. In E-Manufacturing: Fundamentals and Applications. Southampton: WIT Press. 231-263.

Conference Paper

• Ceron-Oliver, L. F., Wang, Q. & Zeze, D. (2022), Air-Gapped Current Transformer simulation and accuracy assessment, 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON). Palermo, ITALY, IEEE.
• Zhang, Y. H., Wang, Q. & Huang, S. L. (2022), Structure health monitoring of concrete structures using magnetic flux leakage, The 7th International Conference on Civil Structural and Transportation Engineering (ICCSTE'22). Niagara Falls, Canada, AVESTIA.
• Sun, S. X & Wang, Q. (2022), A comparison of air pollution in developed and developing cities: A case study of London and Beijing, ICAQMM2022:XVI. International Conference on Air Quality Management and Monitoring. Rome, Italy, WASET.
• Coutts, H. & Wang, Q. (2021), Using machine learning for the classification of the remaining useful cycles in Lithium-ion batteries, ASME 2021 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference. Online, ASME.
• Alvarez-Lares, J. & Wang, Q. (2020), Image reconstruction using RAPID Algorithm with Time-Frequency analysis, The 15th IEEE Conference on Industrial Electronics and Applications. Kristiansand, Norway, IEEE.
• Wilson, A. & Wang, Q. (2020), Design and development of hardware to analyse and categorize the condition of batteries with the aim of enabling their re-use, Volume 6: 25th Design for Manufacturing and the Life Cycle Conference (DFMLC): The ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2020). St. Louis, MO, USA, ASME, DETC2020-22321, V006T06A006; 11 pages.
• Kumrai-Woodruff, R. & Wang, Q. (2020), Temperature control to increase inter-layer bonding strength in fused deposition modelling, International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Volume 6: 25th Design for Manufacturing and the Life Cycle Conference (DFMLC): The ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2020). St. Louis, MO, USA, ASME, DETC2020-22342, V006T06A002; 11 pages.
• Lazcano, I. & Wang, Q. (2020), Quantitate evaluation of a oil pipeline crack using electromagnetic acoustic transducer (EMAT) and numerical simulation, CEFC 2020. Pisa, Italy, IEEE.
• Bernal-Morales, J. D. & Wang, Q. (2020), Simulated irregular-Shaped defect detection and quantification through magnetic flux leakage signals, CEFC 2020. Pisa, Italy, IEEE.
• Aitchison, A. & Wang, Q. (2019), Localised pre-heating to improve inter-layer delamination strength in fused deposition modelling, Proceedings of the ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE 2019) The ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE 2019). Anaheim, California, USA, ASME.
• Wang, Z., Huang, S. L., Sun, H. Y., Wang, S., Wang, Q. & Zhao W. (2019), Multimodal lamb wave identification using combination of instantaneous frequency with EMD, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2019). Auckland, New Zealand, IEEE.
• Liu, M. H., Zhao, W., Wang, Q., Huang, S. L. & Shi K. P. (2019), Synchronization issues with irregular current injection islanding detection methods in multi-DG operation, 2019 3rd IEEE International Conference on Green Energy and Applications. Taiyuan University of Technology, Taiyuan China, IEEE, Piscataway, NJ, 21-29.
• Wang, Zhe., Huang, Song. Ling., Wang, Shen., Wang, Qing. & Zhao, Wei. (2018), Development of a new EMAT for multi-helical SH guided waves based on magnetostrictive effect, 2018 IEEE International Instrumentation and Measurement Technology Conference. Houston, TX, USA, IEEE, Piscataway, 1279-1284.
• Chen, L., Zhao, W., Yu, Y. Q., Wang, Q. & Huang, S. L. (2018), Improved interpolated dynamic DFT synchrophasor estimator considering second harmonic interferences, 2018 IEEE International Instrumentation and Measurement Technology Conference. Houston, TX, USA, IEEE, Piscataway, 1348-1353.
• Wang, Q. & Munthe, T. (2018), Optimising the delivery and pick-up routes for packed water bottles, in Thorvald, Peter & Case, Keith eds, Advances in Transdisciplinary Engineering 8: 16th International Conference on Manufacturing Research. Skövde, Sweden, IOS Press, 441-446.
• Capitaine, J-A & Wang, Q. (2018), Design of a test platform for the determination of lithium-ion batteries state-of-health, ASME 2018 International Design Engineering Technical Conference & Computers and Information in Engineering Conference IDETC/CIE 2018. Quebec City, Canada, ASME.
