1.      Tianyu Liu, Bojian Chen, Weiguo Huang,Lisa Jackson and Lei Mao * et.al, Assessment of Tool Wear With Insufficient and Unbalanced Data Using Improved Conditional Generative Adversarial Net and High-Quality Optimization Algorithm, IEEE Transactions on Industrial Electronics, 2023, 70(11):11670-11680.

2.      Wenhao Zou, Zhiqiang Lu, Zhiyong Hu, and Lei Mao *, Remaining Useful Life Estimation of Bearing Using Deep Multi-Scale Window-Based Transformer, IEEE Transactions on Instrumentation and Measurement, 2023. (Accepted, SCI, IF 5.332)

3.      Yuning Sun, Lei Mao *, Kai He, Zhongyong Liu, Shouxiang Lu, and Lisa Jackson, A Simulation Study on Magnetic Field Distribution of Two-Cells Proton Exchange Membrane Fuel Cell Stack,The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022), 2023, 1016: 186-193.

4.      Kai He, Zhongyong Liu, Heng Zhang, and Lei Mao *, Energy Management Strategy for Fuel Cell Hybrid Power System Considering Fuel Cell Recoverable Performance Loss, The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022), 2023, 1016: 1160-1168.

5.      Jinzhong Li, Yuguang Xie, Hu Wang, and Lei Mao *, Coupling Forecasting of Short-Term Power Load and Renewable Energy Sources Generation Based on State-Space Equations, The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022), 2023, 1016: 234-241.

6.      孙誉宁，毛磊 *，黄伟国等. 基于磁场的质子交换膜燃料电池故障诊断方法, 机械工程学报, 2022, 58(22): 110-114.

7.      Yuning Sun, Lei Mao *, Kai He, Zhongyong Liu, and Shouxiang Lu, Imaging PEMFC performance heterogeneity by sensing external magnetic field, Cell Reports Physical Science,2022, 3(10): 101083.

8.      Kai He, Zhongyong Liu, Yuning Sun, Lei Mao *, Shouxiang Lu, Degradation prediction of proton exchange membrane fuel cell using auto-encoder based health indicator and long short-term memory network, International Journal of Hydrogen Energy, 2022, 47(82): 35055-35067. (SCI, IF 7.139)

9.      Yuning Sun, Lei Mao *, Hang Wang, Zhongyong Liu, Shouxiang Lu, Simulation study on magnetic field distribution of PEMFC, International Journal of Hydrogen Energy,2022, 47(78): 33439-33452. (SCI, IF 7.139)

10.    Zhongyong Liu, Yuning Sun, Lei Mao *, Heng Zhang, Lisa Jackson, Qiang Wu, and Qiang Wu, Efficient fault diagnosis of proton exchange membrane fuel cell using external magnetic field measurement, Energy Conversion and Management, 2022, 266:115809. (SCI, IF 9.709)

11.    Kun Yu, Hang Wang, Lei Mao *, Qingbo He, and Qiang Wu, IC Curve-based Lithium-ion Battery SOC Estimation at High Rate Charging Current, IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-9. (SCI, IF 5.332)

12.    Hang Wang, Lang Dai, Lei Mao *, Yongbin Liu, Yi Jin, and Qiang Wu,In-situ detection of lithium-ion battery pack capacity inconsistency using magnetic field scanning imaging. Small Methods, 2022, 6(3): 2101358. (SCI, IF: 14.188)

13.    Hang Wang, Kun Yu, Lei Mao *, Qingbo He, Qiang Wu, and Zhinong Li, Evaluation of lithium-ion battery pack capacity consistency using one-dimensional magnetic field scanning. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 3507610. (SCI, IF: 4.016)

14.    Song Z., Huang W., Liao Y., Mao L., Shi J., Wang J., Shen C., Zhu Z (2022).  Sparse representation based on generalized smooth logarithm regularization for bearing fault diagnosis, Measurement Science and Technology. (Accepted，SCI, IF 2.046)

15.    Mao, L. *, Liu, Z., Low, D., Pan, W., He, Q., Jackson, L., Wu, Q. (2021). An evaluation method for feature selection in proton exchange membrane fuel cell fault diagnosis, IEEE Transactions on Industrial Electronics, (Accepted)

