Wei Ai
Impact in
- Human-Computer Interaction top 2%
- Digital Communication and Language
-
- Chaos control and synchronization
- Quantum chaos and dynamical systems
Papers in
-
- Sentiment Analysis and Opinion Mining 9
- Topic Modeling 6
- Advanced Graph Neural Networks 5
- Co-authors
- Qiaozhu Mei (14 shared papers)Kehui Sun (5 shared papers)Xuan Lü (6 shared papers)Keqin Li (10 shared papers)Gang Huang (4 shared papers)Xuanzhe Liu (4 shared papers)Ning Wang (1 shared paper)Qian Li (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Optics Express (1 paper)ACM Transactions on Information Systems (1 paper)Knowledge-Based Systems (1 paper)Management Science (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Wei Ai
41 papers receiving 626 citations
Peers
Comparison fields: 5 of 96
- Human-Computer Interaction 174
- Statistical and Nonlinear Physics 135
- Artificial Intelligence 237
- Experimental and Cognitive Psychology 70
- Computer Vision and Pattern Recognition 87
Countries citing papers authored by Wei Ai
This map shows the geographic impact of Wei Ai'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 Wei Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ai more than expected).
Fields of papers citing papers by Wei Ai
This network shows the impact of papers produced by Wei Ai. 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 Wei Ai. The network helps show where Wei Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ai, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2022 | 64 | |
| 3 | 2014 | 53 | |
| 4 | 2017 | 41 | |
| 5 | 2017 | 40 | |
| 6 | 2018 | 40 | |
| 7 | 2019 | 40 | |
| 8 | 2016 | 27 | |
| 9 | 2019 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2016 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2017 | 19 | |
| 14 | 2017 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2016 | 11 | |
| 17 | 2022 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2020 | 8 |
About Wei Ai
Wei Ai is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 45 papers that have together received 657 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Digital Communication and Language (6 papers), Topic Modeling (6 papers), Chaos control and synchronization (5 papers), Advanced Graph Neural Networks (5 papers), Digital Marketing and Social Media (4 papers), Complex Network Analysis Techniques (4 papers) and Transportation and Mobility Innovations (4 papers). The work is most often cited by research in Human-Computer Interaction (174 citations), Statistical and Nonlinear Physics (135 citations), Artificial Intelligence (237 citations), Experimental and Cognitive Psychology (70 citations) and Computer Vision and Pattern Recognition (87 citations). Wei Ai has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qiaozhu Mei, Kehui Sun, Xuan Lü, Keqin Li, Gang Huang, Xuanzhe Liu, Ning Wang, Qian Li, Kenli Li and Tao Meng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Optics Express, ACM Transactions on Information Systems, Knowledge-Based Systems and Management Science.
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.