Kai Hui
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
Papers in
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- Topic Modeling 20
- Natural Language Processing Techniques 6
- Text and Document Classification Technologies 4
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- Information Retrieval and Search Behavior 13
- Expert finding and Q&A systems 5
- Co-authors
- Ben He (13 shared papers)Andrew Yates (7 shared papers)Le Sun (8 shared papers)Klaus Berberich (7 shared papers)Gerard de Melo (2 shared papers)Cancan Jin (1 shared paper)Honglei Zhuang (4 shared papers)Xuanhui Wang (4 shared papers)
- Journals
- Applied Sciences (1 paper)Separation and Purification Technology (1 paper)Information Retrieval (1 paper)Information Processing & Management (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Kai Hui
32 papers receiving 493 citations
Kai Hui's Hit Papers
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 386
- Information Systems 184
- Computer Vision and Pattern Recognition 95
- Management Science and Operations Research 49
- Computer Science Applications 14
Countries citing papers authored by Kai Hui
This map shows the geographic impact of Kai Hui'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 Kai Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hui more than expected).
Fields of papers citing papers by Kai Hui
This network shows the impact of papers produced by Kai Hui. 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 Kai Hui. The network helps show where Kai Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Hui, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting Hit paper breakdown → | 2024 | 79 |
| 2 | 2018 | 79 | |
| 3 | 2018 | 75 | |
| 4 | 2020 | 49 | |
| 5 | 2023 | 44 | |
| 6 | 2024 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2024 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2024 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2017 | 11 | |
| 13 | 2011 | 10 | |
| 14 | 2017 | 7 | |
| 15 | 2017 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2013 | 4 |
About Kai Hui
Kai Hui is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Signal Processing and Management Science and Operations Research, having authored 35 papers that have together received 512 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Information Retrieval and Search Behavior (13 papers), Natural Language Processing Techniques (6 papers), Expert finding and Q&A systems (5 papers), Text and Document Classification Technologies (4 papers), Biomedical Text Mining and Ontologies (3 papers), Data Management and Algorithms (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Artificial Intelligence (386 citations), Information Systems (184 citations), Computer Vision and Pattern Recognition (95 citations), Management Science and Operations Research (49 citations) and Computer Science Applications (14 citations). Kai Hui has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Ben He, Andrew Yates, Le Sun, Klaus Berberich, Gerard de Melo, Cancan Jin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky and Rolf Jagerman. Their work appears in journals such as Applied Sciences, Separation and Purification Technology, Information Retrieval, Information Processing & Management 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.