Chengyao Chen
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
Papers in
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- Advanced Text Analysis Techniques 5
- Advanced Graph Neural Networks 4
- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 3
- Advanced Clustering Algorithms Research 1
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- Complex Network Analysis Techniques 11
- Opinion Dynamics and Social Influence 7
- Co-authors
- Wenjie Li (13 shared papers)Zhitao Wang (10 shared papers)Yuexian Hou (2 shared papers)Dehong Gao (2 shared papers)Xu Sun (1 shared paper)Ji Zhang (1 shared paper)Chao He (1 shared paper)Pengfei Liu (1 shared paper)
- Journals
- ACM Transactions on Knowledge Discovery from Data (1 paper)IEEE Intelligent Systems (1 paper)Transactions of the Association for Computational Linguistics (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Transactions on Affective Computing (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Chengyao Chen
14 papers receiving 219 citations
Peers
Comparison fields: 5 of 34
- Statistical and Nonlinear Physics 137
- Artificial Intelligence 150
- Computational Mathematics 2
- Information Systems 52
- Transportation 15
Countries citing papers authored by Chengyao Chen
This map shows the geographic impact of Chengyao 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 Chengyao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengyao Chen more than expected).
Fields of papers citing papers by Chengyao Chen
This network shows the impact of papers produced by Chengyao 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 Chengyao Chen. The network helps show where Chengyao Chen may publish in the future.
Co-authors
The 16 scholars most cited alongside Chengyao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 53 | |
| 2 | 2017 | 44 | |
| 3 | 2018 | 17 | |
| 4 | 2019 | 16 | |
| 5 | 2018 | 14 | |
| 6 | 2020 | 13 | |
| 7 | 2014 | 13 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2016 | 10 | |
| 12 | Content-based influence modeling for opinion behavior prediction | 2016 | 6 |
| 13 | 2017 | 6 | |
| 14 | 2017 | 1 |
About Chengyao Chen
Chengyao Chen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science, Information Systems and Cognitive Neuroscience, having authored 14 papers that have together received 228 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (7 papers), Advanced Text Analysis Techniques (5 papers), Advanced Graph Neural Networks (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (3 papers), Advanced Clustering Algorithms Research (1 paper) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (137 citations), Artificial Intelligence (150 citations), Computational Mathematics (2 citations), Information Systems (52 citations) and Transportation (15 citations). Chengyao Chen has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Wenjie Li, Zhitao Wang, Yuexian Hou, Dehong Gao, Xu Sun, Ji Zhang, Chao He, Pengfei Liu, Cane Wing-ki Leung and Furu Wei. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, IEEE Intelligent Systems, Transactions of the Association for Computational Linguistics, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Affective Computing.
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.