Michael Pecht

52.3k total citations · 28 hit papers
1.0k papers, 39.5k citations indexed

About

Michael Pecht is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Michael Pecht has authored 1.0k papers receiving a total of 39.5k indexed citations (citations by other indexed papers that have themselves been cited), including 571 papers in Electrical and Electronic Engineering, 234 papers in Mechanical Engineering and 208 papers in Automotive Engineering. Recurrent topics in Michael Pecht's work include Electronic Packaging and Soldering Technologies (244 papers), Advanced Battery Technologies Research (195 papers) and Reliability and Maintenance Optimization (136 papers). Michael Pecht is often cited by papers focused on Electronic Packaging and Soldering Technologies (244 papers), Advanced Battery Technologies Research (195 papers) and Reliability and Maintenance Optimization (136 papers). Michael Pecht collaborates with scholars based in United States, China and Hong Kong. Michael Pecht's co-authors include Michael Osterman, Yinjiao Xing, Nicholas Williard, Michael H. Azarian, Kwok‐Leung Tsui, Rui Xiong, Xiao Hu, Hongwen He, Yongzhi Zhang and Diganta Das and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Renewable and Sustainable Energy Reviews.

In The Last Decade

Michael Pecht

1.0k papers receiving 37.8k citations

Hit Papers

Deep Residual Shrinkage Networks... 2008 2026 2014 2020 2019 2018 2020 2011 2013 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Residual Shrinkage Networks for Fault Diagnosis
    2019 994 citations Michael Pecht et al. profile →
  2. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
    2018 953 citations Michael Pecht et al. profile →
  3. Battery Lifetime Prognostics
    2020 911 citations Michael Pecht et al. profile →
  4. Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
    2011 823 citations Michael Pecht et al. profile →
  5. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
    2013 741 citations Michael Pecht et al. profile →
  6. Prognostics and Health Management of Electronics
    2008 634 citations Michael Pecht profile →
  7. Light emitting diodes reliability review
    2011 608 citations Diganta Das, Michael Pecht et al. profile →
  8. An ensemble model for predicting the remaining useful performance of lithium-ion batteries
    2013 520 citations Michael Pecht et al. profile →
  9. Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process
    2012 484 citations Michael Pecht et al. profile →
  10. Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature
    2015 446 citations Feng Leng, Cher Ming Tan et al. Scientific Reports profile →
  11. Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries
    2016 425 citations Michael Pecht et al. profile →
  12. A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors
    2018 419 citations Michael Pecht et al. profile →
  13. State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
    2014 418 citations Michael Pecht et al. profile →
  14. Machine learning pipeline for battery state-of-health estimation
    2021 418 citations Michael Pecht et al. profile →
  15. Remaining useful life prediction of lithium-ion battery with unscented particle filter technique
    2012 408 citations Michael Pecht et al. profile →
  16. Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis
    2015 399 citations Michael H. Azarian, Michael Pecht et al. IEEE Transactions on Industrial Electronics profile →
  17. A review of lead-free solders for electronics applications
    2017 383 citations Shunfeng Cheng, Michael Pecht et al. profile →
  18. Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression
    2013 380 citations Michael Pecht et al. profile →
  19. Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis
    2013 358 citations Michael Pecht et al. IEEE Transactions on Industrial Electronics profile →
  20. Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles
    2018 346 citations Simin Peng, Michael Pecht et al. profile →
  21. Battery warm-up methodologies at subzero temperatures for automotive applications: Recent advances and perspectives
    2019 333 citations Michael Pecht et al. profile →
  22. Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes
    2017 312 citations Michael Pecht et al. IEEE Transactions on Industrial Electronics profile →
  23. Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends
    2020 307 citations Michael Pecht et al. profile →
  24. Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model
    2013 302 citations Michael Pecht et al. profile →
  25. Degradation Data Analysis Using Wiener Processes With Measurement Errors
    2013 289 citations Michael Pecht et al. profile →
  26. Mitigation strategies for Li-ion battery thermal runaway: A review
    2021 263 citations Lingxi Kong, Michael Pecht et al. profile →
  27. Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications
    2023 140 citations Michael Pecht et al. profile →
  28. Small data challenges for intelligent prognostics and health management: a review
    2024 57 citations Michael Pecht et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Pecht United States 91 21.6k 15.7k 10.6k 7.2k 7.0k 1.0k 39.5k
Enrico Zio Italy 84 5.3k 0.2× 1.6k 0.1× 10.7k 1.0× 8.6k 1.2× 4.3k 0.6× 1.1k 32.0k
Zhe Chen China 88 28.6k 1.3× 2.1k 0.1× 17.0k 1.6× 1.3k 0.2× 2.2k 0.3× 2.0k 39.5k
Dong Wang China 63 3.2k 0.1× 2.2k 0.1× 8.0k 0.8× 1.7k 0.2× 5.8k 0.8× 687 15.4k
Ming J. Zuo Canada 80 2.7k 0.1× 851 0.1× 9.8k 0.9× 6.0k 0.8× 8.9k 1.3× 506 23.9k
Jay Lee United States 64 2.5k 0.1× 1.8k 0.1× 7.8k 0.7× 3.1k 0.4× 4.3k 0.6× 350 21.4k
Liang Gao China 89 3.4k 0.2× 2.8k 0.2× 6.4k 0.6× 762 0.1× 5.3k 0.8× 1.0k 34.5k
Amrit Pratap United States 4 5.7k 0.3× 1.6k 0.1× 4.1k 0.4× 790 0.1× 4.4k 0.6× 5 34.1k
Sakshi Agarwal India 6 5.7k 0.3× 1.6k 0.1× 4.1k 0.4× 790 0.1× 4.4k 0.6× 27 34.1k
Robert X. Gao United States 64 2.4k 0.1× 1.1k 0.1× 9.0k 0.8× 923 0.1× 7.9k 1.1× 381 19.4k
Saeid Nahavandi Australia 75 4.7k 0.2× 2.4k 0.1× 4.8k 0.5× 664 0.1× 2.0k 0.3× 889 26.1k