• Wang, Q., Cheng, X. J. & Wang, J. (2017), A new algorithm for a fast testing and sorting system applied to battery clustering, 6th International Conference on Clean Electrical Power - Renewable Energy Resources Impact. Santa Margherita Ligure, Liguria, Italy, IEEE, Piscataway, 397-402.
• Zhou, J. X., Wang, Q. & Wang, J. (2017), Lithium-ion laptop battery test and energy recycling, ASME 2017 International Design Engineering Technical Conference and Computers and Information in Engineering Conference. Cleveland, Ohio, USA, ASME, Cleveland, Ohio, V004T05A041.
• Mankowski, O. & Wang, Q. (2016), Real-time monitoring of wind turbine blade alignment using laser measurement, 56: 9th International Conference on Digital Enterprise Technology- DET 2016. Nanjing, China, Elsevier, 128-132.
• Xiao, Y., Zhao, W., Chen, L., Huang, S. L. & Wang, Q. (2016), Fast quasi-synchronous harmonic algorithm based on weight window function- mixed radix FFT, IEEE International Workshop on Applied Measurements for Power Systems. Aachen, Germany, IEEE.
• Scanlon, R., Wang, Q. & Wang, J. (2016), Ant colony optimisation model for vehicle routing problem with simultaneous pickup and delivery, Proceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE 2016 4: ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Charlotte, NC, USA, ASME, New York, V004T05A035.
• Cunha, L. & Wang, Q. (2015), Sampling methods for uncertainty in life cycle cost analysis in product design, 4: International Design Engineering Technical Conference and Computer and Information in Engineering Conference IDETC/CIE. Boston, Massachusetts, USA, ASME - American Society of Mechanical Engineers, Boston MA, DETC2015-47116.
• Rees, M. & Wang, Q. (2014), Design and analysis of a sustainable multi-objective distribution network using simulation-based optimisation, 4: ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE. Buffulo, New York, USA, ASME- American Society of Mechanical Engineers, Buffalo NY, Paper No. DETC2014-34957, pp. V004T06A022; 10 pages
• Mankowski, O. & Wang, Q. (2013), Real-time monitoring of wind turbine generator shaft alignment using laser measurement, 11: 2nd International Through-life Engineering Service Conference. Cranfield University, Elsevier, 291-295.
• Dai, H. & Wang, Q. (2012), Reverse logistics network design for the collection of end-of-life vehicles, 71322: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE. Chicago, Iiilinois, USA, ASME, Chicago IL, 101 -111.
• Liu, Jun & Wang, Qing (2011), Towards Sustainable Product Design, ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE 2011. Washington DC USA, ASME, Washington DC, 101-111.
• Yang, B. R. Wang, Q., Trevelyan, J. & Crouch, R. S. (2010), An application of freeform surface modelling by laser scanning technique and reverse engineering, 8th International Conference on Manufacturing Research. Durham University, Durham University, 192-197.
• Jones, N. & Wang, Q. (2009), A mixed integer programming approach for logistic network design and optimisation information and value adding networks, The 6th International Conference on Digital Enterprise Technology. Hong Kong.
• Wang, Q. (2009), Developing a simulation approach to support sustainable remanufacturing planning and control, The 7th International Conference on Manufacturing Research. University of Warwick, University of Warwick, 198-202.
• Sweetman, A. & Wang, Q. (2008), Development of a consumer end-of-life vehicle database system, International Conference on Manufacturing Research 2008. Brunel University, U.K., Brunel University, London, 943-950.
• Wang, Q. (2008), Evaluation of order release mechanisms in supply chain networks: a simulation approach, DET 2008, 5th International Conference on Digital Enterprise Technology. Nantes, France, Publibook, Nantes, 261-269.
• Woy, U. & Wang, Q. (2007), New product development: implementing procedures for sustainable product development in SME's utilising available technologies, The IET International Conference on Agile Manufacturing. Durham University, U.K., Durham University, 26-31.
• Massey, T & Wang, Q. (2007), Modelling and simulation of complex manufacturing systems, The World Congress on Engineering: International Conference of Manufacturing Engineering and Engineering Management. Imperial College, London, Imperial College London.
