Chan‐Jin Chung

16 papers and 87 indexed citations i.

About

Chan‐Jin Chung is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chan‐Jin Chung has authored 16 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Science Applications, 5 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chan‐Jin Chung’s work include Teaching and Learning Programming (6 papers), Evolutionary Algorithms and Applications (4 papers) and Autonomous Vehicle Technology and Safety (2 papers). Chan‐Jin Chung is often cited by papers focused on Teaching and Learning Programming (6 papers), Evolutionary Algorithms and Applications (4 papers) and Autonomous Vehicle Technology and Safety (2 papers). Chan‐Jin Chung collaborates with scholars based in United States and India. Chan‐Jin Chung's co-authors include Robert G. Reynolds, Lior Shamir, Thomas M. Burke, Joshua Siegel, Santosh Nair, I‐Hsiang Tseng, Christopher Cartwright and Liping Chen and has published in prestigious journals such as Computers in Industry, International Journal of Pattern Recognition and Artificial Intelligence and International Journal of Artificial Intelligence Tools.

In The Last Decade

Co-authorship network of co-authors of Chan‐Jin Chung i

Fields of papers citing papers by Chan‐Jin Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan‐Jin Chung. 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 Chan‐Jin Chung. The network helps show where Chan‐Jin Chung may publish in the future.

Countries citing papers authored by Chan‐Jin Chung

Since Specialization
Citations

This map shows the geographic impact of Chan‐Jin Chung'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 Chan‐Jin Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan‐Jin Chung 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