Michael Pecht
Impact in
- Automotive Engineering top 0.01%
- Advanced Battery Technologies Research
- Safety, Risk, Reliability and Quality top 0.01%
- Reliability and Maintenance Optimization
Papers in
-
- Electronic Packaging and Soldering Technologies 244
- Advancements in Battery Materials 126
- 3D IC and TSV technologies 99
- Integrated Circuits and Semiconductor Failure Analysis 96
- Co-authors
- Yinjiao Xing (20 shared papers)Michael Osterman (94 shared papers)Nicholas Williard (15 shared papers)Michael H. Azarian (99 shared papers)Kwok‐Leung Tsui (11 shared papers)Rui Xiong (11 shared papers)Hongwen He (7 shared papers)Yongzhi Zhang (7 shared papers)
- Journals
- Microelectronics Reliability (71 papers)IEEE Transactions on Components and Packaging Technologies (52 papers)IEEE Access (48 papers)IEEE Transactions on Device and Materials Reliability (40 papers)IEEE Transactions on Reliability (27 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Michael Pecht
1.0k papers receiving 39.2k citations
Michael Pecht's Hit Papers
Peers
Comparison fields: 5 of 186
- Automotive Engineering 16.2k
- Safety, Risk, Reliability and Quality 7.3k
- Control and Systems Engineering 10.7k
- Electrical and Electronic Engineering 21.9k
- Medical Laboratory Technology 439
Countries citing papers authored by Michael Pecht
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
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-authors
The 25 scholars most cited alongside Michael Pecht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 1.0k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Residual Shrinkage Networks for Fault Diagnosis Hit paper breakdown → | 2019 | 1033 |
| 2 | Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries Hit paper breakdown → | 2018 | 989 |
| 3 | Battery Lifetime Prognostics Hit paper breakdown → | 2020 | 953 |
| 4 | Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method Hit paper breakdown → | 2011 | 847 |
| 5 | State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures Hit paper breakdown → | 2013 | 764 |
| 6 | Prognostics and Health Management of Electronics Hit paper breakdown → | 2008 | 633 |
| 7 | Light emitting diodes reliability review Hit paper breakdown → | 2011 | 612 |
| 8 | An ensemble model for predicting the remaining useful performance of lithium-ion batteries Hit paper breakdown → | 2013 | 538 |
| 9 | Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process Hit paper breakdown → | 2012 | 494 |
| 10 | Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature Hit paper breakdown → | 2015 | 462 |
| 11 | Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries Hit paper breakdown → | 2016 | 446 |
| 12 | Machine learning pipeline for battery state-of-health estimation Hit paper breakdown → | 2021 | 443 |
| 13 | State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation Hit paper breakdown → | 2014 | 431 |
| 14 | A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors Hit paper breakdown → | 2018 | 426 |
| 15 | Remaining useful life prediction of lithium-ion battery with unscented particle filter technique Hit paper breakdown → | 2012 | 413 |
| 16 | Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis Hit paper breakdown → | 2015 | 407 |
| 17 | 2011 | 398 | |
| 18 | A review of lead-free solders for electronics applications Hit paper breakdown → | 2017 | 396 |
| 19 | Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression Hit paper breakdown → | 2013 | 385 |
| 20 | Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis Hit paper breakdown → | 2013 | 362 |
About Michael Pecht
Michael Pecht is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Automotive Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 1.0k papers that have together received 40.5k indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (244 papers), Advanced Battery Technologies Research (195 papers), Reliability and Maintenance Optimization (135 papers), Advancements in Battery Materials (126 papers), 3D IC and TSV technologies (99 papers), Fault Detection and Control Systems (99 papers), Integrated Circuits and Semiconductor Failure Analysis (96 papers) and Machine Fault Diagnosis Techniques (88 papers). The work is most often cited by research in Automotive Engineering (16.2k citations), Safety, Risk, Reliability and Quality (7.3k citations), Control and Systems Engineering (10.7k citations), Electrical and Electronic Engineering (21.9k citations) and Medical Laboratory Technology (439 citations). Michael Pecht has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yinjiao Xing, Michael Osterman, Nicholas Williard, Michael H. Azarian, Kwok‐Leung Tsui, Rui Xiong, Hongwen He, Yongzhi Zhang, Diganta Das and Wei He. Their work appears in journals such as Microelectronics Reliability, IEEE Transactions on Components and Packaging Technologies, IEEE Access, IEEE Transactions on Device and Materials Reliability and IEEE Transactions on Reliability.
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.