• Woy, U. & Wang, Q. (2007), Enterprise resource planning (ERP): Business process innovation management in a manufacturing SME, International Conference on Manufacturing Research. De Montfort University, U.K., De Montford University, Leicester, 254-258.
• Doyle, J. & Wang, Q. (2007), Product life cycle process analysis, International Conference on Product Life Cycle Management: Assessing the Industrial Relevance. Kilometro rosso, Italy, Kilometro rosso, 61-70.
• Russel-Johnson, R. & Wang, Q. (2007), End of life recovery and recycling technology in the automotive industry, 4th Intenational Conference on Digital Enterprise Technology. University of Bath, U. K., University of Bath, 556-563.
• Woy, U. Bramall, D.G. & Wang, Q. (2006), A framework for evaluating and selecting computer aided design (CAD) and computer aided manufacturing (CAM) system for use in Small-to-Medium-Sized enterprises (SMEs), Business Innovation for Small-Medium Sized Enterprises. 1-10.
• Wang, Q. Stockton, D.J. & Maropoulos, P (2005), Agile design of the integrated multi-component flexible machining lines, International Conference on Agility. Helsinki University of Technology, Finland, Helsinki University of Technology, 391-396.
• Wang, Q. & Maropoulos, P. (2005), Artificial neural networks as a cost engineering methods in collaborative manufacturing environment, in Sobolewski, M. & Ghodous P. eds, Proceedings of the 12th ISPE international conference on concurrent engineering research and applications 12th ISPE International Conference on Concurrent Engineering Research and Applications. Fort Worth/Dallas, USA, International Society for Productivity Enhancement, Fort Worth, Dallas, 605-610.
• Wang, Q. Potter N. & Maropoulos, P. (2005), Life cycle costing in product design, 1st International Conference on Innovation and Intergration in Aerospace Sciences. Queens University of Belfast, U.K., Queen's University Belfast.
• Wang, Q. & Maropoulos, P. (2004), Development of an integrated simulation tool for flexible machining lines, The 4th International Conference on e-engineering & Digital Enterprise Technology. Leeds Matropolitan University, U.K., Leeds Metropolitan University, 371-378.
• Baguley, P., Wang, Q. & Maropoulos, P. (2004), System thinking applied to life cycle costing and life cycle engineering, The 10th International Conference on Concurrent Enterprising. Spain, 205-212.
• Baguley, P., Armoutis, N., Vogt, O., Coates, G., Wang, Q. & Maropoulos, P. (2004), Cost engineering within collaborating production networks, in Baake, Uwe F. eds, The 11th Annual European Concurrent Engineering Conference. Hasselt, Belgium, 14-18.
• Wang, Q. & Maropoulos, P. (2004), Improving supply chain collaboration by cost modelling technology, The 11th ISPE International Conference on Concurrent Engineering: Research and Applications. Beijing, China, Beijing, 439-442.
• Baguley, P., Wang, Q. & Stockton, D.J. (2003), Improving cost modelling using fuzzy logic, 1st International Conference on Manufacturing Research, Incorporating the Nineteenth National Conference on Manufacturing Research. University of Strathclyde, U. K., University of Strathclyde, 533-538.
• Wang, Q. & Stockton, D.J. (2003), Database design for flexible machining lines, International Conference on Agile Manufacturing. Beijing, China, Beijing, 431-434.
• Wang, Q. & Stockton, D.J. (2003), Designing multi-component flexible machining lines, The 1st International Conference on Manufacturing Research, Incorporating the Nineteenth National Conference on Manufacturing Research. University of Strathclyde, U.K., University of Strathclyde, 191-196.
• Wang, Q. & Stockton, D.J. (2002), System design and optimisation of flexible machining lines, Joint International Conference of Industrial Engineering and Engineering Management. Beijing, China, Beijing, 56-64.
• Wang, Q. & Stockton, D.J. (2002), Artificial neural networks for improving the cost model development process, in Webb, David & Cheng, K. C. eds, The Eighteenth National Conference on Manufacturing Research. Leeds Matropolitan University, U.K., Professional Engineering Publishing, Bury St Edmunds, 95-100.
• Wang, Q. & Stockton, D.J. (2002), Artificial neural networks and their applications in cost model development process, Artificial Neural Networks in Engineering 2002. USA, 1019-1024.
• Baguley, P., Wang, Q. & Stockton, D.J. (2000), Applied advanced cost estimating technology for manufacturing processes, The 17th Conference of the Irish Manufactiuring Committee. Galway, Ireland, Galway, 335-340.
