Min‐Yen Kan

11.4k total citations · 2 hit papers
226 papers, 6.0k citations indexed

About

Min‐Yen Kan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Min‐Yen Kan has authored 226 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Artificial Intelligence, 51 papers in Information Systems and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min‐Yen Kan's work include Topic Modeling (120 papers), Natural Language Processing Techniques (95 papers) and Advanced Text Analysis Techniques (40 papers). Min‐Yen Kan is often cited by papers focused on Topic Modeling (120 papers), Natural Language Processing Techniques (95 papers) and Advanced Text Analysis Techniques (40 papers). Min‐Yen Kan collaborates with scholars based in Singapore, United States and China. Min‐Yen Kan's co-authors include Xiangnan He, Tat‐Seng Chua, Kazunari Sugiyama, Ziheng Lin, Hanwang Zhang, Hwee Tou Ng, Su Nam Kim, Tao Chen, Judith L. Klavans and Hang Cui and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Communications of the ACM.

In The Last Decade

Min‐Yen Kan

209 papers receiving 5.6k citations

Hit Papers

Fast Matrix Factorization for Online Recommendation with ... 2015 2026 2018 2022 2016 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min‐Yen Kan Singapore 38 4.6k 2.5k 900 495 407 226 6.0k
Donald Metzler United States 33 3.2k 0.7× 2.6k 1.1× 932 1.0× 474 1.0× 192 0.5× 101 4.7k
Evgeniy Gabrilovich United States 33 6.0k 1.3× 2.3k 0.9× 762 0.8× 905 1.8× 553 1.4× 83 7.8k
Wen-tau Yih United States 42 6.8k 1.5× 1.4k 0.6× 1.2k 1.3× 411 0.8× 470 1.2× 91 7.6k
Jiafeng Guo China 36 3.8k 0.8× 1.9k 0.8× 955 1.1× 435 0.9× 152 0.4× 198 5.3k
Jenny Rose Finkel United States 14 6.0k 1.3× 1.3k 0.5× 804 0.9× 502 1.0× 799 2.0× 18 7.3k
Patrick Pantel United States 33 5.3k 1.1× 1.4k 0.6× 490 0.5× 401 0.8× 480 1.2× 72 6.2k
Luo Si United States 45 4.0k 0.9× 2.2k 0.9× 1.5k 1.7× 431 0.9× 213 0.5× 263 6.6k
Mihai Surdeanu United States 30 7.3k 1.6× 1.6k 0.6× 770 0.9× 476 1.0× 957 2.4× 131 8.6k
Duyu Tang China 30 6.3k 1.4× 2.2k 0.9× 598 0.7× 252 0.5× 333 0.8× 59 7.8k
Jaana Kekäläinen Finland 13 2.4k 0.5× 2.6k 1.1× 1.1k 1.2× 492 1.0× 169 0.4× 37 4.4k

Countries citing papers authored by Min‐Yen Kan

Since Specialization
Citations

This map shows the geographic impact of Min‐Yen Kan'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 Min‐Yen Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Yen Kan more than expected).

Fields of papers citing papers by Min‐Yen Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Yen Kan. 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 Min‐Yen Kan. The network helps show where Min‐Yen Kan may publish in the future.

Co-authorship network of co-authors of Min‐Yen Kan

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

All Works

20 of 20 papers shown
1.
Lu, Xinyuan, et al.. (2025). TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. 4323–4339. 1 indexed citations
4.
Luu, Anh Tuan, et al.. (2024). Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models. 20370–20401. 2 indexed citations
5.
Zhu, Jieming, et al.. (2024). Discrete Semantic Tokenization for Deep CTR Prediction. 919–922. 3 indexed citations
6.
Jaidka, Kokil, Tsuhan Chen, Simon Chesterman, et al.. (2024). Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy. Digital Government Research and Practice. 6(1). 1–15. 7 indexed citations
7.
Фу, Лин, et al.. (2024). The aqueous humour dynamics in primary angle closure disease: a computational study. British Journal of Ophthalmology. 109(3). 333–339.
8.
Pan, Liangming, et al.. (2023). Investigating Zero- and Few-shot Generalization in Fact Verification. 511–524. 2 indexed citations
9.
Zheng, Yi, Panpan Ye, Yue Zhou, et al.. (2021). LPS-Induced Inflammation Affects Midazolam Clearance in Juvenile Mice in an Age-Dependent Manner. Journal of Inflammation Research. Volume 14. 3697–3706. 3 indexed citations
10.
Xu, Yuan, Yanhong Zhang, Qiuping Zhang, et al.. (2021). Off‐label use of letrozole in Chinese short pubertal boys: Effectiveness, safety, and exposure–response analysis. British Journal of Clinical Pharmacology. 87(9). 3599–3607. 1 indexed citations
11.
Pan, Liangming, Jingjing Chen, Shaoteng Liu, et al.. (2020). A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes. IEEE Transactions on Multimedia. 23. 4491–4501.
12.
Zhou, Yue, Bin Du, Min‐Yen Kan, et al.. (2020). Drug Elimination Alteration in Acute Lymphoblastic Leukemia Mediated by Renal Transporters and Glomerular Filtration. Pharmaceutical Research. 37(8). 158–158. 7 indexed citations
13.
Wang, Kai, Ronghua Wang, Yue‐E Wu, et al.. (2020). Developmental population pharmacokinetics–pharmacodynamics and dosing optimization of cefoperazone in children. Journal of Antimicrobial Chemotherapy. 75(7). 1917–1924. 7 indexed citations
14.
Khan, Muhammad Wasim, Yakun Wang, Yue‐E Wu, et al.. (2020). Population pharmacokinetics and dose optimization of ceftriaxone for children with community-acquired pneumonia. European Journal of Clinical Pharmacology. 76(11). 1547–1556. 8 indexed citations
15.
Li, Qian, Kai Wang, Haiyan Shi, et al.. (2019). <p>Developmental Pharmacogenetics of SLCO2B1 on Montelukast Pharmacokinetics in Chinese Children</p>. Drug Design Development and Therapy. Volume 13. 4405–4411. 3 indexed citations
16.
Kan, Min‐Yen, et al.. (2013). Mining Scientific Terms and their Definitions: A Study of the ACL Anthology. 780–790. 22 indexed citations
17.
Wang, Aobo, et al.. (2013). Chinese Informal Word Normalization: an Experimental Study. International Joint Conference on Natural Language Processing. 127–135. 9 indexed citations
18.
Kan, Min‐Yen, et al.. (2012). Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations. National University of Singapore. 2109–2124. 7 indexed citations
19.
Theng, Yin‐Leng, et al.. (2008). An empirical study of students' perceptions on e-learning systems. National University of Singapore. 245–249. 5 indexed citations
20.
Cui, Hang, et al.. (2004). National University of Singapore at the TREC 13 Question Answering Main Task.. Text REtrieval Conference. 26 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026