Michael Pecht

53.5k citations
1.1k papers · 42.5k · 30 hit papers · h-index 95

Impact in

Papers in

Michael Pecht

1.1k papers receiving 40.9k citations

Michael Pecht's Hit Papers

Small data challenges for intelligent prognostics and health management: a review 2024 · 69 citations
690+3+6Years since publication2505007501000

Peers

Michael Pecht
Comparison fields: 5 of 189
  • Automotive Engineering 16.6k
  • Safety, Risk, Reliability and Quality 7.6k
  • Control and Systems Engineering 11.2k
  • Electrical and Electronic Engineering 22.8k
  • Medical Laboratory Technology 509
Replace Enrico Zio with:
Enrico Zio Italy
Jay Lee United States
Dong Wang China
Ming J. Zuo Canada
Liang Gao China
Saeid Nahavandi Australia
David W. Coit United States
Robert X. Gao United States
Jun Ni United States
Zhe Chen China
Michael Pecht relative to Enrico Zio Italy Enrico Zio's profile →
Citations per field
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Enrico Zio · 1×
Citations per year

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-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.

Border = papers with Michael Pecht Line = papers co-authored together Michael Pecht links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 1.1k papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Residual Shrinkage Networks for Fault Diagnosis
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20191045
2
Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
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20181005
3
Battery Lifetime Prognostics
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2020965
4
Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
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2011863
5
State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
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2013777
6
Prognostics and Health Management of Electronics
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2008686
7
Light emitting diodes reliability review
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2011647
8
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
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2013545
9
Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process
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2012516
10
Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature
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2015472
11
Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries
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2016453
12
Machine learning pipeline for battery state-of-health estimation
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2021446
13
State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
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2014441
14
A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors
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2018428
15
Remaining useful life prediction of lithium-ion battery with unscented particle filter technique
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2012426
16
Battery Management Systems in Electric and Hybrid Vehicles
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2011419
17
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis
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2015415
18
A review of lead-free solders for electronics applications
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2017402
19
Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression
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2013391
20
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis
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2013377

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 1.1k papers that have together received 42.5k indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (259 papers), Advanced Battery Technologies Research (197 papers), Reliability and Maintenance Optimization (143 papers), Advancements in Battery Materials (126 papers), Integrated Circuits and Semiconductor Failure Analysis (110 papers), 3D IC and TSV technologies (106 papers), Fault Detection and Control Systems (104 papers) and Machine Fault Diagnosis Techniques (90 papers). The work is most often cited by research in Automotive Engineering (16.6k citations), Safety, Risk, Reliability and Quality (7.6k citations), Control and Systems Engineering (11.2k citations), Electrical and Electronic Engineering (22.8k citations) and Medical Laboratory Technology (509 citations). Michael Pecht has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Michael Osterman, Yinjiao Xing, Michael H. Azarian, Nicholas Williard, Kwok‐Leung Tsui, Rui Xiong, Yongzhi Zhang, Hongwen He, 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.

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