Zhuyun Dai
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Co-authors
- Jamie CallanChenyan XiongLuyu GaoZhiyuan LiuVincent ZhaoJianmo NiJi MaJing Lü
- Topics
- Topic Modeling (12 papers)Natural Language Processing Techniques (7 papers)Information Retrieval and Search Behavior (6 papers)
- Journals
- Data IntelligenceMinerva Access (University of Melbourne)Text REtrieval Conference
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Zhuyun Dai
17 papers receiving 580 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 528
- Information Systems 235
- Computer Vision and Pattern Recognition 185
- Management Science and Operations Research 44
- Computer Networks and Communications 30
Countries citing papers authored by Zhuyun Dai
This map shows the geographic impact of Zhuyun 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 Zhuyun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuyun Dai more than expected).
Fields of papers citing papers by Zhuyun Dai
This network shows the impact of papers produced by Zhuyun 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 Zhuyun Dai. The network helps show where Zhuyun Dai may publish in the future.
Co-authorship network of co-authors of Zhuyun Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuyun Dai. A scholar is included among the top collaborators of Zhuyun Dai 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 Zhuyun Dai. Zhuyun Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 50 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 86 | |
| 6 | 88 | |
| 7 | 13 | |
| 8 | 63 | |
| 9 | 15 | |
| 10 | 66 | |
| 11 | 27 | |
| 12 | An Evaluation of Weakly-Supervised DeepCT in the TREC 2019 Deep Learning Track. | 1 |
| 13 | 160 | |
| 14 | 13 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | 4 |
About Zhuyun Dai
Zhuyun Dai is a scholar working on Information Systems, Artificial Intelligence and General Social Sciences, having authored 17 papers that have together received 611 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (7 papers) and Information Retrieval and Search Behavior (6 papers). The work is most often cited by research in Artificial Intelligence (528 citations), Information Systems (235 citations) and Computer Vision and Pattern Recognition (185 citations). Zhuyun Dai has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jamie Callan, Chenyan Xiong, Luyu Gao, Zhiyuan Liu, Vincent Zhao, Jianmo Ni, Ji Ma, Jing Lü, Yinfei Yang and Keith Hall. Their work appears in journals such as Data Intelligence, Minerva Access (University of Melbourne) and Text REtrieval Conference.
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.