Jun Pan
Impact in
- Gastroenterology top 1%
- Gastrointestinal Bleeding Diagnosis and Treatment
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- Chaos control and synchronization
Papers in
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- Gastrointestinal Bleeding Diagnosis and Treatment 18
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- Chaos control and synchronization 18
- Co-authors
- Haijun Wang (15 shared papers)Xi Jiang (13 shared papers)Zhao Shen Li (15 shared papers)Yang‐Yang Qian (12 shared papers)Zhuan Liao (13 shared papers)Wen‐Bin Zou (7 shared papers)Wei Zhou (8 shared papers)Zhuan Liao (5 shared papers)
In The Last Decade
Jun Pan
69 papers receiving 1.1k citations
Jun Pan's Hit Papers
Peers
Comparison fields: 5 of 90
- Gastroenterology 315
- Statistical and Nonlinear Physics 140
- Geometry and Topology 99
- Control and Systems Engineering 205
- Health Informatics 10
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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 67 | |
| 2 | 2020 | 61 | |
| 3 | 2020 | 60 | |
| 4 | 2019 | 40 | |
| 5 | 2021 | 40 | |
| 6 | 2022 | 40 | |
| 7 | 2019 | 36 | |
| 8 | 2020 | 31 | |
| 9 | 2021 | 31 | |
| 10 | 2012 | 30 | |
| 11 | 2014 | 30 | |
| 12 | 2018 | 30 | |
| 13 | 2020 | 25 | |
| 14 | 2023 | 25 | |
| 15 | 2022 | 24 | |
| 16 | 2023 | 24 | |
| 17 | 2022 | 23 | |
| 18 | 2023 | 23 | |
| 19 | 2024 | 23 | |
| 20 | 2023 | 22 |
About Jun Pan
Jun Pan is a scholar working on Gastroenterology, Statistical and Nonlinear Physics, Geometry and Topology, Artificial Intelligence and Mathematical Physics, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gastrointestinal Bleeding Diagnosis and Treatment (18 papers), Chaos control and synchronization (18 papers), Advanced Differential Equations and Dynamical Systems (17 papers), Mathematical Dynamics and Fractals (4 papers), Topic Modeling (3 papers), Liver Disease and Transplantation (3 papers), Advanced Neural Network Applications (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Gastroenterology (315 citations), Statistical and Nonlinear Physics (140 citations), Geometry and Topology (99 citations), Control and Systems Engineering (205 citations) and Health Informatics (10 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, Zhuan Liao, Yuan‐Chen Wang and Zongda Wu. Their work appears in journals such as International Journal of Bifurcation and Chaos, Gastrointestinal Endoscopy, Scientific Reports, IEEE Access and Digestive Diseases and Sciences.
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.