Hyeji Kim
- Cognitive Neuroscience top 10%
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- Catalytic C–H Functionalization Methods 5
- Sulfur-Based Synthesis Techniques 5
- Catalytic Cross-Coupling Reactions 4
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- Social Robot Interaction and HRI 4
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- AI in Service Interactions 4
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- Graphene research and applications 4
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- Graphene and Nanomaterials Applications 3
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- Advanced Wireless Communication Techniques 3
- Co-authors
- Shinya YamamotoOkihide HikosakaChong‐Min KyungJeong‐Hun SohnHyunik ShinJongwan JungHee‐Seung LeeNguyen Huu Phan
- Journals
- Organic Letters (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- South KoreaUnited StatesSlovakia
In The Last Decade
Hyeji Kim
34 papers receiving 393 citations
Peers
Comparison fields: 5 of 85
- Computational Mathematics 8
- Cognitive Neuroscience 108
- Computer Vision and Pattern Recognition 85
- Organic Chemistry 71
- Cellular and Molecular Neuroscience 40
Countries citing papers authored by Hyeji Kim
This map shows the geographic impact of Hyeji Kim'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 Hyeji Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyeji Kim more than expected).
Fields of papers citing papers by Hyeji Kim
This network shows the impact of papers produced by Hyeji Kim. 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 Hyeji Kim. The network helps show where Hyeji Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyeji Kim, 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 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 2 | |
| 14 | 2018 | 12 | |
| 15 | 2016 | 7 | |
| 16 | 2016 | 20 | |
| 17 | 2015 | 9 | |
| 18 | 2013 | 99 | |
| 19 | 2013 | 7 | |
| 20 | 2010 | 5 |
About Hyeji Kim
Hyeji Kim is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications, having authored 37 papers that have together received 400 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (5 papers), Sulfur-Based Synthesis Techniques (5 papers), Catalytic Cross-Coupling Reactions (4 papers), Social Robot Interaction and HRI (4 papers), AI in Service Interactions (4 papers), Graphene research and applications (4 papers), Graphene and Nanomaterials Applications (3 papers) and Advanced Wireless Communication Techniques (3 papers). The work is most often cited by research in Computational Mathematics (8 citations), Cognitive Neuroscience (108 citations), Computer Vision and Pattern Recognition (85 citations), Organic Chemistry (71 citations) and Cellular and Molecular Neuroscience (40 citations). Hyeji Kim has collaborated with scholars based in South Korea, United States and Slovakia. Frequent co-authors include Shinya Yamamoto, Okihide Hikosaka, Chong‐Min Kyung, Jeong‐Hun Sohn, Hyunik Shin, Jongwan Jung, Hee‐Seung Lee, Nguyen Huu Phan, Won-Ju Cho and Jihong Lee. Their work appears in journals such as Organic Letters, IEEE Journal on Selected Areas in Communications, Journal of Neuroscience, Nature Communications and IEEE Transactions on Circuits & Systems II Express Briefs.
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.