Ershun Pan

4.5k total citations · 2 hit papers
185 papers, 3.4k citations indexed

About

Ershun Pan is a scholar working on Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Ershun Pan has authored 185 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Safety, Risk, Reliability and Quality, 50 papers in Industrial and Manufacturing Engineering and 49 papers in Control and Systems Engineering. Recurrent topics in Ershun Pan's work include Reliability and Maintenance Optimization (81 papers), Machine Fault Diagnosis Techniques (30 papers) and Fault Detection and Control Systems (22 papers). Ershun Pan is often cited by papers focused on Reliability and Maintenance Optimization (81 papers), Machine Fault Diagnosis Techniques (30 papers) and Fault Detection and Control Systems (22 papers). Ershun Pan collaborates with scholars based in China, United States and Singapore. Ershun Pan's co-authors include Tangbin Xia, Lifeng Xi, Zhen Chen, Dong Wang, Wenzhu Liao, Shichang Du, Lei Xiao, Meimei Zheng, Enrico Zio and Di Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Power Sources.

In The Last Decade

Ershun Pan

169 papers receiving 3.3k citations

Hit Papers

Recent advances in prognostics and health management for ... 2018 2026 2020 2023 2018 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ershun Pan China 29 1.3k 1.0k 911 611 415 185 3.4k
Tangbin Xia China 35 1.3k 1.0× 1.4k 1.3× 783 0.9× 420 0.7× 653 1.6× 174 3.4k
Lifeng Xi China 41 1.9k 1.4× 1.8k 1.8× 1.9k 2.0× 715 1.2× 1.1k 2.7× 229 5.7k
Haitao Liao United States 35 2.6k 1.9× 1.2k 1.1× 411 0.5× 1.1k 1.8× 556 1.3× 198 4.8k
Viliam Makiš Canada 37 1.9k 1.5× 1.3k 1.2× 285 0.3× 907 1.5× 670 1.6× 123 3.4k
Tongdan Jin United States 30 1.1k 0.8× 636 0.6× 290 0.3× 622 1.0× 150 0.4× 145 2.7k
Dragan Banjević Canada 27 2.4k 1.9× 2.7k 2.5× 568 0.6× 876 1.4× 1.3k 3.0× 79 5.4k
Nagi Gebraeel United States 35 2.7k 2.0× 2.3k 2.2× 394 0.4× 801 1.3× 816 2.0× 85 4.6k
Diego Galar Sweden 23 444 0.3× 794 0.8× 499 0.5× 210 0.3× 573 1.4× 152 2.5k
Christophe Bérenguer France 37 3.5k 2.7× 798 0.8× 216 0.2× 1.5k 2.4× 252 0.6× 132 4.5k
Chi-Guhn Lee Canada 26 375 0.3× 660 0.6× 468 0.5× 159 0.3× 308 0.7× 87 2.2k

Countries citing papers authored by Ershun Pan

Since Specialization
Citations

This map shows the geographic impact of Ershun Pan'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 Ershun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ershun Pan more than expected).

Fields of papers citing papers by Ershun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ershun Pan. 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 Ershun Pan. The network helps show where Ershun Pan may publish in the future.

