Jaesung Hong
- Biomedical Engineering top 5%
- Surgery top 5%
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 10%
- Epidemiology
- Co-authors
- Makoto HashizumeHyunseok ChoiKozo KonishiNozomu MatsumotoNobuhiko HataTakeyoshi DohiShizuo KomuneMorimasa Tomikawa
- Topics
- Soft Robotics and Applications (28 papers)Surgical Simulation and Training (26 papers)Augmented Reality Applications (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Orthopaedics and Related ResearchIEEE Access
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Jaesung Hong
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Biomedical Engineering 689
- Surgery 662
- Computer Vision and Pattern Recognition 503
- Aerospace Engineering 155
- Epidemiology 85
Countries citing papers authored by Jaesung Hong
This map shows the geographic impact of Jaesung Hong'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 Jaesung Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaesung Hong more than expected).
Fields of papers citing papers by Jaesung Hong
This network shows the impact of papers produced by Jaesung Hong. 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 Jaesung Hong. The network helps show where Jaesung Hong may publish in the future.
Co-authorship network of co-authors of Jaesung Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Jaesung Hong. A scholar is included among the top collaborators of Jaesung Hong 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 Jaesung Hong. Jaesung Hong 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 29 | |
| 8 | 15 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 29 | |
| 13 | Development of a Surgical Navigation System using Augmented Reality | 0 |
| 14 | 26 | |
| 15 | 12 | |
| 16 | 32 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | Automatic Liver Tumor Detection from CT | 26 |
| 20 | Computer-Aided Diagnostic System Based on Liver CT Image. | 2 |
About Jaesung Hong
Jaesung Hong is a scholar working on Computer Vision and Pattern Recognition, Otorhinolaryngology and Biomedical Engineering, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (28 papers), Surgical Simulation and Training (26 papers) and Augmented Reality Applications (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (503 citations), Biomedical Engineering (689 citations) and Surgery (662 citations). Jaesung Hong has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Makoto Hashizume, Hyunseok Choi, Kozo Konishi, Nozomu Matsumoto, Nobuhiko Hata, Takeyoshi Dohi, Shizuo Komune, Morimasa Tomikawa, Ken Masamune and Masamichi Oka. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Orthopaedics and Related Research and IEEE Access.
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.