Yan Su
Impact in
- Communication top 1%
- Social Media and Politics
- Media Studies and Communication
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- Misinformation and Its Impacts
Papers in
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- Misinformation and Its Impacts 20
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- Social Media and Politics 23
- Media Studies and Communication 9
- Co-authors
- Xizhu Xiao (20 shared papers)Porismita Borah (12 shared papers)Magy Seif El‐Nasr (2 shared papers)Danielle Ka Lai Lee (8 shared papers)Dongwon Lee (4 shared papers)Min‐Yen Kan (2 shared papers)Suying Ding (8 shared papers)C. Lee Giles (2 shared papers)
- Journals
- Computers in Human Behavior (4 papers)Frontiers in Cellular and Infection Microbiology (3 papers)Online Information Review (3 papers)Journal of Information Technology & Politics (2 papers)International Communication Gazette (2 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Yan Su
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 155
- Communication 422
- Sociology and Political Science 612
- Human-Computer Interaction 79
- Health 76
- Management Science and Operations Research 128
Countries citing papers authored by Yan Su
This map shows the geographic impact of Yan Su'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 Yan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Su more than expected).
Fields of papers citing papers by Yan Su
This network shows the impact of papers produced by Yan Su. 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 Yan Su. The network helps show where Yan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Su, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2021 | 93 | |
| 3 | 2019 | 93 | |
| 4 | 2006 | 88 | |
| 5 | 2007 | 88 | |
| 6 | 2006 | 76 | |
| 7 | 2022 | 66 | |
| 8 | 2021 | 63 | |
| 9 | 2007 | 49 | |
| 10 | 2021 | 44 | |
| 11 | 2021 | 42 | |
| 12 | 2021 | 40 | |
| 13 | 2020 | 39 | |
| 14 | 2008 | 39 | |
| 15 | 2007 | 38 | |
| 16 | 2021 | 35 | |
| 17 | 2024 | 34 | |
| 18 | 2010 | 31 | |
| 19 | 2022 | 31 | |
| 20 | 2021 | 30 |
About Yan Su
Yan Su is a scholar working on Sociology and Political Science, Communication, Molecular Biology, Artificial Intelligence and Literature and Literary Theory, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Social Media and Politics (23 papers), Misinformation and Its Impacts (20 papers), Media Studies and Communication (9 papers), Hate Speech and Cyberbullying Detection (8 papers), Gut microbiota and health (8 papers), Media Influence and Health (7 papers), Vaccine Coverage and Hesitancy (6 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Communication (422 citations), Sociology and Political Science (612 citations), Human-Computer Interaction (79 citations), Health (76 citations) and Management Science and Operations Research (128 citations). Yan Su has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Xizhu Xiao, Porismita Borah, Magy Seif El‐Nasr, Danielle Ka Lai Lee, Dongwon Lee, Min‐Yen Kan, Suying Ding, C. Lee Giles, Tiantian Li and Ang Li. Their work appears in journals such as Computers in Human Behavior, Frontiers in Cellular and Infection Microbiology, Online Information Review, Journal of Information Technology & Politics and International Communication Gazette.
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.