Kai Shu
Impact in
- Information Systems top 0.05%
- Spam and Phishing Detection
- Sociology and Political Science top 0.1%
- Misinformation and Its Impacts
Papers in
-
- Topic Modeling 24
- Privacy-Preserving Technologies in Data 7
- Sentiment Analysis and Opinion Mining 7
- Hate Speech and Cyberbullying Detection 6
-
- Misinformation and Its Impacts 50
- Co-authors
- Huan Liu (38 shared papers)Suhang Wang (23 shared papers)Jiliang Tang (5 shared papers)Amy Sliva (1 shared paper)Dongwon Lee (6 shared papers)Reza Zafarani (5 shared papers)Limeng Cui (2 shared papers)Xinyi Zhou (4 shared papers)
- Journals
- Information Processing & Management (4 papers)Clinical Neurology and Neurosurgery (1 paper)AI Magazine (1 paper)IEEE Intelligent Systems (1 paper)Journal of Neural Engineering (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Kai Shu
95 papers receiving 6.0k citations
Kai Shu's Hit Papers
Peers
Comparison fields: 5 of 119
- Information Systems 3.8k
- Sociology and Political Science 4.8k
- Signal Processing 1.1k
- Artificial Intelligence 3.2k
- Communication 489
Countries citing papers authored by Kai Shu
This map shows the geographic impact of Kai Shu'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 Kai Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Shu more than expected).
Fields of papers citing papers by Kai Shu
This network shows the impact of papers produced by Kai Shu. 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 Kai Shu. The network helps show where Kai Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Shu, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fake News Detection on Social Media Hit paper breakdown → | 2017 | 1874 |
| 2 | FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media Hit paper breakdown → | 2020 | 610 |
| 3 | dEFEND Hit paper breakdown → | 2019 | 367 |
| 4 | Beyond News Contents Hit paper breakdown → | 2019 | 357 |
| 5 | Understanding User Profiles on Social Media for Fake News Detection Hit paper breakdown → | 2018 | 221 |
| 6 | Unsupervised Fake News Detection on Social Media: A Generative Approach Hit paper breakdown → | 2019 | 201 |
| 7 | 2017 | 187 | |
| 8 | 2017 | 166 | |
| 9 | User Preference-aware Fake News Detection Hit paper breakdown → | 2021 | 161 |
| 10 | 2019 | 150 | |
| 11 | 2019 | 145 | |
| 12 | 2018 | 126 | |
| 13 | 2020 | 125 | |
| 14 | 2020 | 105 | |
| 15 | 2021 | 101 | |
| 16 | 2022 | 92 | |
| 17 | Multi-label informed feature selection | 2016 | 85 |
| 18 | 2020 | 71 | |
| 19 | Exploiting Tri-Relationship for Fake News Detection. | 2017 | 69 |
| 20 | 2022 | 64 |
About Kai Shu
Kai Shu is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 106 papers that have together received 6.3k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (50 papers), Spam and Phishing Detection (37 papers), Topic Modeling (24 papers), Complex Network Analysis Techniques (11 papers), Privacy-Preserving Technologies in Data (7 papers), Sentiment Analysis and Opinion Mining (7 papers), Hate Speech and Cyberbullying Detection (6 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Information Systems (3.8k citations), Sociology and Political Science (4.8k citations), Signal Processing (1.1k citations), Artificial Intelligence (3.2k citations) and Communication (489 citations). Kai Shu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Huan Liu, Suhang Wang, Jiliang Tang, Amy Sliva, Dongwon Lee, Reza Zafarani, Limeng Cui, Xinyi Zhou, Huan Liu and Canyu Chen. Their work appears in journals such as Information Processing & Management, Clinical Neurology and Neurosurgery, AI Magazine, IEEE Intelligent Systems and Journal of Neural Engineering.
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.