Jaeson Jang
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Face Recognition and Perception
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- Glioma Diagnosis and Treatment
Papers in
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- Neural dynamics and brain function 6
- Visual perception and processing mechanisms 6
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- Retinal Development and Disorders 4
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Se‐Bum Paik (10 shared papers)Min Song (5 shared papers)Hyun Yong Koh (2 shared papers)Jeong Ho Lee (2 shared papers)Dong Seok Kim (2 shared papers)Hoon‐Chul Kang (1 shared paper)Minho Shong (1 shared paper)Jinju Han (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Cell Reports (2 papers)Nature Medicine (1 paper)Nature Communications (1 paper)Journal of Neural Engineering (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Jaeson Jang
11 papers receiving 313 citations
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 145
- Genetics 54
- Statistics and Probability 31
- Cellular and Molecular Neuroscience 54
- Psychiatry and Mental health 43
Countries citing papers authored by Jaeson Jang
This map shows the geographic impact of Jaeson Jang'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 Jaeson Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaeson Jang more than expected).
Fields of papers citing papers by Jaeson Jang
This network shows the impact of papers produced by Jaeson Jang. 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 Jaeson Jang. The network helps show where Jaeson Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaeson Jang, 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 | 2018 | 90 | |
| 2 | 2021 | 45 | |
| 3 | 2021 | 36 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 30 | |
| 6 | 2022 | 24 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 15 | |
| 9 | 2020 | 13 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 3 | |
| 12 | 2025 | 0 |
About Jaeson Jang
Jaeson Jang is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 12 papers that have together received 316 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (6 papers), Retinal Development and Disorders (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Neurobiology and Insect Physiology Research (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Cognitive Neuroscience (145 citations), Genetics (54 citations), Statistics and Probability (31 citations), Cellular and Molecular Neuroscience (54 citations) and Psychiatry and Mental health (43 citations). Jaeson Jang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Se‐Bum Paik, Min Song, Hyun Yong Koh, Jeong Ho Lee, Dong Seok Kim, Hoon‐Chul Kang, Minho Shong, Jinju Han, Jae Seok Lim and Hyunjoo J. Lee. Their work appears in journals such as Journal of Neuroscience, Cell Reports, Nature Medicine, Nature Communications and Journal of Neural Engineering.
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.