Kai Hui
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
- Information Systems top 10%
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
Papers in
-
- Topic Modeling 17
- Natural Language Processing Techniques 5
- Text and Document Classification Technologies 3
- Machine Learning in Healthcare 2
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- Information Retrieval and Search Behavior 6
- Expert finding and Q&A systems 4
- Co-authors
- Ben He (9 shared papers)Le Sun (7 shared papers)Andrew Yates (5 shared papers)Cancan Jin (1 shared paper)Klaus Berberich (4 shared papers)Gerard de Melo (2 shared papers)Michael Bendersky (4 shared papers)Honglei Zhuang (4 shared papers)
- Journals
- Information Retrieval (1 paper)Separation and Purification Technology (1 paper)Information Processing & Management (1 paper)Applied Sciences (1 paper)International Journal of Data Mining and Bioinformatics (2 papers)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Kai Hui
22 papers receiving 300 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 239
- Information Systems 105
- Computer Vision and Pattern Recognition 48
- Computer Science Applications 10
- Management Science and Operations Research 22
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 63 | |
| 2 | 2024 | 51 | |
| 3 | 2018 | 49 | |
| 4 | 2020 | 35 | |
| 5 | 2023 | 29 | |
| 6 | 2024 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2017 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2017 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2018 | 3 | |
| 14 | GUCAS at TREC 2011 Microblog Track. | 2011 | 2 |
| 15 | Contextualized PACRR for Complex Answer Retrieval. | 2017 | 2 |
| 16 | 2018 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2017 | 1 |
About Kai Hui
Kai Hui is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Vision and Pattern Recognition and Signal Processing, having authored 25 papers that have together received 310 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Information Retrieval and Search Behavior (6 papers), Natural Language Processing Techniques (5 papers), Expert finding and Q&A systems (4 papers), Biomedical Text Mining and Ontologies (3 papers), Text and Document Classification Technologies (3 papers), Machine Learning in Healthcare (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Artificial Intelligence (239 citations), Information Systems (105 citations), Computer Vision and Pattern Recognition (48 citations), Computer Science Applications (10 citations) and Management Science and Operations Research (22 citations). Kai Hui has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Ben He, Le Sun, Andrew Yates, Cancan Jin, Klaus Berberich, Gerard de Melo, Michael Bendersky, Honglei Zhuang, Xuanhui Wang and Zhen Qin. Their work appears in journals such as Information Retrieval, Separation and Purification Technology, Information Processing & Management, Applied Sciences and International Journal of Data Mining and Bioinformatics.
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.