Yeon-Chang Lee

28 papers and 239 indexed citations i.

About

Yeon-Chang Lee is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yeon-Chang Lee has authored 28 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yeon-Chang Lee’s work include Advanced Graph Neural Networks (16 papers), Recommender Systems and Techniques (15 papers) and Complex Network Analysis Techniques (5 papers). Yeon-Chang Lee is often cited by papers focused on Advanced Graph Neural Networks (16 papers), Recommender Systems and Techniques (15 papers) and Complex Network Analysis Techniques (5 papers). Yeon-Chang Lee collaborates with scholars based in South Korea, United States and China. Yeon-Chang Lee's co-authors include Sang‐Wook Kim, Dongwon Lee, Jongwuk Lee, Wonseok Hwang, Jeongwhan Choi, Noseong Park, Kijung Shin, Jaeho Choi, Kyungsik Han and Srijan Kumar and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Yeon-Chang Lee i

Fields of papers citing papers by Yeon-Chang Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeon-Chang Lee. 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 Yeon-Chang Lee. The network helps show where Yeon-Chang Lee may publish in the future.

Countries citing papers authored by Yeon-Chang Lee

Since Specialization
Citations

This map shows the geographic impact of Yeon-Chang Lee'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 Yeon-Chang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeon-Chang Lee 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