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Michael G. Pecht

Active 1987–2026

248
Papers
19,236
Citations
65
h-index
178
i10-index

Citations

Citations per year for Michael G. Pecht1995: 2 citations1996: 2 citations1997: 1 citations1998: 1 citations1999: 3 citations2000: 3 citations2001: 2 citations2002: 5 citations2003: 3 citations2004: 3 citations2005: 6 citations2006: 8 citations2007: 9 citations2008: 25 citations2009: 27 citations2010: 46 citations2011: 46 citations2012: 101 citations2013: 130 citations2014: 185 citations2015: 247 citations2016: 276 citations2017: 341 citations2018: 476 citations2019: 548 citations2020: 680 citations2021: 697 citations2022: 683 citations2023: 715 citations2024: 708 citations2025: 611 citations2026: 124 citations2027: 1 citations

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,155 citing papers, 44.2% of this breakdownUnited States: 811 citing papers, 11.4% of this breakdownUnited Kingdom: 287 citing papers, 4% of this breakdownSouth Korea: 269 citing papers, 3.8% of this breakdownHong Kong: 204 citing papers, 2.8% of this breakdownCanada: 198 citing papers, 2.8% of this breakdownIndia: 184 citing papers, 2.6% of this breakdownFrance: 170 citing papers, 2.4% of this breakdownItaly: 166 citing papers, 2.3% of this breakdownGermany: 134 citing papers, 1.9% of this breakdownSingapore: 120 citing papers, 1.7% of this breakdownAustralia: 117 citing papers, 1.6% of this breakdown
0%44.2%Other 18.5%

Institutions

Fields

  • Engineering73.3%
  • Computer Science16.7%
  • Decision Sciences1.7%
  • Medicine1.5%
  • Physics and Astronomy1%
  • Environmental Science1%
  • Other4.8%

Topics

  • Machine Fault Diagnosis Techniques10%
  • Fault Detection and Control Systems7.5%
  • Reliability and Maintenance Optimization6.9%
  • Advanced Battery Technologies Research6.5%
  • Advancements in Battery Materials3.2%
  • Gear and Bearing Dynamics Analysis2.8%
  • Other63.1%

Coauthors

All papers

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  1. Deep Residual Shrinkage Networks for Fault Diagnosis

    Authors: Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Michael G. Pecht - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2019 cited by 1,363

  2. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

    Authors: Yongzhi Zhang, Rui Xiong, Hongwen He, Michael G. Pecht - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2018 cited by 1,254

  3. Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process

    Authors: Xiao-Sheng Si, Wenbin Wang, Chang-Hua Hu, Dong-Hua Zhou, Michael G. Pecht - IEEE Transactions on Reliability, IEEE Trans. Reliab. 2012 cited by 645

  4. Small data challenges for intelligent prognostics and health management: a review

    Authors: Chuanjiang Li, Shaobo Li, Yixiong Feng, Konstantinos Gryllias, Fengshou Gu, Michael G. Pecht - Artificial Intelligence Review, Artif. Intell. Rev. 2024 cited by 117

  5. Machine learning pipeline for battery state of health estimation

    Authors: Darius Roman, Saurabh Saxena, Valentin Robu, Michael G. Pecht, David Flynn - Nature Machine Intelligence, Nat. Mach. Intell. 2021 cited by 586

  6. An ensemble model for predicting the remaining useful performance of lithium-ion batteries

    Authors: Yinjiao Xing, Eden W. M. Ma, Kwok-Leung Tsui, Michael G. Pecht - Microelectronics Reliability, Microelectron. Reliab. 2013 cited by 655

  7. Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis

    Authors: Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2020 cited by 202

  8. Imbalanced bearing fault diagnosis under variant working conditions using cost-sensitive deep domain adaptation network

    Authors: Zhenyu Wu, Hongkui Zhang, Juchuan Guo, Yang Ji, Michael G. Pecht - Expert Systems with Applications, Expert Syst. Appl. 2022 cited by 123

