Kunfeng Lai
Impact in
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- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
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- Web Data Mining and Analysis
- Recommender Systems and Techniques
Papers in
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- Topic Modeling 5
- Advanced Text Analysis Techniques 4
- Natural Language Processing Techniques 3
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- Recommender Systems and Techniques 2
- Web Data Mining and Analysis 2
- Co-authors
- Di Niu (6 shared papers)Yu Xu (5 shared papers)Bang Liu (2 shared papers)Linglong Kong (1 shared paper)Chenglin Wu (1 shared paper)Dong Liu (1 shared paper)Yancheng He (2 shared papers)Liang Zhang (1 shared paper)
In The Last Decade
Kunfeng Lai
10 papers receiving 118 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 87
- Information Systems 44
- Statistical and Nonlinear Physics 17
- Computer Vision and Pattern Recognition 25
- Health Informatics 1
Countries citing papers authored by Kunfeng Lai
This map shows the geographic impact of Kunfeng Lai'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 Kunfeng Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunfeng Lai more than expected).
Fields of papers citing papers by Kunfeng Lai
This network shows the impact of papers produced by Kunfeng Lai. 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 Kunfeng Lai. The network helps show where Kunfeng Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunfeng Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 29 | |
| 2 | 2018 | 29 | |
| 3 | 2019 | 14 | |
| 4 | Matching Long Text Documents via Graph Convolutional Networks | 2018 | 12 |
| 5 | 2016 | 9 | |
| 6 | 2017 | 7 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 7 | |
| 9 | 2025 | 5 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 0 |
About Kunfeng Lai
Kunfeng Lai is a scholar working on Artificial Intelligence, Information Systems, Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 120 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Text Analysis Techniques (4 papers), Ocular Surface and Contact Lens (3 papers), Natural Language Processing Techniques (3 papers), Complex Network Analysis Techniques (2 papers), Corneal Surgery and Treatments (2 papers), Recommender Systems and Techniques (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (87 citations), Information Systems (44 citations), Statistical and Nonlinear Physics (17 citations), Computer Vision and Pattern Recognition (25 citations) and Health Informatics (1 citation). Kunfeng Lai has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Di Niu, Yu Xu, Bang Liu, Linglong Kong, Chenglin Wu, Dong Liu, Yancheng He, Liang Zhang, Ting Zhang and Yu Xu. Their work appears in journals such as Neural Networks, ACM Transactions on Knowledge Discovery from Data, Eye and Vision, npj Digital Medicine and Frontiers in Cell and Developmental Biology.
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.