Sungjun Hong
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Aerospace Engineering
- Co-authors
- Euntai KimHeesung LeeJisu KimJeonghyun BaekImran Fareed NizamiKwanghyun KimKar‐Ann TohYu Huang
- Topics
- Gait Recognition and Analysis (24 papers)Video Surveillance and Tracking Methods (22 papers)Human Pose and Action Recognition (15 papers)
- Journals
- IEEE AccessSensorsNeurocomputing
- Partner nations
- South KoreaUnited StatesPakistan
In The Last Decade
Sungjun Hong
43 papers receiving 389 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 290
- Biomedical Engineering 168
- Artificial Intelligence 75
- Human-Computer Interaction 69
- Aerospace Engineering 43
Countries citing papers authored by Sungjun Hong
This map shows the geographic impact of Sungjun 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 Sungjun Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungjun Hong more than expected).
Fields of papers citing papers by Sungjun Hong
This network shows the impact of papers produced by Sungjun 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 Sungjun Hong. The network helps show where Sungjun Hong may publish in the future.
Co-authorship network of co-authors of Sungjun Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Sungjun Hong. A scholar is included among the top collaborators of Sungjun 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 Sungjun Hong. Sungjun 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 | 2 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Fusion of multiple gait cycles for human identification | 2 |
| 12 | 20 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 31 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | Camera Calibration using the TSK fuzzy system | 1 |
| 20 | 5 |
About Sungjun Hong
Sungjun Hong is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 45 papers that have together received 413 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (24 papers), Video Surveillance and Tracking Methods (22 papers) and Human Pose and Action Recognition (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Human-Computer Interaction (69 citations) and Biomedical Engineering (168 citations). Sungjun Hong has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Euntai Kim, Heesung Lee, Jisu Kim, Jeonghyun Baek, Imran Fareed Nizami, Kwanghyun Kim, Kar‐Ann Toh, Yu Huang, R.J. Kuo and Éric Gilbert. Their work appears in journals such as IEEE Access, Sensors and Neurocomputing.
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.