  9. Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis

    Authors: Jing Tian, Carlos Morillo, Michael H. Azarian, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2015 cited by 480

  10. Degradation Data Analysis Using Wiener Processes With Measurement Errors

    Authors: Zhi-Sheng Ye, Yu Wang, Kwok-Leung Tsui, Michael G. Pecht - IEEE Transactions on Reliability, IEEE Trans. Reliab. 2013 cited by 363

  11. A Local Adaptive Minority Selection and Oversampling Method for Class-Imbalanced Fault Diagnostics in Industrial Systems

    Authors: Zhenyu Wu, Wenfang Lin, Binghao Fu, Juchuan Guo, Yang Ji, Michael G. Pecht - IEEE Transactions on Reliability, IEEE Trans. Reliab. 2019 cited by 71

  12. Reliability analysis of dependent competing failure processes with time-varying δ shock model

    Authors: Hao Lyu, Hongchen Qu, Zaiyou Yang, Li Ma, Bing Lu, Michael G. Pecht - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2022 cited by 53

  13. Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles

    Authors: Rui Xiong, Yongzhi Zhang, Ju Wang, Hongwen He, Simin Peng, Michael G. Pecht - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2018 cited by 441

  14. Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes

    Authors: Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2017 cited by 371

  15. Reliability analysis of the multi-state system with nonlinear degradation model under Markov environment

    Authors: Hao Lyu, Hongchen Qu, Hualong Xie, Yimin Zhang, Michael G. Pecht - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2023 cited by 43

  16. A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles

    Authors: Chuanjiang Li, Shaobo Li, Ansi Zhang, Lei Yang, Enrico Zio, Michael G. Pecht, Konstantinos Gryllias - Journal of Computational Design and Engineering, J. Comput. Des. Eng. 2022 cited by 44

  17. Dynamic Equivalent Circuit Model to Estimate State-of-Health of Lithium-Ion Batteries

    Authors: Shehla Amir, Moneeba Gulzar, Muhammad Osama Tarar, Ijaz Haider Naqvi, Nauman Ahmad Zaffar, Michael G. Pecht - IEEE Access 2022 cited by 174

  18. A Weighted Deep Domain Adaptation Method for Industrial Fault Prognostics According to Prior Distribution of Complex Working Conditions

    Authors: Zhenyu Wu, Shuyang Yu, Xinning Zhu, Yang Ji, Michael G. Pecht - IEEE Access 2019 cited by 69

  19. Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis

    Authors: Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2018 cited by 175

  20. A Review of Second-Life Lithium-Ion Batteries for Stationary Energy Storage Applications

    Authors: Xiaosong Hu, Xinchen Deng, Feng Wang, Zhongwei Deng, Xianke Lin, Remus Teodorescu, Michael G. Pecht - IEEE, Proc. IEEE 2022 cited by 177

  21. Reliability analysis for multi-component system considering failure propagation and dependent competing failure process

    Authors: Hao Lyu, Zhihang Li, Xuehang Qiao, Bing Lu, Hualong Xie, Michael G. Pecht - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2025 cited by 22

  22. Category-level selective dual-adversarial network using significance-augmented unsupervised domain adaptation for surface defect detection

    Authors: Siyu Zhang, Lei Su, Jiefei Gu, Ke Li, Weitian Wu, Michael G. Pecht - Expert Systems with Applications, Expert Syst. Appl. 2023 cited by 16

  23. Remaining useful life prediction of lithium-ion battery with unscented particle filter technique

    Authors: Qiang Miao, Lei Xie, Hengjuan Cui, Wei Liang, Michael G. Pecht - Microelectronics Reliability, Microelectron. Reliab. 2012 cited by 482

  24. Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

    Authors: Xiaohang Jin, Ming-Bo Zhao, Tommy W. S. Chow, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2013 cited by 421