• Wang, Q. & Stockton, D.J. (2000), Using neural networks in cost model development process, The sixteen National Conference on Manufacturing Research. University of East London, U.K., University of East London, 59-63.
• Stockton, D.J. & Wang, Q. (1999), Applying advanced modelling techniques to cost estimating, Proceedings of Association of Cost Engineers. De Montfort University, U.K., De Montford University, Leicester.
• Wang, Q. & Stockton, D.J. (1999), Process time estimating using neural networks, The 15th International Conference in Computer-aided Production Engineering. Durham University, U.K., Durham University, 201-206.

Journal Article

• Huang, J., Guo, J., Huang, H. M., Wang, Q. & Li W.J. (2023). Components of thermal protection mechanism of carbon/phenolic composites exposed to severe aerodynamic heat. Polymer Composites 44(1): 136-147.
• Xu, Libowen, Wang, Qing, Ivrissimtzis, Ioannis & Li, Shisong (2022). Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems 5(1): 011004.
• Liu, M. H., Zhao, W., Wang, Q., Wang, Z. M., Jiang, C. J., Shu, J., Wang, H. & Bai, Y. (2022). Compatibility Issues With Irregular Current Injection Islanding Detection Methods in Multi-DG Units Equipped With Grid-Connected Transformers. IEEE Transactions on Power Electronics 37(3): 3599-3616.
• Wang, Z. Wang, S., Wang, Q., Zhan, Z. F., Zhao, W. & Huang, S. L. (2022). Bayesian compressive sensing for recovering the time-frequency representation of undersampled lamb wave signals. Applied Acoustics 187: 108480.
• Sun, H. Y, Peng, L. S, Wang, S., Wang, Q., Zhao, W. & Huang, S. L. (2021). Effective Focal Area Dimension Optimization of Shear Horizontal Point-Focusing EMAT Using Orthogonal Test Method. IEEE Transactions on Instrumentation and Measurement 70.
• Huang S. L., Sun H. Y., Peng, L. S. Wang, S., Wang, Q. & Zhao W. (2021). Defect detection and identification of point-focusing shear-horizontal EMAT for plate inspection. IEEE Transactions on Instrumentation and Measurement 70: 9506409.
• Huang, Songling, Wang, Zhe, Wang, Shen, Wang, Qing & Zhao, Wei (2021). Characteristic analysis of electromagnetic acoustic transducers for helical shear horizontal wave based on magnetostrictive effect. Review of Scientific Instruments 92(2): 025006.
• Li, S. S, Schlamminger, S., Marangoni, R., Wang, Q., Haddad, D., Seifert, F., Chao, L., Newell, D. & Zhao, W. (2021). Resolution of the paradox of the diamagnetic effect on the Kibble Coil. Scientific Reports 11: 1048.
• Huang, Songling, Peng, Lisha, Sun, Hongyu, Wang, Qing, Zhao, Wei & Wang, Shen (2021). Frequency response of an underwater acoustic focusing composite lens. Applied Acoustics 173: 107692.
• Wang, Zhe, Huang, Songling, Wang, Shen, Wang, Qing & Zhao, Wei (2020). Multi-helical Lamb Wave Imaging for Pipe-like Structures Based on a Probabilistic Reconstruction Approach. IEEE Transactions on Instrumentation and Measurement 70: 6002510.
• Spriggs, Peter & Wang, Qing (2020). Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric Materials. Energies 13(19): 5096.
• Sun, Hongyu, Wang, Shen, Huang, Songling, Peng, Lisha, Wang, Qing, Zhao, Wei & Zou, Juna (2020). 3D focusing acoustic lens optimization method using multi-factor and multi-level orthogonal test designing theory. Applied Acoustics 170: 107538.
• Li, Shisong, Wang, Qing, Zhao, Wei & Huang, Songling (2020). From μ0 to e: A Survey of Major Impacts for Electrical Measurements in Recent SI Revision. IEEE Transactions on Instrumentation and Measurement 69(9): 5956-5965.
• Sun, Hongyu, Huang, Songling, Wang, Qing, Wang, Shen & Zhao, Wei (2020). Orthogonal Optimal Design Method for Point-Focusing EMAT Considering Focal Area Dimensions. Sensors and Actuators A: Physical 312: 112109.
