Bing He
Impact in
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- Social Media and Politics
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Machine Learning and Data Classification
Papers in
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- Hate Speech and Cyberbullying Detection 4
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- Spam and Phishing Detection 5
- Co-authors
- Srijan Kumar (6 shared papers)Mustaque Ahamad (3 shared papers)Naren Ramakrishnan (1 shared paper)Sandeep Soni (1 shared paper)Diyi Yang (1 shared paper)Caleb Ziems (1 shared paper)Jiawei Bai (1 shared paper)Thomas A. Glass (1 shared paper)
- Journals
- Acta Physico-Chimica Sinica (1 paper)Scientific Reports (1 paper)Journal of Hepatology (1 paper)Clinical Radiology (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bing He
27 papers receiving 247 citations
Peers
Comparison fields: 5 of 84
- Communication 29
- Artificial Intelligence 107
- Information Systems 53
- Sociology and Political Science 84
- Microbiology 9
Countries citing papers authored by Bing He
This map shows the geographic impact of Bing He'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 Bing He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing He more than expected).
Fields of papers citing papers by Bing He
This network shows the impact of papers produced by Bing He. 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 Bing He. The network helps show where Bing He may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing He, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2013 | 29 | |
| 3 | 2023 | 24 | |
| 4 | 2021 | 17 | |
| 5 | 2023 | 14 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2014 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2024 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2012 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2011 | 2 | |
| 20 | 2025 | 1 |
About Bing He
Bing He is a scholar working on Artificial Intelligence, Information Systems, Radiology, Nuclear Medicine and Imaging, Sociology and Political Science and Communication, having authored 28 papers that have together received 253 indexed citations. Recurring topics across this work include Spam and Phishing Detection (5 papers), Misinformation and Its Impacts (5 papers), Hate Speech and Cyberbullying Detection (4 papers), MRI in cancer diagnosis (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Social Media and Politics (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Communication (29 citations), Artificial Intelligence (107 citations), Information Systems (53 citations), Sociology and Political Science (84 citations) and Microbiology (9 citations). Bing He has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Srijan Kumar, Mustaque Ahamad, Naren Ramakrishnan, Sandeep Soni, Diyi Yang, Caleb Ziems, Jiawei Bai, Thomas A. Glass, Haochang Shou and Ciprian M. Crainiceanu. Their work appears in journals such as Acta Physico-Chimica Sinica, Scientific Reports, Journal of Hepatology, Clinical Radiology and Journal of Magnetic Resonance Imaging.
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.