Seok-Ju Chun
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Co-authors
- Seok‐Lyong LeeChin‐Wan ChungJu-Hong LeeDeok‐Hwan KimJungwoo RyooJoon Hyuk ChoiYong-Ju LeeSangho Park
- Topics
- Education and Learning Interventions (10 papers)Educational Systems and Policies (6 papers)Educational Research and Pedagogy (6 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Seok-Ju Chun
20 papers receiving 196 citations
Peers
Comparison fields: 5 of 67
- Signal Processing 108
- Computer Vision and Pattern Recognition 71
- Artificial Intelligence 63
- Computer Networks and Communications 50
- Information Systems 33
Countries citing papers authored by Seok-Ju Chun
This map shows the geographic impact of Seok-Ju Chun'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 Seok-Ju Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seok-Ju Chun more than expected).
Fields of papers citing papers by Seok-Ju Chun
This network shows the impact of papers produced by Seok-Ju Chun. 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 Seok-Ju Chun. The network helps show where Seok-Ju Chun may publish in the future.
Co-authorship network of co-authors of Seok-Ju Chun
This figure shows the co-authorship network connecting the top 25 collaborators of Seok-Ju Chun. A scholar is included among the top collaborators of Seok-Ju Chun 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 Seok-Ju Chun. Seok-Ju Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | Pedagogical effectiveness of algorithm visualizations in teaching the data structures and algorithms in elementary schools | 0 |
| 16 | 14 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 103 | |
| 20 | Dynamic Update Cube for Range-sum Queries | 20 |
About Seok-Ju Chun
Seok-Ju Chun is a scholar working on Human Factors and Ergonomics, Neuropsychology and Physiological Psychology and Information Systems, having authored 26 papers that have together received 217 indexed citations. Recurring topics across this work include Education and Learning Interventions (10 papers), Educational Systems and Policies (6 papers) and Educational Research and Pedagogy (6 papers). The work is most often cited by research in Signal Processing (108 citations), Computer Vision and Pattern Recognition (71 citations) and Computer Science Applications (17 citations). Seok-Ju Chun has collaborated with scholars based in South Korea and United States. Frequent co-authors include Seok‐Lyong Lee, Chin‐Wan Chung, Ju-Hong Lee, Deok‐Hwan Kim, Jungwoo Ryoo, Joon Hyuk Choi, Yong-Ju Lee, Sangho Park and Jun‐Ki Min. Their work appears in journals such as Expert Systems with Applications, Decision Support Systems and Applied Sciences.
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.