Canyu Chen
Impact in
-
- Topic Modeling
Papers in
-
- Topic Modeling 4
- Natural Language Processing Techniques 3
- Authorship Attribution and Profiling 2
- Co-authors
- Kai Shu (9 shared papers)Yingtong Dou (1 shared paper)Philip S. Yu (1 shared paper)Lichao Sun (1 shared paper)Ali Cinar (1 shared paper)Mohammad Reza Askari (1 shared paper)Stephen Gang Wu (1 shared paper)Anming Wang (1 shared paper)
- Journals
- Electric Power Systems Research (1 paper)Molecular Biology Reports (1 paper)BMC Medical Education (1 paper)Journal of Cleaner Production (1 paper)Electronics (1 paper)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Canyu Chen
24 papers receiving 257 citations
Canyu Chen's Hit Papers
Peers
Comparison fields: 5 of 80
- Health Informatics 5
- Artificial Intelligence 75
- Information Systems 39
- Health Information Management 6
- Endocrinology, Diabetes and Metabolism 17
Countries citing papers authored by Canyu Chen
This map shows the geographic impact of Canyu Chen'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 Canyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Canyu Chen more than expected).
Fields of papers citing papers by Canyu Chen
This network shows the impact of papers produced by Canyu Chen. 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 Canyu Chen. The network helps show where Canyu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Canyu Chen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combating misinformation in the age of LLMs: Opportunities and challenges Hit paper breakdown → | 2024 | 62 |
| 2 | 2023 | 28 | |
| 3 | 2022 | 21 | |
| 4 | 2016 | 21 | |
| 5 | 2025 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2024 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2025 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2012 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2012 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Canyu Chen
Canyu Chen is a scholar working on Artificial Intelligence, Physiology, Endocrinology, Diabetes and Metabolism, Health Information Management and Critical Care and Intensive Care Medicine, having authored 31 papers that have together received 265 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Power Quality and Harmonics (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Authorship Attribution and Profiling (2 papers), Optimal Power Flow Distribution (2 papers), Misinformation and Its Impacts (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (75 citations), Information Systems (39 citations), Health Information Management (6 citations) and Endocrinology, Diabetes and Metabolism (17 citations). Canyu Chen has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Kai Shu, Yingtong Dou, Philip S. Yu, Lichao Sun, Ali Cinar, Mohammad Reza Askari, Stephen Gang Wu, Anming Wang, Jiecan Zhou and Xiaolin Pei. Their work appears in journals such as Electric Power Systems Research, Molecular Biology Reports, BMC Medical Education, Journal of Cleaner Production and Electronics.
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.