Jaesung Hong
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- Augmented Reality Applications 24
- Biomedical Engineering top 5%
- Soft Robotics and Applications 28
- Anatomy and Medical Technology 14
- Surgery top 5%
- Surgical Simulation and Training 26
- Minimally Invasive Surgical Techniques 6
- Otorhinolaryngology top 10%
- Ear Surgery and Otitis Media 5
- Human-Computer Interaction top 10%
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- Robotics and Sensor-Based Localization 15
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- Bone Tumor Diagnosis and Treatments 5
- Co-authors
- Makoto HashizumeHyunseok ChoiKozo KonishiNozomu MatsumotoNobuhiko HataTakeyoshi DohiShizuo KomuneMorimasa Tomikawa
- Journals
- SHILAP Revista de lepidopterología (3 papers)Clinical Orthopaedics and Related Research (1 paper)IEEE Access (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Jaesung Hong
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 503
- Biomedical Engineering 689
- Surgery 662
- Otorhinolaryngology 51
- Human-Computer Interaction 54
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
The 25 scholars most cited alongside Jaesung Hong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 8 | |
| 7 | 2019 | 29 | |
| 8 | 2019 | 15 | |
| 9 | 2018 | 11 | |
| 10 | 2016 | 9 | |
| 11 | 2015 | 11 | |
| 12 | 2014 | 29 | |
| 13 | Development of a Surgical Navigation System using Augmented Reality | 2013 | 0 |
| 14 | 2013 | 26 | |
| 15 | 2011 | 12 | |
| 16 | 2010 | 32 | |
| 17 | 2008 | 2 | |
| 18 | 2005 | 0 | |
| 19 | Automatic Liver Tumor Detection from CT | 2001 | 26 |
| 20 | Computer-Aided Diagnostic System Based on Liver CT Image. | 2000 | 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), Augmented Reality Applications (24 papers), Robotics and Sensor-Based Localization (15 papers), Anatomy and Medical Technology (14 papers), Minimally Invasive Surgical Techniques (6 papers), Ear Surgery and Otitis Media (5 papers) and Bone Tumor Diagnosis and Treatments (5 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.