Michael Gerard Pecht

1.1k papers receiving 42.3k citations

Michael Gerard Pecht's Hit Papers

Small data challenges for intelligent prognostics and health management: a review 2024 · 84 citations
840+3+7Years since publication2505007501000

Peers

Michael Gerard Pecht
Comparison fields: 5 of 149
  • Automotive Engineering 14.2k
  • Safety, Risk, Reliability and Quality 5.1k
  • Control and Systems Engineering 5.3k
  • Electrical and Electronic Engineering 6.7k
  • Energy Engineering and Power Technology 113
Replace Enrico Zio with:
Enrico Zio Italy
Alois Knoll Germany
Saeid Nahavandi Australia
Dong Wang China
Carlos A. Coello Coello Mexico
Andrew Lewis Australia
Aini Hussain Malaysia
Liang Gao China
Zhao Yang Dong Australia
Zhe Chen China
Michael Gerard Pecht relative to Enrico Zio Italy Enrico Zio's profile →
Citations per field
00.5×5×10×15×21.8×
Enrico Zio · 1×
Citations per year

Countries citing papers authored by Michael Gerard Pecht

Since Specialization
Citations

This map shows the geographic impact of Michael Gerard 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 Gerard 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 Gerard Pecht more than expected).

Fields of papers citing papers by Michael Gerard Pecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Gerard 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 Gerard Pecht. The network helps show where Michael Gerard Pecht may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Gerard 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 Gerard Pecht Line = papers co-authored together Michael Gerard 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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20191122
2
Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
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20181052
3
Battery Lifetime Prognostics
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20201049
4
Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
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2011910
5
State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
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2013814
6
Prognostics and Health Management of Electronics
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2008690
7
Light emitting diodes reliability review
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2011659
8
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
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2013572
9
Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process
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2012541
10
Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature
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2015494
11
Machine learning pipeline for battery state-of-health estimation
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2021485
12
Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries
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2016479
13
State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
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2014460
14
A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors
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2018447
15
Remaining useful life prediction of lithium-ion battery with unscented particle filter technique
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2012427
16
Battery Management Systems in Electric and Hybrid Vehicles
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2011426
17
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K -Nearest Neighbor Distance Analysis
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2015423
18
A review of lead-free solders for electronics applications
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2017420
19 2013400
20 2018382

About Michael Gerard Pecht

Michael Gerard Pecht is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 1.1k papers that have together received 44.1k indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (244 papers), Reliability and Maintenance Optimization (208 papers), Advanced Battery Technologies Research (160 papers), Machine Fault Diagnosis Techniques (69 papers), Electrical Contact Performance and Analysis (17 papers), Fault Detection and Control Systems (12 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers) and Silicon Carbide Semiconductor Technologies (8 papers). The work is most often cited by research in Automotive Engineering (14.2k citations), Safety, Risk, Reliability and Quality (5.1k citations), Control and Systems Engineering (5.3k citations), Electrical and Electronic Engineering (6.7k citations) and Energy Engineering and Power Technology (113 citations). Michael Gerard Pecht has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Michael D. Osterman, Yinjiao Xing, Nicholas Williard, Michael H. Azarian, Kwok‐Leung Tsui, Rui Xiong, Hongwen He, Yongzhi Zhang, Diganta Das and Baoping Tang. 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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