Ye Ye
Impact in
- Health Informatics top 5%
-
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
Papers in
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- Evolutionary Game Theory and Cooperation 23
-
- Opinion Dynamics and Social Influence 14
- Co-authors
- Nenggang Xie (37 shared papers)Brenda G. Hogue (3 shared papers)Chao Wang (10 shared papers)Kang Hao Cheong (6 shared papers)Attila Szolnoki (2 shared papers)Matjaž Perc (1 shared paper)Cyril Mauffrey (2 shared papers)David J. Hak (2 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (9 papers)Surgical Endoscopy (5 papers)Sustainability (3 papers)Phytochemistry Letters (3 papers)Chaos Solitons & Fractals (3 papers)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Ye Ye
153 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 192
- Health Informatics 38
- Statistical and Nonlinear Physics 195
- Animal Science and Zoology 101
- Infectious Diseases 166
- Safety Research 72
Countries citing papers authored by Ye Ye
This map shows the geographic impact of Ye Ye'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 Ye Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Ye more than expected).
Fields of papers citing papers by Ye Ye
This network shows the impact of papers produced by Ye Ye. 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 Ye Ye. The network helps show where Ye Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Ye, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 102 | |
| 2 | 2013 | 102 | |
| 3 | 2006 | 91 | |
| 4 | 2013 | 91 | |
| 5 | 2017 | 90 | |
| 6 | 2011 | 81 | |
| 7 | 2015 | 66 | |
| 8 | 2017 | 65 | |
| 9 | 2020 | 63 | |
| 10 | 2021 | 52 | |
| 11 | 2015 | 49 | |
| 12 | 2021 | 47 | |
| 13 | 2018 | 46 | |
| 14 | 2018 | 45 | |
| 15 | 2019 | 44 | |
| 16 | 2014 | 38 | |
| 17 | 2006 | 34 | |
| 18 | 2016 | 32 | |
| 19 | 2021 | 30 | |
| 20 | 2022 | 28 |
About Ye Ye
Ye Ye is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Molecular Biology, Epidemiology and Artificial Intelligence, having authored 165 papers that have together received 2.2k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (23 papers), Opinion Dynamics and Social Influence (14 papers), Data-Driven Disease Surveillance (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Complex Systems and Time Series Analysis (7 papers), Evolution and Genetic Dynamics (7 papers), Gastrointestinal Tumor Research and Treatment (5 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Health Informatics (38 citations), Statistical and Nonlinear Physics (195 citations), Animal Science and Zoology (101 citations), Infectious Diseases (166 citations) and Safety Research (72 citations). Ye Ye has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Nenggang Xie, Brenda G. Hogue, Chao Wang, Kang Hao Cheong, Attila Szolnoki, Matjaž Perc, Cyril Mauffrey, David J. Hak, Gang Xu and Fuchiang Tsui. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Surgical Endoscopy, Sustainability, Phytochemistry Letters and Chaos Solitons & Fractals.
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.