Bingsheng Yao
- Artificial Intelligence top 10%
- Social Psychology
- Human-Computer Interaction top 5%
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- Dakuo WangXuhai XuYing XuTongshuang WuZheng ZhangDaniel RitchieToby Jia-Jun LiJames Hendler
- Topics
- Topic Modeling (10 papers)Natural Language Processing Techniques (7 papers)Machine Learning in Healthcare (5 papers)
- Journals
- International Journal of Human-Computer StudiesTransactions of the Association for Computational LinguisticsProceedings of the ACM on Human-Computer Interaction
- Partner nations
- United StatesMexicoHong Kong
In The Last Decade
Bingsheng Yao
25 papers receiving 373 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 180
- Social Psychology 66
- Human-Computer Interaction 59
- Information Systems 41
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Bingsheng Yao
This map shows the geographic impact of Bingsheng Yao'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 Bingsheng Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingsheng Yao more than expected).
Fields of papers citing papers by Bingsheng Yao
This network shows the impact of papers produced by Bingsheng Yao. 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 Bingsheng Yao. The network helps show where Bingsheng Yao may publish in the future.
Co-authorship network of co-authors of Bingsheng Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Bingsheng Yao. A scholar is included among the top collaborators of Bingsheng Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bingsheng Yao. Bingsheng Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | Mental-LLMbreakdown → | 78 |
| 8 | 4 | |
| 9 | 35 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 30 | |
| 16 | 35 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 27 |
About Bingsheng Yao
Bingsheng Yao is a scholar working on Health Informatics, Artificial Intelligence and Computer Science Applications, having authored 29 papers that have together received 384 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Health Informatics (22 citations), Human-Computer Interaction (59 citations) and Applied Psychology (36 citations). Bingsheng Yao has collaborated with scholars based in United States, Mexico and Hong Kong. Frequent co-authors include Dakuo Wang, Xuhai Xu, Ying Xu, Tongshuang Wu, Zheng Zhang, Daniel Ritchie, Toby Jia-Jun Li, James Hendler, Mo Yu and Hong Yu. Their work appears in journals such as International Journal of Human-Computer Studies, Transactions of the Association for Computational Linguistics and Proceedings of the ACM on Human-Computer Interaction.
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.