Jun Pan
Impact in
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- Reliability and Maintenance Optimization
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- Probabilistic and Robust Engineering Design
Papers in
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- Probabilistic and Robust Engineering Design 9
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- Reliability and Maintenance Optimization 12
- Co-authors
- Wenhua Chen (18 shared papers)Roy Billinton (2 shared papers)Xihui Liang (3 shared papers)Ming Jian Zuo (2 shared papers)Ping Qian (11 shared papers)Zhiliang Liu (1 shared paper)Heli Song (1 shared paper)Honglai Liu (1 shared paper)
- Journals
- Chinese Journal of Mechanical Engineering (9 papers)Applied Sciences (4 papers)IEEE Transactions on Reliability (3 papers)IEEE Access (2 papers)Advances in Differential Equations (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Jun Pan
53 papers receiving 414 citations
Peers
Comparison fields: 5 of 62
- Safety, Risk, Reliability and Quality 112
- Statistics, Probability and Uncertainty 81
- Statistics and Probability 63
- Mechanical Engineering 159
- Software 17
Countries citing papers authored by Jun Pan
This map shows the geographic impact of Jun 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 Jun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pan more than expected).
Fields of papers citing papers by Jun Pan
This network shows the impact of papers produced by Jun 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 Jun Pan. The network helps show where Jun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 52 | |
| 2 | 2017 | 47 | |
| 3 | 1998 | 37 | |
| 4 | 2020 | 29 | |
| 5 | 2012 | 24 | |
| 6 | 2018 | 22 | |
| 7 | 2018 | 20 | |
| 8 | 2024 | 19 | |
| 9 | 1999 | 17 | |
| 10 | 2012 | 17 | |
| 11 | 2013 | 14 | |
| 12 | 2012 | 12 | |
| 13 | 2016 | 12 | |
| 14 | 2024 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2011 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2014 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 5 |
About Jun Pan
Jun Pan is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Mechanical Engineering, Statistics and Probability and Control and Systems Engineering, having authored 61 papers that have together received 438 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (12 papers), Hydraulic and Pneumatic Systems (11 papers), Gear and Bearing Dynamics Analysis (10 papers), Statistical Distribution Estimation and Applications (9 papers), Probabilistic and Robust Engineering Design (9 papers), Tribology and Lubrication Engineering (8 papers), Iterative Learning Control Systems (5 papers) and Mechanical Engineering and Vibrations Research (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (112 citations), Statistics, Probability and Uncertainty (81 citations), Statistics and Probability (63 citations), Mechanical Engineering (159 citations) and Software (17 citations). Jun Pan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Wenhua Chen, Roy Billinton, Xihui Liang, Ming Jian Zuo, Ping Qian, Zhiliang Liu, Heli Song, Honglai Liu, Cheng Lian and Yongshu Xie. Their work appears in journals such as Chinese Journal of Mechanical Engineering, Applied Sciences, IEEE Transactions on Reliability, IEEE Access and Advances in Differential Equations.
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.