Kangyi Lin

438 total citations · 1 hit paper
9 papers, 207 citations indexed

About

Kangyi Lin is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Kangyi Lin has authored 9 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Kangyi Lin's work include Recommender Systems and Techniques (8 papers), Advanced Graph Neural Networks (3 papers) and Caching and Content Delivery (3 papers). Kangyi Lin is often cited by papers focused on Recommender Systems and Techniques (8 papers), Advanced Graph Neural Networks (3 papers) and Caching and Content Delivery (3 papers). Kangyi Lin collaborates with scholars based in China, Hong Kong and United States. Kangyi Lin's co-authors include Lianghao Xia, Chao Huang, Da Luo, Yuhao Yang, Ben Kao, Erxue Min, Yu Rong, Sophia Ananiadou, Yatao Bian and Junzhou Huang and has published in prestigious journals such as ACM Transactions on Information Systems, The HKU Scholars Hub (University of Hong Kong) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Kangyi Lin

9 papers receiving 203 citations

Hit Papers

Debiased Contrastive Learning for Sequential Recommendation 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Debiased Contrastive Learning for Sequential Recommendation
    2023 78 citations Yuhao Yang, Chao Huang et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kangyi Lin China 6 160 158 57 26 11 9 207
Xinyu Lin China 8 174 1.1× 184 1.2× 75 1.3× 39 1.5× 6 0.5× 17 276
Deqing Yang China 9 177 1.1× 120 0.8× 35 0.6× 28 1.1× 17 1.5× 34 232
Jinbae Im South Korea 4 183 1.1× 177 1.1× 57 1.0× 63 2.4× 14 1.3× 4 245
Chenxu Zhu China 7 155 1.0× 187 1.2× 76 1.3× 40 1.5× 20 1.8× 16 246
Gabriel de Souza Pereira Moreira United States 7 144 0.9× 185 1.2× 47 0.8× 38 1.5× 14 1.3× 18 220
Chenyi Lei China 9 175 1.1× 181 1.1× 103 1.8× 28 1.1× 22 2.0× 18 266
Sehee Chung South Korea 4 181 1.1× 186 1.2× 50 0.9× 66 2.5× 13 1.2× 6 245
Fuyu Lv China 7 134 0.8× 151 1.0× 53 0.9× 33 1.3× 25 2.3× 10 194
Maryam Karimzadehgan United States 8 144 0.9× 206 1.3× 29 0.5× 30 1.2× 15 1.4× 11 240
Jiangxia Cao China 7 238 1.5× 211 1.3× 57 1.0× 44 1.7× 23 2.1× 15 294

Countries citing papers authored by Kangyi Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kangyi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Kangyi Lin. A scholar is included among the top collaborators of Kangyi Lin 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 Kangyi Lin. Kangyi Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Xia, Lianghao, et al.. (2024). DiffMM: Multi-Modal Diffusion Model for Recommendation. The HKU Scholars Hub (University of Hong Kong). 7591–7599. 16 indexed citations
2.
Yang, Yuhao, Lianghao Xia, Da Luo, Kangyi Lin, & Chao Huang. (2024). GraphPro: Graph Pre-training and Prompt Learning for Recommendation. The HKU Scholars Hub (University of Hong Kong). 3690–3699. 8 indexed citations
3.
Qian, Shengsheng, et al.. (2024). Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation. ACM Transactions on Information Systems. 42(6). 1–28. 5 indexed citations
4.
Yang, Yuhao, et al.. (2023). Debiased Contrastive Learning for Sequential Recommendation. arXiv (Cornell University). 1063–1073. 78 indexed citations breakdown →
5.
Min, Erxue, et al.. (2023). Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4661–4672. 4 indexed citations
6.
Xia, Lianghao, et al.. (2023). Automated Self-Supervised Learning for Recommendation. arXiv (Cornell University). 992–1002. 62 indexed citations
7.
Shen, Yanyan, et al.. (2022). RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. ACM Transactions on Information Systems. 41(3). 1–26. 5 indexed citations
8.
Min, Erxue, Yu Rong, Tingyang Xu, et al.. (2022). Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 353–362. 27 indexed citations
9.

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.

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2026