• Gao, Yuan, Liu, Zongde, Wang, Qing, Liu, Congcong & Sun, Youmei (2020). Investigation on strengthening and toughening mechanisms of Nb-Ti-ZrB2 metal matrix ceramic composites reinforced with in situ niobium and titanium boride. International Journal of Refractory Metals and Hard Materials 92: 105282.
• Wang, Zhe, Huang, Songling, Wang, Shen, Wang, Qing & Zhao, Wei (2020). A Damage Localization Method With Multimodal Lamb Wave Based on Adaptive Polynomial Chirplet Transform. IEEE Transactions on Instrumentation and Measurement 69(10): 8076-8087.
• Wang, Zhe, Wang, Shen, Wang, Qing, Zhao, Wei & Huang, Songling (2020). Development of a Helical Lamb Wave Electromagnetic Acoustic Transducer for Pipeline Inspection. IEEE Sensors Journal 20(17): 9715-9723.
• Sun, Hongyu, Wang, Shen, Huang, Songling, Wang, Qing & Zhao, Wei (2020). Numerical modelling of unilateral point-focusing electromagnetic acoustic transducer with experimental validation. International Journal of Applied Electromagnetics and Mechanics 62(4): 645-662.
• Li, Shisong, Schlamminger, Stephan & Wang, Qing (2020). A Simple Improvement for Permanent Magnet Systems for Kibble Balances: More Flat Field at Almost No Cost. IEEE Transactions on Instrumentation and Measurement 69(10): 7752-7760.
• Sun, Hongyu, Wang, Shen, Huang, Songling, Peng, Lisha, Wang, Qing & Zhao, Wei (2020). Oblique Point-Focusing Shear-Horizontal Guided-Wave Electromagnetic Acoustic Transducer With Variable PPM Spacing. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67(8): 1691-1700.
• Song, Gongsheng, Wang, Qing, Sun, Li, Li, Sishi, Sun, Yafei, Fu, Qiang & Pan, Chunxu (2020). One-step synthesis of sandwich-type Cu/graphene/Cu ultrathin foil with enhanced property via electrochemical route. Materials & Design 191: 108629.
• Wang, Zhe, Huang, Songling, Wang, Shen, Wang, Qing & Zhao, Wei (2020). Design of Electromagnetic Acoustic Transducer for Helical Lamb Wave With Concentrated Beam. IEEE Sensors Journal 20(12): 6305-6313.
• Sun, Hongyu, Wang, Shen, Huang, Songling, Peng, Lisha, Wang, Qing, Zhao, Wei & Zou, Jun (2020). Point-Focusing Shear-Horizontal Guided Wave EMAT Optimization Method Using Orthogonal Test Theory. IEEE Sensors Journal 20(12): 6295-6304.
• Liu, M. H, Zhao, W., Wang, Q., Huang, S. L. & Shi, K. P. (2020). A solution to the parameter selection and current static error issues with frequency shift islanding detection methods. IEEE Transactions on Industrial Electronics 68(2): 1401-1411.
• Sun, Hongyu, Wang, Shen, Huang, Songling, Peng, Lisha, Wang, Qing & Zhao, Wei (2020). Design and characterization of an acoustic composite lens with high-intensity and directionally controllable focusing. Scientific Reports 10(1): 1469.
• Yu, Yiqing, Zhao, Wei, Chen, Lei, Wang, Qing & Huang, Songling (2020). Power Measurement Accuracy Analysis in the Presence of Interharmonics. Measurement 154: 107484.
• He, Hengjing, Zhao, Wei, Huang, Songling, Fox, Geoffrey & Wang, Qing (2020). Research on the Architecture and its Implementation for Instrumentation and Measurement Cloud. IEEE Transactions on Services Computing 13(5): 944-957.
• Wang, Z., Huang, S. L., Wang, S., Zhuang, S. Y., Wang, Q. & Zhao, W. (2020). Compressed Sensing Method for Health Monitoring of Pipelines Based on Guided Wave Inspection. IEEE Transactions on Instrumentation and Measurement 69(7): 4722-4731.
• Huang, Songling, Sun, Hongyu, Shen, Gongtian, Wang, Baoxuan, Wang, Qing, Zou, Jun & Wang, Shen (2020). Characteristics of T(0, 1) Guided-Wave Point-Focusing Electromagnetic Acoustic Transducer for Pipe Inspection. IEEE Sensors Journal 20(6): 2895-2903.
