Kangyi Lin
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Topic Modeling
- Sentiment Analysis and Opinion Mining
Papers in
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- Recommender Systems and Techniques 8
- Economic Growth and Development 1
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- Advanced Graph Neural Networks 3
- Topic Modeling 2
- Co-authors
- Chao Huang (4 shared papers)Lianghao Xia (4 shared papers)Da Luo (4 shared papers)Yuhao Yang (2 shared papers)Ben Kao (1 shared paper)Wei Wei (1 shared paper)Erxue Min (2 shared papers)Tingyang Xu (1 shared paper)
- Journals
- ACM Transactions on Information Systems (2 papers)Modern Economy (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (1 paper)The HKU Scholars Hub (University of Hong Kong) (2 papers)
In The Last Decade
Kangyi Lin
9 papers receiving 232 citations
Kangyi Lin's Hit Papers
Peers
Comparison fields: 5 of 38
- Information Systems 174
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 64
- Management Science and Operations Research 30
- Signal Processing 13
Countries citing papers authored by Kangyi Lin
This map shows the geographic impact of Kangyi Lin'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 Kangyi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kangyi Lin more than expected).
Fields of papers citing papers by Kangyi Lin
This network shows the impact of papers produced by Kangyi Lin. 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 Kangyi Lin. The network helps show where Kangyi Lin may publish in the future.
Co-authors
The 19 scholars most cited alongside Kangyi Lin, 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 | Debiased Contrastive Learning for Sequential Recommendation Hit paper breakdown → | 2023 | 87 |
| 2 | 2023 | 65 | |
| 3 | 2022 | 29 | |
| 4 | 2024 | 23 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 6 | |
| 7 | 2024 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2019 | 2 |
About Kangyi Lin
Kangyi Lin is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 9 papers that have together received 234 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (8 papers), Advanced Graph Neural Networks (3 papers), Caching and Content Delivery (3 papers), Advanced Bandit Algorithms Research (2 papers), Topic Modeling (2 papers), Mental Health via Writing (1 paper), Economic Growth and Development (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Information Systems (174 citations), Artificial Intelligence (177 citations), Computer Vision and Pattern Recognition (64 citations), Management Science and Operations Research (30 citations) and Signal Processing (13 citations). Kangyi Lin has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Chao Huang, Lianghao Xia, Da Luo, Yuhao Yang, Ben Kao, Wei Wei, Erxue Min, Tingyang Xu, Yatao Bian and Junzhou Huang. Their work appears in journals such as ACM Transactions on Information Systems, Modern Economy, Rare & Special e-Zone (The Hong Kong University of Science and Technology), Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval and The HKU Scholars Hub (University of Hong Kong).
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.