Countries citing papers authored by Michael Pecht

Since Specialization
Citations

This map shows the geographic impact of Michael Pecht's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Pecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pecht more than expected).

Fields of papers citing papers by Michael Pecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Pecht. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Pecht. The network helps show where Michael Pecht may publish in the future.

Co-authorship network of co-authors of Michael Pecht

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pecht. A scholar is included among the top collaborators of Michael Pecht based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Pecht. Michael Pecht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xie, Hua, et al.. (2025). Reliability analysis for multi-component system considering failure propagation and dependent competing failure process. Reliability Engineering & System Safety. 259. 110930–110930. 3 indexed citations
2.
She, Daoming, et al.. (2025). A meta-transfer learning prediction method with few-shot data for the remaining useful life of rolling bearing. Structural Health Monitoring. 1 indexed citations
3.
Peng, Simin, et al.. (2024). SOH early prediction of lithium-ion batteries based on voltage interval selection and features fusion. Energy. 308. 132993–132993. 49 indexed citations
4.
Peng, Simin, et al.. (2024). Prediction of wind and PV power by fusing the multi-stage feature extraction and a PSO-BiLSTM model. Energy. 298. 131345–131345. 63 indexed citations
5.
Akula, Aparna, et al.. (2024). Predictive analytics for prolonging lithium-ion battery lifespan through informed storage conditions. Energy. 308. 133052–133052. 3 indexed citations
6.
Kong, Lingxi, et al.. (2024). Safety Analysis of Lithium-Ion Cylindrical Batteries Using Design and Process Failure Mode and Effect Analysis. Batteries. 10(3). 76–76. 15 indexed citations
7.
Woo, Seongwoo, Dennis L. O’Neal, & Michael Pecht. (2023). Improving the lifetime of mechanical systems during transit established on quantum/transport life-stress prototype and sample size. Mechanical Systems and Signal Processing. 193. 110222–110222. 3 indexed citations
8.
Patil, Rajkumar Bhimgonda, et al.. (2023). Assessment of the FIDES Guide 2022 electrical, electronic, and electromechanical reliability prediction methodology. SHILAP Revista de lepidopterología. 6. 100353–100353. 2 indexed citations
9.
Li, Junfu, et al.. (2023). A novel method of discharge capacity prediction based on simplified electrochemical model-aging mechanism for lithium-ion batteries. Journal of Energy Storage. 61. 106788–106788. 43 indexed citations
10.
Wang, Huai, et al.. (2023). FEPPCON XI – Part II: Reliability of Power Electronic Systems. IEEE Power Electronics Magazine. 10(1). 48–51. 1 indexed citations
11.
Cheng, Chun, Wenyi Liu, Weiping Wang, & Michael Pecht. (2021). A novel deep neural network based on an unsupervised feature learning method for rotating machinery fault diagnosis. Measurement Science and Technology. 32(9). 95013–95013. 14 indexed citations
12.
Jia, Zhen, et al.. (2020). A Deep Forest-Based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems. IEEE Transactions on Industrial Electronics. 68(10). 10087–10096. 49 indexed citations
13.
Shu, Lei, Mithun Mukherjee, Michael Pecht, Noël Crespi, & Son N. Han. (2017). Challenges and Research Issues of Data Management in IoT for Large-Scale Petrochemical Plants. IEEE Systems Journal. 12(3). 2509–2523. 50 indexed citations
14.
15.
Leng, Feng, Cher Ming Tan, & Michael Pecht. (2015). Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature. Scientific Reports. 5(1). 12967–12967. 446 indexed citations breakdown →
16.
Tian, Jing, Michael H. Azarian, & Michael Pecht. (2014). Anomaly Detection Using Self-Organizing Maps-Based K-Nearest Neighbor Algorithm. PHM Society European Conference. 2(1). 101 indexed citations
17.
Pecht, Michael, et al.. (2011). Rare Earth Material: Insights and Concerns. Acta Psychiatrica Scandinavica. 112(5). 330–50. 2 indexed citations
18.
Gu, Jie, et al.. (2010). Application of Grey Prediction Model for Failure Prognostics of Electronics. International Journal of Performability Engineering. 6(5). 435. 12 indexed citations
19.
Cheng, Shunfeng & Michael Pecht. (2007). Multivariate State Estimation Technique for Remaining Useful Life Prediction of Electronic Products.. National Conference on Artificial Intelligence. 26–32. 30 indexed citations
20.
Hakim, Edward B., et al.. (1994). The demise of plastic encapsulated microcircuit myths. In AGARD. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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