• Huang, Songling, Sun, Hongyu, Wang, Shen, Wang, Qing & Zhao, Wei (2019). Numerical evaluation of focal position selection by line-focusing electromagnetic acoustic transducer with experimental validation. International Journal of Applied Electromagnetics and Mechanics 61(3): 341-355.
• Wang, Zhe, Huang, Songling, Wang, Shen, Wang, Qing & Zhao, Wei (2019). Multifrequency Identification and Exploitation in Lamb Wave Inspection. IEEE Access 7: 150435-150443.
• Chen, Lei, Zhao, Wei, Wang, Fuping, Wang, Qing & Huang, Songling (2019). Accurate and fast synchrophasor estimator for distribution networks. Measurement Science and Technology 30(12): 125004.
• Zhuang, Shuangyong, Zhao, Wei, Wang, Qing, Wang, Zhe, Chen, Lei & Huang, Songling (2019). A High-Resolution Algorithm for Supraharmonic Analysis Based on Multiple Measurement Vectors and Bayesian Compressive Sensing. Energies 12(13): 2559.
• Chan, Ching Hin Lydia, Wang, Qing, Holden, Roger, Huang, Songling & Zhao, Wei (2019). Optimal Number of Control Points for Fitting B-Splines in Wind Turbine Blade Measurement. International Journal of Precision Engineering and Manufacturing 20(9): 1507-1517.
• Ovenden, M., Wang, Q., Huang, S. L., Zhao, W. & Wang, S. (2019). Real-Time Monitoring of Wind Turbine Blade Alignment Using Laser Displacement and Strain Measurement. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems 2(3): 031001.
• Guo, Jin, Huang, Haiming, Wang, Qing, Tian, Ye & Zhao, Yipu (2019). Measuring method for thermal conductivity of a pyrolysis layer. Polymer Degradation and Stability 166: 155-162.
• Qi, Jingya, Wang, Zhao, Huang, Junhui, Wang, Qing & Gao, Jianmin (2019). Heterodyne interferometer with two parallel-polarized input beams for high-resolution roll angle measurement. Optics Express 27(10): 13820-13830.
• Liu, M. H., Zhao, W., Wang, Q., Huang, S. L. & Shi, K. P (2019). Compatibility Issues with Irregular Current Injection Islanding Detection Methods and a Solution. Energies 12(8): 1467.
• Yang, Z. X, Wang, Q., Du H. M., Fan, J. B & Liang, J. (2019). Dynamic characterization method of accelerometers based on the Hopkinson bar calibration system. Sensors & Actuators: A. Physical 293: 21-28.
• Wu, Quanhui, Sun, Yazhou, Chen, Wanqun, Wang, Qing & Chen, Guoda (2019). Theoretical prediction and experimental verification of the unbalanced magnetic force in air bearing motor spindles. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233(12): 2330-2344.
• Sun, Hongyu, Huang, Songling, Wang, Qing, Wang, Shen & Zhao, Wei (2019). Improvement of unidirectional focusing periodic permanent magnet shear-horizontal wave electromagnetic acoustic transducer by oblique bias magnetic field. Sensors and Actuators A: Physical 290: 36-47.
• Sun, Hongyu, Wang, Shen, Huang, Songling, Wang, Qing & Zhao, Wei (2019). Point-Focusing of Shear-Horizontal Wave Using Fan-Shaped Periodic Permanent Magnet Focusing Coils EMAT for Plate Inspection. IEEE Sensors Journal 19(12): 4393-4404.
• Huang, S. L., Peng, L. S., Wang, Q. & Wang, S. (2019). An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect. IEEE Transactions on Instrumentation and Measurement 68(6): 2229-2236.
• Ge, L., Deng, H. Y., Wang, Q., Hu, Z. & Li, J. L. (2019). Study of the influence of temperature on the measurement accuracy of transit-time ultrasonic flowmeters. Sensor Review 39(2): 269-276.
• Chen, L., Zhao, W., Wang, Q., Wang, F. P. & Huang, S. L. (2019). Dynamic Harmonic Synchrophasor Estimator based on Sinc Interpolation Functions. IEEE Transactions on Instrumentation and Measurement 68(9): 3054-3065.
• Capitaine, J.-A. & Wang, Q. (2019). Design of a test platform for the determination of Lithium-ion batteries state of health. Journal of Mechanical Design 141(2): 021702.