16.    Ye zhuang, Yu jiaobo*, Mao lei. (2021). Multi-source Domain Adaption for Health Degradation Monitoring of Lithium-ion Batteries, IEEE Transactions on Transportation Electrification, (Accepted)

17.    He, K., Mao, L. *, Yu, J., Huang, W., He, Q., Jackson, L. (2021). Long-term performance prediction of PEMFC based on model inputs optimization, IEEE Transactions on Instrumentation and Measurement, doi:10.1109/TIM.2021.3058365

18.    Liu, Z., Pei, M., He, Q., Wu, Q., Jackson, L., Mao, L.* (2021). A novel method for polymer electrolyte membrane fuel cell fault diagnosis using 2D data, Journal of Power Sources, 482， 228894.  (SCI, IF 8.247)

19.    Tsalapati, E., Johnson, C.W.D., Jackson, T.W., Jackson, L., Low, D., Davies, B., Mao, L., West, A. (2021). Enhancing polymer electrolyte membrane fuel cell system diagnostic through semantic modelling, Expert Systems With Applications. 163：113550. (SCI, IF 5.452)

20.    Pei, M., Zhang, C., Hu, M., Jackson, L, Mao, L.* (2020). A fuzzy logic-based method for proton exchange membrane fuel cell fault diagnosis, International Conference on Sensing, Measurement and Data Analytics in the era of Artificial Intelligent (ICSMD2020), October 16-23, Xi-an, China. (EI)

21.    Li, W., Cheng, X., Zhang, C., Mao, L. (2020). Battery evaluation based on mechanism parameters. International Conference on Sensing, Measurement and Data Analytics in the era of Artificial Intelligent (ICSMD2020) October 16-23, Xi-an, China. (EI)

22.    Wu, S., Peng, X., Mao, L.*, Liu A., Dong L., Wang T. (2020). On-line fault diagnosis of polymer electrolyte membrane (PEM) fuel cell with polarization curve. International Conference on Sensing, Measurement and Data Analytics in the era of Artificial Intelligent (ICSMD2020) October 16-23, Xi-an, China. (EI)

23.    Dai, L., Liu, T., Liu, Z., Jackson, L., Goodall, P., Shen, C., Mao, L. *(2020). An improved deep learning model for on-line tool condition monitoring using output power signals. Shock and Vibration, doi:org/10.1155/2020/8843314

24.    黄伟国，李仕俊，毛磊，王俊，沈长青，朱忠奎 (2020). 多源稀疏优化方法研究及其在齿轮箱符合故障检测中的应用. 机械工程学报

25.    He, K., Zhang, C., He, Q., Wu, Q., Lisa, J., Mao, L.* (2020) Effectiveness of PEMFC historical state and operating mode in PEMFC prognosis, International Journal of Hydrogen Energy, 45(56): 32355-32366. (SCI, IF 4.939)

26.    Zhang, C., Li, W., Hu, M., Cheng, X., He K., Mao, L. ^* (2020). A comparative study of using polarization curve models in proton exchange membrane fuel cell degradation analysis, Energies, 13(15): 3759 (SCI, IF 2.702)

27.    Mao, L. *, Jackson, L., Huang, W., Li, Z., Ben, D. (2020). Polymer Electrolyte Membrane Fuel Cell Fault Diagnosis and Sensor Abnormality Identification using Sensor Selection Method, Journal of Power Sources, 299: 596-603. (SCI, IF 8.247)

28.    Huang, W., Li, N., Selesnick, I., Shi, J., Wang, J., Mao, L., Jiang, X., Zhu, Z. (2020) Non-convex group sparsity signal decomposition via convex optimization for bearing fault diagnosis. IEEE Transactions on Instrumentation and Measurement, 69(7):4863-4872.  (SCI, IF 3.658)

29.    Y.Y.A. Abuker, Z. Liu, L. Mao* (2019). Fault classification of polymer electrolyte membrane fuel cell system based on empirical mode decomposition. 2nd World Congress on Condition Monitoring, WCCM2019, December 2-5, Singapore.

30.    Z. Liu, W. Pan, Y.Y.A. Abuker, L. Mao* (2019). A novel method of PEM fuel cell fault diagnosis based on signal-to-image conversion. 2nd World Congress on Condition Monitoring, WCCM2019, December 2-5, Singapore.

