Leaderboards/Reliability and Maintenance Optimization

Reliability and Maintenance Optimization

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Jiusi Zhang
University of Electronic Science and Technology of China
2
Mounia Achouch
Université du Québec à Rimouski
3
Chuang Chen
Nanjing University of Posts and Telecommunications
4
Daoquan Chen
Zhejiang Institute of Mechanical and Electrical Engineering
5
Yupeng Wei
San Jose State University
6
Brahim Zraibi
Université Hassan 1er
7
Xing Shu
Chongqing University of Technology
8
Juseong Lee
University of Oxford
9
Shaheer Ansari
Sunway University
10
Sadiqa Jafari
Jeju National University

Rising Stars Papers

1
Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
Reliability Engineering & System Safety|2024
137 cit.
2
AttMoE: Attention with Mixture of Experts for remaining useful life prediction of lithium-ion batteries
Journal of Energy Storage|2024
81 cit.
3
Process monitoring for tower pumping units under variable operational conditions: From an integrated multitasking perspective
Control Engineering Practice|2025
70 cit.
4
Optimized XGBoost modeling for accurate battery capacity degradation prediction
Results in Engineering|2024
66 cit.
5
Unveiling the impacts of climate change on the resilience of renewable energy and power systems: Factors, technological advancements, policies, challenges, and solutions
Journal of Cleaner Production|2025
63 cit.
6
A comparative investigation on the energy flow of pure battery electric vehicle under different driving conditions
Applied Thermal Engineering|2025
63 cit.
7
Efficient state of charge estimation in electric vehicles batteries based on the extra tree regressor: A data-driven approach
Heliyon|2024
49 cit.
8
Expert deep learning techniques for remaining useful life prediction of diverse energy storage Systems: Recent Advances, execution Features, issues and future outlooks
Expert Systems with Applications|2024
27 cit.
9
State of health estimation for lithium-ion batteries based on voltage segment and transformer
Journal of Energy Storage|2024
27 cit.
10
Performance and energy-consumption evaluation of fuel-cell hybrid heavy-duty truck based on energy flow and thermal-management characteristics experiment under different driving conditions
Energy Conversion and Management|2024
26 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Qingan Qiu
Beijing Institute of Technology
2
Symone Gomes Soares Alcalá
Universidade Federal de Goiás
3
Guijun Ma
Huazhong University of Science and Technology
4
Mihaela Mitici
Utrecht University
5
Xiaosong Hu
Chongqing University
6
Xiujie Zhao
City University of Hong Kong
7
Shuaiyong Li
Chongqing University of Posts and Telecommunications
8
Peter A. Turner
North Dakota State University
9
Olga Fink
International Institute for Management Development
10
Mohammad Khalilzadeh
Pontificia Universidad Católica del Perú

Emerging Leaders Papers

1
Fusing physics-based and deep learning models for prognostics
Repository for Publications and Research Data (ETH Zurich)|2022
349 cit.
2
Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
Energy & Environmental Science|2022
247 cit.
3
Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics
Reliability Engineering & System Safety|2022
199 cit.
4
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries
IEEE Transactions on Neural Networks and Learning Systems|2022
149 cit.
5
Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics
Reliability Engineering & System Safety|2022
143 cit.
6
Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines
Reliability Engineering & System Safety|2023
128 cit.
7
Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series
Proceedings of the National Academy of Sciences|2022
118 cit.
8
Optimal Condition-Based Mission Abort Decisions
IEEE Transactions on Reliability|2022
118 cit.
9
Mission risk control via joint optimization of sampling and abort decisions
Risk Analysis|2023
106 cit.
10
Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder
Engineering Applications of Artificial Intelligence|2022
104 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Michael Pecht
Life Cycle Engineering (United States)
2
Ross L. Prentice
Fred Hutch Cancer Center
3
Enrico Zio
École Nationale Supérieure des Mines de Paris
4
Kishor S. Trivedi
Duke University
5
Min Xie
City University of Hong Kong
6
David W. Coit
Rutgers Sexual and Reproductive Health and Rights
7
Ming J. Zuo
Fuzhou University
8
Hoang Pham
Rutgers, The State University of New Jersey
9
N. Balakrishnan
Atilim University
10
Christophe Bérenguer
Université de Technologie de Troyes

Current Senior Leaders Papers

1
The Statistical Analysis of Failure Time Data.
Biometrics|1981
10k cit.
2
Probability and Statistics With Reliability, Queuing, and Computer Science Applications.
Journal of the American Statistical Association|1983
2.6k cit.
3
Surrogate endpoints in clinical trials: Definition and operational criteria
Statistics in Medicine|1989
2k cit.
4
The Analysis of Failure Times in the Presence of Competing Risks
Biometrics|1978
1.5k cit.
5
A case-cohort design for epidemiologic cohort studies and disease prevention trials
Biometrika|1986
1.4k cit.
6
Deep Residual Shrinkage Networks for Fault Diagnosis
IEEE Transactions on Industrial Informatics|2019
1.4k cit.
7
Regression Analysis of Grouped Survival Data with Application to Breast Cancer Data
Biometrics|1978
1.3k cit.
8
On the regression analysis of multivariate failure time data
Biometrika|1981
1.3k cit.
9
Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
IEEE Transactions on Vehicular Technology|2018
1.3k cit.
10
Genetic Algorithms and Engineering Design
The Engineering Economist|1998
1.2k cit.

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