Jun Pan
Impact in
- Gastroenterology top 2%
- Gastrointestinal Bleeding Diagnosis and Treatment
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- Chaos control and synchronization
Papers in
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- Chaos control and synchronization 15
- Quantum chaos and dynamical systems 9
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- Gastrointestinal Bleeding Diagnosis and Treatment 16
- Co-authors
- Haijun Wang (8 shared papers)Xi Jiang (14 shared papers)Zhao‐Shen Li (15 shared papers)Yang‐Yang Qian (12 shared papers)Zhuan Liao (14 shared papers)Wen‐Bin Zou (7 shared papers)Wei Zhou (8 shared papers)Songtao Qi (2 shared papers)
In The Last Decade
Jun Pan
65 papers receiving 944 citations
Peers
Comparison fields: 5 of 129
- Gastroenterology 286
- Statistical and Nonlinear Physics 138
- Control and Systems Engineering 187
- Surgery 262
- Computational Mathematics 3
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 59 | |
| 2 | 2020 | 55 | |
| 3 | 2020 | 51 | |
| 4 | 2017 | 49 | |
| 5 | 2021 | 39 | |
| 6 | 2022 | 34 | |
| 7 | 2019 | 34 | |
| 8 | 2019 | 30 | |
| 9 | 2021 | 30 | |
| 10 | 2018 | 27 | |
| 11 | 2008 | 27 | |
| 12 | 2023 | 25 | |
| 13 | 2020 | 25 | |
| 14 | 2014 | 25 | |
| 15 | 2012 | 24 | |
| 16 | 2022 | 24 | |
| 17 | 2023 | 22 | |
| 18 | 2023 | 22 | |
| 19 | 2020 | 21 | |
| 20 | 2023 | 21 |
About Jun Pan
Jun Pan is a scholar working on Statistical and Nonlinear Physics, Gastroenterology, Surgery, Computer Networks and Communications and Pulmonary and Respiratory Medicine, having authored 73 papers that have together received 975 indexed citations. Recurring topics across this work include Gastrointestinal Bleeding Diagnosis and Treatment (16 papers), Chaos control and synchronization (15 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Gastric Cancer Management and Outcomes (9 papers), Quantum chaos and dynamical systems (9 papers), Gastrointestinal disorders and treatments (6 papers), Advanced Differential Equations and Dynamical Systems (6 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Gastroenterology (286 citations), Statistical and Nonlinear Physics (138 citations), Control and Systems Engineering (187 citations), Surgery (262 citations) and Computational Mathematics (3 citations). Jun Pan has collaborated with scholars based in China, Japan and Pakistan. Frequent co-authors include Haijun Wang, Xi Jiang, Zhao‐Shen Li, Yang‐Yang Qian, Zhuan Liao, Wen‐Bin Zou, Wei Zhou, Songtao Qi, Zhuan Liao and Yuan‐Chen Wang. Their work appears in journals such as Gastrointestinal Endoscopy, International Journal of Bifurcation and Chaos, Scientific Reports, IEEE Access and BMC Gastroenterology.
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.