31.    W.T. Pan, Y.Y.A. Abuker, L. Mao* (2019). Investigation of feature effectiveness in fault diagnosis of PEM fuel cell system. The 10th IEEE Prognostics and System Health Management Conference, PHM-2019, October 25-27, Qingdao, China.

32.    Mao, L.*, Jackson, L. (2018). Effect of sensor set size on polymer electrolyte membrane fuel cell fault diagnosis, Sensors, 18(9):2777 (SCI, IF 3.275)

33.    毛磊 (2018).基于贝叶斯网络的燃料电池故障诊断.振动与冲击, 37:282:287. (EI)

34.    Mao, L.*, Jackson, L., Davies, B. (2018). Effectiveness of a novel sensor selection algorithm in PEM fuel cell on-line diagnosis. IEEE Transactions on Industrial Electronics.65(9), 7301-7310.(SCI, IF 7.515)

35.    Mao, L. *,Jackson, L., Davies, B. (2018). Investigation of PEMFC fault diagnosis with consideration of sensor reliability. International Journal of Hydrogen Energy. 43(35):16941-16948 (SCI, IF 4.939)

36.    Mao, L., Goodall, P., Jackson, L., West, A. (2018). Enhanced condition monitoring of the machining process using wavelet packet transform, European Safety and Reliability Conference 2018, 17-21 June, 2018, Trondheim, Norway. (EI)

37.    Vasilyev, A., Mao, L., Jackson, L., Andrews, J. (2018). The use of bond graph modelling in polymer electrolyte membrane fuel cell fault diagnosis, European Safety and Reliability Conference 2018, 17-21 June, 2018, Trondheim, Norway. (EI)

38.    Lisa Jackson, Melanie-Jane Stoneman, Heather Callaghan, Hanjing Zhang, Cristina Latsou, Sarah Dunnett, Lei Mao.(2018). Influencing Operational Policing Strategy by Predictive Service Analytics. 51st Hawaii International Conference on System Sciences, 03-06 January, 2018, Waikoloa Village, HI, United States. (SCI)

39.    Eleni Tsalapati, Thomas W. Jackson, William Johnson, Lisa Jackson, Andrey Vasilyev, Andrew West, Lei Mao, Ben Davies (2018). The Role of Sematic Technologies in Diagnostic and Decision Support for Service Systems. 51st Hawaii International Conference on System Sciences, 03-06 January, 2018, Waikoloa Village, HI, United States. (SCI)

40.    Mao, L. *, Davies, B., Jackson, L. (2017). Application of sensor selection approach in polymer electrolyte membrane fuel cell prognostics and health management. Energies， 10(10), 1511. (SCI, IF 2.702)

41.    Hou, C., Mao, L., Lu, Y.* (2017). Experimental study of extracting artificial boundary condition frequencies for dynamic model updating. Smart Structures and Systems, 20(2): 247-261 (SCI, IF 3.622)

42.    Mao, L. *, Jackson, L., Jackson, T. (2017). Investigation of polymer electrolyte membrane fuel cell internal behaviour during long term operation and its use in prognostics. Journal of Power Sources., 362:39-49. (SCI, IF 8.247)

43.    Mao, L. *, Lu, Y. (2017). Experimental study of sensitivity-aided application of artificial boundary condition frequencies for damage identification. Engineering Structures, 134:253-261.(SCI, IF 3.548)

44.    Mao, L. *, Barnett, S.J. (2017). Investigation of toughness of ultra high performance fibre reinforced concrete (UHPFRC) beam under impact loading. International Journal of Impact Engineering, 99:26-38. (SCI, IF 3.642)

45.    Mao, L. *,Jackson, L., Dunnett, S.J. (2017). Fault diagnosis of practical polymer electrolyte membrane (PEM) fuel cell system with data-driven approaches. Fuel Cells, 17(2): 247-258.(SCI, IF 1.876)

46.    Mao, L., Jackson, L.J., Davies, B. (2017). Fault diagnosis of a polymer electrolyte membrane fuel cell using Bayesian network. 30th Conference on Condition Monitoring and Diagnostic Engineering Management. 10-13 July, Preston, UK.