• Huang, S. L., Sun, H. Y., Wang, Q., Wang, S. & Zhao, W. (2019). Unidirectional focusing of horizontally polarized shear elastic waves electromagnetic acoustic transducers for plate inspection. Journal of Applied Physics 125(16): 164504.
• Sun, Hongyu, Huang, Songling, Wang, Qing, Wang, Shen & Zhao, Wei (2019). Characteristics of Negative Corona Discharge in Air at Various Gaps. IEEE Transactions on Plasma Science 47(14): 736-741.
• Zhuang, S. Y., Zhao, W., Wang, R., Wang, Q. & Huang, S. L. (2019). New measurement algorithm for supraharmonics based on multiple measurement vectors model and orthogonal matching pursuit. IEEE Transactions on Instrumentation and Measurement 68(6): 1671-1679.
• Chen, L., Zhao, W., Wang, F. P., Wang, Q. & Huang, S. L. (2019). An Interharmonic phasor and frequency estimator for subsynchronous oscillation identification and monitoring. IEEE Transactions on Instrumentation and Measurement 68(6): 1714-1723.
• Wang, S., Huang, S. L., Wang, Q., Wang, Z. & Zhao, W. (2019). Characterizing excitability of Lamb waves generated by electromagnetic acoustic transducers with coupled frequency domain models. Ultrasonics 93: 71-80.
• Wang, Shen, Huang, Songling, Wang, Qing, Wang, Zhe & Zhao, Wei (2018). Constrained optimization of a meander line EMAT generating S0 mode Lamb waves with genetic algorithms. International Journal of Applied Electromagnetics and Mechanics 58(4): 411-429.
• Liu, M. H., Zhao, W., Wang, Q., Huang, S. L. & Shi, K. P. (2018). An irregular current injection islanding detection method based on an improved impedance measurement scheme. Energies 11(2474): 2474.
• Chen, L., Zhao, W., Wang, F. P., Wang, Q. & Huang, S. L. (2018). Enhanced Interpolated Dynamic DFT Synchrophasor Estimator Considering Second Harmonic Interferences. Sensors 18(9): 2748.
• Shi, Kun. Peng., Qiao, Ying., Zhao, Wei., Wang, Qing., Liu, Meng. Hua. & Lu, Z. X. (2018). An improved random forest model of short-term wind-power forecasting to enhance accuracy, efficiency, and robustness. Wind Energy 21(12): 1383-1394.
• Ge, L., Li, H. L., Wang, Q., Wei, G. H., Hu, Z., Liao, Junbi & Li, Junlan (2018). Design and Optimization of Annular Flow Electromagnetic Measurement System for Drilling Engineering. Journal of Sensors 2018: 4645878.
• Gao, Y. C, Zhao, W, Qu, K. F., Li, H., Shao, H. M., Wang, Qing & Huang, Songling (2018). Design of equivalent coils for anti- interference testing of heavy current transformers. International Journal of Applied Electromagnetics and Mechanics 56(2): 211-223.
• Liu, M. H., Zhao, W., Huang, S. L., Wang, Q. & Shi, K. P. (2018). Problems in the classic frequency shift islanding detection methods applied to energy storage converters and a coping strategy. IEEE Transactions on Energy Conversion 33(2): 496-505.
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• Ge, L., Wei, G. H., Wang, Q., Hu, Z. & Li, J. L. (2017). Novel annular flow electromagnetic measurement system for drilling engineering. IEEE Sensors Journal 17(18): 5831-5839.
• Zhang, Y., Huang, S. L., Zhao, W., Wang, S. & Wang, Q. (2017). Electromagnetic ultrasonic guided wave long-term monitoring and data difference adaptive extraction method for buried oil-gas pipelines. International Journal of Applied Electromagnetics and Mechanics 54(3): 329-339.
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• Massey, T. & Wang, Q. (2008). The development of a discrete-event simulation model to aid the design of complex manufacturing systems. Engineering Letters 6(1): 20, 131-140.
• Wang, Q. & Ingham, N. (2008). A discrete event modelling approach for supply chain simulation. International Journal of Simulation Modelling 7(3): 124-134.
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Patent

• Huang, S. L., Zhao, W., Zhang, Y., Wang, Q. & Wang, S. (2020). Device and method for detecting defect in main shaft of wind turbine. US Patent: Patent No. US 10,605,790 B2. Application filed: 10 August 2017. Granted: 1 January 1970