Chenyang Wang
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
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- Recommender Systems and Techniques 12
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- Advanced Graph Neural Networks 6
- Co-authors
- Shaoping Ma (12 shared papers)Weizhi Ma (12 shared papers)Yiqun Liu (12 shared papers)Min Zhang (10 shared papers)Cuicui Lu (5 shared papers)Chong Chen (6 shared papers)Yong‐Chun Liu (2 shared papers)Hongyu Zhang (4 shared papers)
- Journals
- Physics of Fluids (5 papers)ACM Transactions on Information Systems (3 papers)Computers and Geotechnics (2 papers)Scientific Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chenyang Wang
44 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 123
- Information Systems 560
- Artificial Intelligence 582
- Acoustics and Ultrasonics 11
- Atomic and Molecular Physics, and Optics 334
- Statistical and Nonlinear Physics 128
Countries citing papers authored by Chenyang Wang
This map shows the geographic impact of Chenyang Wang'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 Chenyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyang Wang more than expected).
Fields of papers citing papers by Chenyang Wang
This network shows the impact of papers produced by Chenyang Wang. 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 Chenyang Wang. The network helps show where Chenyang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenyang Wang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 134 | |
| 2 | 2019 | 131 | |
| 3 | 2021 | 116 | |
| 4 | 2020 | 97 | |
| 5 | 2019 | 96 | |
| 6 | 2022 | 79 | |
| 7 | 2020 | 67 | |
| 8 | 2021 | 53 | |
| 9 | 2019 | 50 | |
| 10 | 2021 | 50 | |
| 11 | 2020 | 49 | |
| 12 | 2020 | 37 | |
| 13 | 2022 | 35 | |
| 14 | 2021 | 35 | |
| 15 | 2021 | 32 | |
| 16 | 2022 | 32 | |
| 17 | 2020 | 32 | |
| 18 | 2020 | 30 | |
| 19 | 2022 | 28 | |
| 20 | 2021 | 25 |
About Chenyang Wang
Chenyang Wang is a scholar working on Information Systems, Artificial Intelligence, Computational Mechanics, Management Science and Operations Research and Aerospace Engineering, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Advanced Bandit Algorithms Research (8 papers), Lattice Boltzmann Simulation Studies (6 papers), Advanced Graph Neural Networks (6 papers), Topological Materials and Phenomena (5 papers), Surface Modification and Superhydrophobicity (5 papers), Icing and De-icing Technologies (4 papers) and Blood properties and coagulation (4 papers). The work is most often cited by research in Information Systems (560 citations), Artificial Intelligence (582 citations), Acoustics and Ultrasonics (11 citations), Atomic and Molecular Physics, and Optics (334 citations) and Statistical and Nonlinear Physics (128 citations). Chenyang Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shaoping Ma, Weizhi Ma, Yiqun Liu, Min Zhang, Cuicui Lu, Chong Chen, Yong‐Chun Liu, Hongyu Zhang, Chao Liang and Xiwen Zhang. Their work appears in journals such as Physics of Fluids, ACM Transactions on Information Systems, Computers and Geotechnics, Scientific Reports and Nature Communications.
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.