Seungeun Chung

About

Seungeun Chung is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Seungeun Chung has authored 10 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Experimental and Cognitive Psychology and 3 papers in Signal Processing. Recurrent topics in Seungeun Chung’s work include Emotion and Mood Recognition (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Speech and Audio Processing (3 papers). Seungeun Chung is often cited by papers focused on Emotion and Mood Recognition (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Speech and Audio Processing (3 papers). Seungeun Chung collaborates with scholars based in South Korea, Hong Kong and United States. Seungeun Chung's co-authors include C.K.M. Lee, Chun‐Hsien Chen, Kam K.H. Ng, H.C.W. Lau, C.V. Morr, J. J. JEN, Chi Yoon Jeong, J. Lim, Kwan Moon Sin and John H. Xin and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Seungeun Chung i

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Fields of papers citing papers by Seungeun Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seungeun Chung

Since Specialization

Citations

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