Sung-Jung Cho
- Human-Computer Interaction top 1%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Neurology top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Wook ChangByoungduck HanGa Eun NamWon-Chul BangYong Gyu ParkKyungdo HanSeon Mee KimJing Yang
- Topics
- Hand Gesture Recognition Systems (12 papers)Handwritten Text Recognition Techniques (8 papers)Tactile and Sensory Interactions (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of CancerPLoS Medicine
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Sung-Jung Cho
33 papers receiving 647 citations
Peers
Comparison fields: 5 of 107
- Human-Computer Interaction 262
- Computer Vision and Pattern Recognition 175
- Cognitive Neuroscience 128
- Neurology 97
- Control and Systems Engineering 69
Countries citing papers authored by Sung-Jung Cho
This map shows the geographic impact of Sung-Jung Cho'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 Sung-Jung Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Jung Cho more than expected).
Fields of papers citing papers by Sung-Jung Cho
This network shows the impact of papers produced by Sung-Jung Cho. 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 Sung-Jung Cho. The network helps show where Sung-Jung Cho may publish in the future.
Co-authorship network of co-authors of Sung-Jung Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Jung Cho. A scholar is included among the top collaborators of Sung-Jung Cho 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 Sung-Jung Cho. Sung-Jung Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 11 | |
| 5 | 36 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 111 | |
| 9 | 37 | |
| 10 | 21 | |
| 11 | 7 | |
| 12 | 22 | |
| 13 | A 3D Hand-drawn Gesture Input Device Using Fuzzy ARTMAP-based Recognizer | 10 |
| 14 | Hand grip pattern recognition for mobile user interfaces | 53 |
| 15 | 25 | |
| 16 | Two-stage Recognition of Raw Acceleration Signals for 3-D Gesture-Understanding Cell Phones | 27 |
| 17 | 7 | |
| 18 | 23 | |
| 19 | A miniaturized attitude estimation system for a gesture-based input device with fuzzy logic approach | 3 |
| 20 | 26 |
About Sung-Jung Cho
Sung-Jung Cho is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 35 papers that have together received 693 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (12 papers), Handwritten Text Recognition Techniques (8 papers) and Tactile and Sensory Interactions (6 papers). The work is most often cited by research in Human-Computer Interaction (262 citations), Computer Vision and Pattern Recognition (175 citations) and Cognitive Neuroscience (128 citations). Sung-Jung Cho has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Wook Chang, Byoungduck Han, Ga Eun Nam, Won-Chul Bang, Yong Gyu Park, Kyungdo Han, Seon Mee Kim, Jing Yang, Eun-Seok Choi and Kyung Mook Choi. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and PLoS Medicine.
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.