Sunhao Dai
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 6
- Data Stream Mining Techniques 3
- Semantic Web and Ontologies 2
- Advanced Text Analysis Techniques 2
-
- Advanced Bandit Algorithms Research 7
- Co-authors
- Jun Xu (19 shared papers)Xu Chen (3 shared papers)Xiao Zhang (7 shared papers)Zhenhua Dong (8 shared papers)Weijie Yu (3 shared papers)Zhongxiang Sun (1 shared paper)Zihua Si (1 shared paper)Ji-Rong Wen (8 shared papers)
- Journals
- Frontiers of Computer Science (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)arXiv (Cornell University) (8 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Sunhao Dai
19 papers receiving 329 citations
Sunhao Dai's Hit Papers
Peers
Comparison fields: 5 of 55
- Health Informatics 11
- Information Systems 163
- Artificial Intelligence 181
- Management Science and Operations Research 35
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Sunhao Dai
This map shows the geographic impact of Sunhao Dai'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 Sunhao Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunhao Dai more than expected).
Fields of papers citing papers by Sunhao Dai
This network shows the impact of papers produced by Sunhao Dai. 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 Sunhao Dai. The network helps show where Sunhao Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunhao Dai, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Uncovering ChatGPT’s Capabilities in Recommender Systems Hit paper breakdown → | 2023 | 123 |
| 2 | 2024 | 61 | |
| 3 | Tool learning with large language models: a survey Hit paper breakdown → | 2025 | 37 |
| 4 | 2022 | 22 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Sunhao Dai
Sunhao Dai is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 26 papers that have together received 336 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Advanced Bandit Algorithms Research (7 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Data Stream Mining Techniques (3 papers), Seismic Imaging and Inversion Techniques (2 papers), Semantic Web and Ontologies (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (11 citations), Information Systems (163 citations), Artificial Intelligence (181 citations), Management Science and Operations Research (35 citations) and Computer Vision and Pattern Recognition (49 citations). Sunhao Dai has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jun Xu, Xu Chen, Xiao Zhang, Zhenhua Dong, Weijie Yu, Zhongxiang Sun, Zihua Si, Ji-Rong Wen, Liang Pang and Hengyi Cai. Their work appears in journals such as Frontiers of Computer Science, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.