Chin-Yew Lin

102 papers and 6.0k indexed citations i.

About

Chin-Yew Lin is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chin-Yew Lin has authored 102 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 30 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chin-Yew Lin’s work include Topic Modeling (78 papers), Natural Language Processing Techniques (59 papers) and Advanced Text Analysis Techniques (26 papers). Chin-Yew Lin is often cited by papers focused on Topic Modeling (78 papers), Natural Language Processing Techniques (59 papers) and Advanced Text Analysis Techniques (26 papers). Chin-Yew Lin collaborates with scholars based in China, United States and United Kingdom. Chin-Yew Lin's co-authors include Eduard Hovy, Franz Josef Och, Yunbo Cao, Shuming Shi, Ming Zhou, Xiaojiang Huang, Gang Luo, Zaiqing Nie, Ulf Hermjakob and Jian Yin and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Information Processing & Management and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Chin-Yew Lin i

Fields of papers citing papers by Chin-Yew Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin-Yew 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 Chin-Yew Lin. The network helps show where Chin-Yew Lin may publish in the future.

Countries citing papers authored by Chin-Yew Lin

Since Specialization
Citations

This map shows the geographic impact of Chin-Yew 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 Chin-Yew Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin-Yew Lin more than expected).

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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2025