Chun Yan
Impact in
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- Business Process Modeling and Analysis
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Anomaly Detection Techniques and Applications 6
- Imbalanced Data Classification Techniques 4
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- Service-Oriented Architecture and Web Services 11
- Co-authors
- Wei Liu (30 shared papers)Meixuan Li (9 shared papers)Yaqi Li (5 shared papers)Maozhen Li (5 shared papers)Wei Liu (1 shared paper)Yuyue Du (7 shared papers)Qing-Bin Gao (2 shared papers)Zhengzhi Wang (2 shared papers)
- Journals
- IEEE Access (4 papers)Journal of Intelligent & Fuzzy Systems (3 papers)Applied Soft Computing (3 papers)Engineering Applications of Artificial Intelligence (3 papers)International Journal of Fuzzy Systems (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Chun Yan
48 papers receiving 682 citations
Peers
Comparison fields: 5 of 102
- Management Information Systems 106
- Artificial Intelligence 247
- Information Systems 168
- Computational Theory and Mathematics 95
- Health Information Management 22
Countries citing papers authored by Chun Yan
This map shows the geographic impact of Chun Yan'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 Chun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Yan more than expected).
Fields of papers citing papers by Chun Yan
This network shows the impact of papers produced by Chun Yan. 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 Chun Yan. The network helps show where Chun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Yan, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 95 | |
| 2 | 2005 | 69 | |
| 3 | 2019 | 53 | |
| 4 | 2011 | 35 | |
| 5 | 2014 | 35 | |
| 6 | 2015 | 34 | |
| 7 | 2021 | 32 | |
| 8 | 2022 | 31 | |
| 9 | 2019 | 30 | |
| 10 | 2020 | 27 | |
| 11 | 2019 | 26 | |
| 12 | 2014 | 22 | |
| 13 | 2016 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2017 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2017 | 11 | |
| 20 | 2021 | 11 |
About Chun Yan
Chun Yan is a scholar working on Artificial Intelligence, Information Systems, Management Information Systems, Computational Theory and Mathematics and Economics and Econometrics, having authored 57 papers that have together received 709 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (11 papers), Business Process Modeling and Analysis (8 papers), Anomaly Detection Techniques and Applications (6 papers), Insurance and Financial Risk Management (5 papers), Petri Nets in System Modeling (5 papers), Access Control and Trust (4 papers), Imbalanced Data Classification Techniques (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Management Information Systems (106 citations), Artificial Intelligence (247 citations), Information Systems (168 citations), Computational Theory and Mathematics (95 citations) and Health Information Management (22 citations). Chun Yan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wei Liu, Meixuan Li, Yaqi Li, Maozhen Li, Wei Liu, Yuyue Du, Qing-Bin Gao, Zhengzhi Wang, Man Qi and MengChu Zhou. Their work appears in journals such as IEEE Access, Journal of Intelligent & Fuzzy Systems, Applied Soft Computing, Engineering Applications of Artificial Intelligence and International Journal of Fuzzy Systems.
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.