Hyewon Jeong
Impact in
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- Transcranial Magnetic Stimulation Studies
Papers in
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- Advancements in Battery Materials 4
- Advanced battery technologies research 2
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- Machine Learning in Healthcare 3
- Domain Adaptation and Few-Shot Learning 2
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Hansol Kim (1 shared paper)Do Hoon Kim (1 shared paper)Daeyoung Roh (1 shared paper)Jiheon Kim (1 shared paper)Eunho Yang (3 shared papers)Daun Jeong (1 shared paper)Beniamin Zahiri (3 shared papers)Ilsong Choi (1 shared paper)
- Journals
- ACS Energy Letters (2 papers)Frontiers in Psychiatry (1 paper)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Blood (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Hyewon Jeong
20 papers receiving 174 citations
Peers
Comparison fields: 5 of 70
- Neurology 40
- Leadership and Management 5
- Cognitive Neuroscience 38
- Sensory Systems 6
- Research and Theory 1
Countries citing papers authored by Hyewon Jeong
This map shows the geographic impact of Hyewon Jeong'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 Hyewon Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyewon Jeong more than expected).
Fields of papers citing papers by Hyewon Jeong
This network shows the impact of papers produced by Hyewon Jeong. 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 Hyewon Jeong. The network helps show where Hyewon Jeong may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyewon Jeong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 56 | |
| 2 | 2017 | 17 | |
| 3 | 2014 | 16 | |
| 4 | 2019 | 13 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2024 | 9 | |
| 8 | 2025 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2013 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2011 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 2 | |
| 17 | A Case of Krabbe Disease Confirmed by Identification of Mutations in the Galactocerbroside beta-galactosidase Gene (GALC). | 2004 | 1 |
| 18 | 2023 | 1 | |
| 19 | Cost-effective Interactive Attention Learning with Neural Attention Process | 2020 | 1 |
| 20 | 2025 | 1 |
About Hyewon Jeong
Hyewon Jeong is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Molecular Biology and Clinical Psychology, having authored 26 papers that have together received 182 indexed citations. Recurring topics across this work include Advancements in Battery Materials (4 papers), Machine Learning in Healthcare (3 papers), Semiconductor materials and interfaces (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced battery technologies research (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Simulation-Based Education in Healthcare (1 paper) and Healthcare Education and Workforce Issues (1 paper). The work is most often cited by research in Neurology (40 citations), Leadership and Management (5 citations), Cognitive Neuroscience (38 citations), Sensory Systems (6 citations) and Research and Theory (1 citation). Hyewon Jeong has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hansol Kim, Do Hoon Kim, Daeyoung Roh, Jiheon Kim, Eunho Yang, Daun Jeong, Beniamin Zahiri, Ilsong Choi, Jae Eun Ahn and Kyung Sue Hong. Their work appears in journals such as ACS Energy Letters, Frontiers in Psychiatry, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Blood and Journal of Medical Internet Research.
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.