Most cited papers in Reliability and Maintenance Optimization
What are the most cited papers in Reliability and Maintenance Optimization?
The most cited paper in Reliability and Maintenance Optimization is "Reciprocally convex approach to stability of systems with time-varying delays" (PooGyeon Park, Jeong Wan Ko, Changki Jeong, 2010), with 2,680 citations. Next come "Machinery health prognostics: A systematic review from data acquisition to RUL prediction" (2,574) and "Statistical Methods for Reliability Data" (2,520).
Showing 50 of 99 papers. Every paper with more than 544 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Reciprocally convex approach to stability of systems with time-varying delays PooGyeon Park, Jeong Wan Ko, Changki Jeong · Automatica | 21 Nov 2010 | 2,680 |
| 2 | Machinery health prognostics: A systematic review from data acquisition to RUL prediction Yaguo Lei, Naipeng Li, Liang Guo et al. · Mechanical Systems and Signal Processing | Dec 2017 | 2,574 |
| 3 | Statistical Methods for Reliability Data Wayne B. Nelson · Technometrics | Aug 1998 | 2,520 |
| 4 | Aleatory or epistemic? Does it matter? Armen Der Kiureghian, Ove Ditlevsen · Structural Safety | 4 Aug 2008 | 2,462 |
| 5 | Remaining useful life estimation – A review on the statistical data driven approaches Xiaosheng Si, Wenbin Wang, Chang-Hua Hu et al. · European Journal of Operational Research | 25 Nov 2010 | 2,125 |
| 6 | Quantitative models for reverse logistics: A review Moritz Fleischmann, Jacqueline M. Bloemhof‐Ruwaard, Rommert Dekker et al. · European Journal of Operational Research | Nov 1997 | 1,906 |
| 7 | A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings Biao Wang, Yaguo Lei, Naipeng Li et al. · IEEE Transactions on Reliability | 14 Dec 2018 | 1,903 |
| 8 | Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures Amrit L. Goel, Kazu Okumoto · IEEE Transactions on Reliability | Aug 1979 | 1,852 |
| 9 | A review on lithium-ion battery ageing mechanisms and estimations for automotive applications Anthony Barré, Benjamin Deguilhem, Sébastien Grolleau et al. · Journal of Power Sources | 7 Jun 2013 | 1,741 |
| 10 | Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries Kong Soon Ng, Chin‐Sien Moo, Yiping Chen et al. · Applied Energy | 9 Jan 2009 | 1,636 |
| 11 | A Multivariate Exponential Distribution Albert W. Marshall, Ingram Olkin · Journal of the American Statistical Association | Mar 1967 | 1,612 |
| 12 | A systematic literature review of machine learning methods applied to predictive maintenance Thyago Peres Carvalho, Fabrizzio Alphonsus Alves de Melo Nunes Soares, Roberto Oliveira Vita et al. · Computers & Industrial Engineering | 5 Sep 2019 | 1,544 |
| 13 | Radiation-induced soft errors in advanced semiconductor technologies R. Baumann · IEEE Transactions on Device and Materials Reliability | Sep 2005 | 1,466 |
| 14 | Analytical redundancy and the design of robust failure detection systems Elaine Chow, A. S. Willsky · IEEE Transactions on Automatic Control | Jul 1984 | 1,426 |
| 15 | A survey of the application of gamma processes in maintenance Jan M. van Noortwijk · Reliability Engineering & System Safety | 24 Mar 2007 | 1,351 |
| 16 | Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries Yongzhi Zhang, Rui Xiong, Hongwen He et al. · IEEE Transactions on Vehicular Technology | 12 Feb 2018 | 1,324 |
| 17 | Battery Lifetime Prognostics Xiaosong Hu, Le Xu, Xianke Lin et al. · Joule | 8 Jan 2020 | 1,297 |
| 18 | Rotating machinery prognostics: State of the art, challenges and opportunities Aiwina Heng, Sheng Zhang, Andy C.C. Tan et al. · Mechanical Systems and Signal Processing | 2 Jul 2008 | 1,207 |
| 19 | Exponentiated Weibull family for analyzing bathtub failure-rate data G. S. Mudholkar, Divesh Srivastava · IEEE Transactions on Reliability | Jun 1993 | 1,202 |
| 20 | Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review Yi Li, Kailong Liu, Aoife M Foley et al. · Renewable and Sustainable Energy Reviews | 12 Jul 2019 | 1,187 |
| 21 | Probability and Random Processes for Electrical Engineering Stefan D. Leigh · Technometrics | Aug 1991 | 1,172 |
| 22 | Theory & Methods: Generalized exponential distributions Rameshwar D. Gupta, Debasis Kundu · Australian & New Zealand Journal of Statistics | Jun 1999 | 1,108 |
| 23 | A new method for generating families of continuous distributions Ayman Alzaatreh, Carl Lee, Felix Famoye · METRON | 9 Apr 2013 | 1,104 |
