Standout Papers

Deep Residual Shrinkage Networks for Fault Di... 2011 2026 2016 2021 868
  1. Deep Residual Shrinkage Networks for Fault Diagnosis (2019)
    Minghang Zhao, Shisheng Zhong et al. IEEE Transactions on Industrial Informatics
  2. Battery Lifetime Prognostics (2020)
    Xiao Hu, Le Xu et al. Joule
  3. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries (2018)
    Yongzhi Zhang, Rui Xiong et al. IEEE Transactions on Vehicular Technology
  4. Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method (2011)
    Wei He, Nicholas Williard et al. Journal of Power Sources
  5. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures (2013)
    Yinjiao Xing, Wei He et al. Applied Energy
  6. Light emitting diodes reliability review (2011)
    Moon‐Hwan Chang, Diganta Das et al. Microelectronics Reliability
  7. An ensemble model for predicting the remaining useful performance of lithium-ion batteries (2013)
    Yinjiao Xing, Kwok‐Leung Tsui et al. Microelectronics Reliability
  8. Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process (2012)
    Xiaosheng Si, Wenbin Wang et al. IEEE Transactions on Reliability
  9. A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors (2018)
    Changfu Zou, Lei Zhang et al. Journal of Power Sources
  10. Machine learning pipeline for battery state-of-health estimation (2021)
    Darius Roman, Saurabh Saxena et al. Nature Machine Intelligence
  11. Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis (2015)
    Jing Tian, Carlos Morillo et al. IEEE Transactions on Industrial Electronics
  12. A review of lead-free solders for electronics applications (2017)
    Shunfeng Cheng, Chien‐Ming Huang et al. Microelectronics Reliability
  13. State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation (2014)
    Wei He, Nicholas Williard et al. International Journal of Electrical Power & Energy Systems
  14. Remaining useful life prediction of lithium-ion battery with unscented particle filter technique (2012)
    Qiang Miao, Lei Xie et al. Microelectronics Reliability
  15. Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression (2013)
    Datong Liu, Jingyue Pang et al. Microelectronics Reliability
  16. Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis (2013)
    Xiaohang Jin, Mingbo Zhao et al. IEEE Transactions on Industrial Electronics
  17. Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes (2017)
    Minghang Zhao, Myeongsu Kang et al. IEEE Transactions on Industrial Electronics
  18. Mitigation strategies for Li-ion battery thermal runaway: A review (2021)
    Bin Xu, Daeil Kwon et al. Renewable and Sustainable Energy Reviews
  19. Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications (2023)
    Quanqing Yu, Jianming Li et al. eTransportation
  20. Small data challenges for intelligent prognostics and health management: a review (2024)
    Chuanjiang Li, Shaobo Li et al. Artificial Intelligence Review

Immediate Impact

3 by Nobel laureates 9 from Science/Nature 110 standout
Sub-graph 1 of 18

Citing Papers

Biopolymer‐Based Flame Retardants and Flame‐Retardant Materials
2025 Standout
Challenges and opportunities for high-quality battery production at scale
2025 Standout

Works of Michael Pecht being referenced

Electrolyte Leakage in Cylindrical Lithium-Ion Batteries Subjected to Temperature Cycling
2024
A failure modes, mechanisms, and effects analysis (FMMEA) of lithium-ion batteries
2015
and 5 more

Author Peers

Author Last Decade Papers Cites
Michael Pecht 17454 5442 13367 7930 801 30.6k
Richard D. Braatz 6289 2148 4573 5902 437 19.9k
Kwok‐Leung Tsui 3866 2400 4103 4364 419 15.9k
Enrico Zio 4912 3874 1408 9306 1.1k 30.0k
Zhe Chen 21569 1816 1680 12644 1.7k 30.5k
Liang Gao 3089 4809 2557 5562 878 30.4k
Dong Wang 2725 5356 2003 7235 523 13.1k
Minggao Ouyang 33346 2164 32233 3556 511 38.7k
Ming J. Zuo 2408 8001 762 8620 399 21.2k
Jay Lee 1958 3593 1479 6119 278 17.3k
Lihui Wang 2671 4626 1523 3738 780 25.8k

All Works

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Rankless by CCL
2026