Co-authorship network of co-authors of Ershun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Ershun Pan. A scholar is included among the top collaborators of Ershun Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ershun Pan. Ershun Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Di, et al.. (2025). Dynamic reliability evaluation considering the stochastic evolving process based on extreme characteristics of system responses. Reliability Engineering & System Safety. 260. 111005–111005.
2.
Wei, Wu, et al.. (2025). Battery health prognosis in data-deficient practical scenarios via reconstructed voltage-based machine learning. Cell Reports Physical Science. 6(2). 102442–102442. 2 indexed citations
3.
Xia, Tangbin, Yimin Jiang, Yiping Shao, et al.. (2024). Remaining useful life estimation based on selective ensemble of deep neural networks with diversity. Advanced Engineering Informatics. 62. 102608–102608. 8 indexed citations
4.
Chen, Zhen, et al.. (2024). A hybrid battery degradation model combining arrhenius equation and neural network for capacity prediction under time-varying operating conditions. Reliability Engineering & System Safety. 252. 110471–110471. 12 indexed citations
5.
Chen, Zhaoxiang, Zhen Chen, Di Zhou, & Ershun Pan. (2024). Joint optimization of opportunistic maintenance and speed control for continuous process manufacturing systems considering stochastic imperfect maintenance. Computers & Industrial Engineering. 198. 110685–110685. 2 indexed citations
6.
Wang, Qingwei, et al.. (2024). Optimal product and after-sales service decisions considering risk attitudes under price-dependent uncertain demand. Transportation Research Part E Logistics and Transportation Review. 182. 103393–103393. 7 indexed citations
7.
Chen, Zhen, et al.. (2024). Integrated optimization for X-bar control chart, preventive maintenance and production rate. Reliability Engineering & System Safety. 253. 110498–110498. 5 indexed citations
8.
Chen, Zhen, et al.. (2024). Correlation based-graph neural network for health prognosis of non-fully charged and discharged lithium-ion batteries. Journal of Power Sources. 629. 235984–235984. 2 indexed citations
9.
Xu, Yuhui, Tangbin Xia, Yimin Jiang, et al.. (2024). A temporal partial domain adaptation network for transferable prognostics across working conditions with insufficient data. Reliability Engineering & System Safety. 250. 110273–110273. 9 indexed citations
10.
Wei, Yujie, Zhen Chen, Zhi‐Sheng Ye, & Ershun Pan. (2024). High-dimensional process monitoring under time-varying operating conditions via covariate-regulated principal component analysis. Reliability Engineering & System Safety. 252. 110440–110440. 2 indexed citations
11.
Xia, Tangbin, et al.. (2024). Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection. Advanced Engineering Informatics. 59. 102342–102342. 8 indexed citations
12.
Yang, Lin, Zirong Wang, Zhen Chen, & Ershun Pan. (2024). A Physics-Based Tweedie Exponential Dispersion Process Model for Metal Fatigue Crack Propagation and Prognostics. Processes. 12(5). 849–849. 1 indexed citations
14.
Xia, Tangbin, et al.. (2023). Resource allocation and maintenance scheduling for distributed multi-center renewable energy systems considering dynamic scope division. Renewable Energy. 217. 119219–119219. 8 indexed citations
15.
Wang, Qingwei, Meimei Zheng, & Ershun Pan. (2023). Optimal service decisions and channel coordination analysis with after‐sales service and quality consideration. International Transactions in Operational Research. 32(2). 1146–1183.
16.
Zheng, Meimei, et al.. (2023). Joint condition-based maintenance and spare provisioning policy for a K-out-of-N system with failures during inspection intervals. European Journal of Operational Research. 308(3). 1220–1232. 27 indexed citations
17.
Jiang, Yimin, et al.. (2023). A Spatiotemporal Dynamic Wavelet Network for Infrared Thermography-Based Machine Prognostics. IEEE Transactions on Systems Man and Cybernetics Systems. 54(3). 1658–1665. 5 indexed citations
18.
Xia, Tangbin, et al.. (2022). A CM&CP framework with a GIACC method and an ensemble model for remaining useful life prediction. Computers in Industry. 144. 103794–103794. 18 indexed citations
19.
Xia, Tangbin, et al.. (2022). Multiple degradation-driven preventive maintenance policy for serial-parallel multi-station manufacturing systems. Reliability Engineering & System Safety. 230. 108905–108905. 19 indexed citations
20.
Chen, Zhen, Di Zhou, Enrico Zio, Tangbin Xia, & Ershun Pan. (2022). A Deep Learning Feature Fusion Based Health Index Construction Method for Prognostics Using Multiobjective Optimization. IEEE Transactions on Reliability. 72(3). 1038–1052. 28 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026