| 24 | Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method Wei He, Nicholas Williard, Michael D. Osterman et al. · Journal of Power Sources | 14 Aug 2011 | 1,092 |
| 25 | Using Degradation Measures to Estimate a Time-to-Failure Distribution C. Joseph Lu, William O. Meeker · Technometrics | May 1993 | 1,046 |
| 26 | Failure Mode and Effect Analysis: FMEA From Theory to Execution Helmut Schneider · Technometrics | Feb 1996 | 1,013 |
| 27 | Radiation-Induced Soft Errors in Advanced Semiconductor Technologies Robert Baumann · IEEE Transactions on Device and Materials Reliability | 2005 | 975 |
| 28 | An overview of time-based and condition-based maintenance in industrial application Rosmaini Ahmad, Shahrul Kamaruddin · Computers & Industrial Engineering | 18 Feb 2012 | 973 |
| 29 | Applications of maintenance optimization models: a review and analysis Rommert Dekker · Reliability Engineering & System Safety | Mar 1996 | 971 |
| 30 | Risk evaluation approaches in failure mode and effects analysis: A literature review Hu‐Chen Liu, Long Liu, Nan Liu · Expert Systems with Applications | 27 Aug 2012 | 960 |
| 31 | Long Short-Term Memory Network for Remaining Useful Life estimation Shuai Zheng, Kosta Ristovski, Ahmed Farahat et al. | Jun 2017 | 885 |
| 32 | Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics Chong Zhang, Pin Lim, A. Kai Qin et al. · IEEE Transactions on Neural Networks and Learning Systems | 11 Jul 2016 | 877 |
| 33 | Reliability engineering: Old problems and new challenges Enrico Zio · Reliability Engineering & System Safety | 15 Jun 2008 | 876 |
| 34 | S-Shaped Reliability Growth Modeling for Software Error Detection Shigeru Yamada, Mitsuru Ohba, Shunji Osaki · IEEE Transactions on Reliability | Dec 1983 | 868 |
| 35 | Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools Enno Ruijters, Mariëlle I. A. Stoelinga · Computer Science Review | Feb 2015 | 850 |
| 36 | Some results for repairable systems with general repair Masaaki Kijima · Journal of Applied Probability | Mar 1989 | 844 |
| 37 | Lindley distribution and its application Mohamed E. Ghitany, B. Atieh, Saralees Nadarajah · Mathematics and Computers in Simulation | 11 Jul 2007 | 837 |
| 38 | Soft Errors in Advanced Computer Systems R. Baumann · IEEE Design & Test of Computers | May 2005 | 834 |
| 39 | Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework Bhaskar Prasad Saha, Kai Goebel, Scott D. Poll et al. · IEEE Transactions on Instrumentation and Measurement | 22 Oct 2008 | 828 |
| 40 | State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review Dickson N. T. How, M. A. Hannan, Molla Shahadat Hossain Lipu et al. · IEEE Access | 2019 | 806 |
| 41 | A review on condition-based maintenance optimization models for stochastically deteriorating system Suzan Alaswad, Yisha Xiang · Reliability Engineering & System Safety | 23 Aug 2016 | 796 |
| 42 | Remaining useful life estimation of engineered systems using vanilla LSTM neural networks Yuting Wu, Mei Ni Yuan, Shaopeng Dong et al. · Neurocomputing | Jun 2017 | 793 |
| 43 | Residual-life distributions from component degradation signals: A Bayesian approach Nagi Gebraeel, Mark Lawley, Rong Li et al. · IIE Transactions | Jun 2005 | 793 |
| 44 | Orthogonal defect classification-a concept for in-process measurements Ram Chillarege, I.S. Bhandari, Jarir K. Chaar et al. · IEEE Transactions on Software Engineering | 1992 | 791 |
| 45 | A review on prognostics and health monitoring of Li-ion battery Jingliang Zhang, Jay K. Lee · Journal of Power Sources | 30 Apr 2011 | 787 |
| 46 | Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas Philippe Weber, Gabriela Medina-Oliva, Christophe Simon et al. · Engineering Applications of Artificial Intelligence | 17 Jul 2010 | 785 |
| 47 | How to Identify a Bathtub Hazard Rate Magne Vollan Aarset · IEEE Transactions on Reliability | Apr 1987 | 778 |
| 48 | A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve Duo Yang, Xu Zhang, Rui Na Pan et al. · Journal of Power Sources | 23 Mar 2018 | 765 |
| 49 | Reliability optimization of series-parallel systems using a genetic algorithm David W. Coit, Alice E. Smith · IEEE Transactions on Reliability | Jun 1996 | 762 |
| 50 | A survey of preventive maintenance models for stochastically deteriorating single-unit systems Ciriaco Valdez‐Flores, Richard M. Feldman · Naval Research Logistics (NRL) | Aug 1989 | 754 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.