Jaehak Yu
Impact in
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- Artificial Intelligence in Healthcare
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Network Security and Intrusion Detection 8
- IoT and Edge/Fog Computing 5
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- Internet Traffic Analysis and Secure E-voting 6
- Semantic Web and Ontologies 3
- Co-authors
- Hansung Lee (10 shared papers)Cheol‐Sig Pyo (14 shared papers)Daihee Park (6 shared papers)Soonhyun Kwon (11 shared papers)Hyo‐Chan Bang (5 shared papers)Se Jin Park (4 shared papers)Myung‐Sup Kim (3 shared papers)Kang Hee Cho (3 shared papers)
- Journals
- Multimedia Tools and Applications (3 papers)Applied Sciences (3 papers)Computer Networks (1 paper)Journal of Systems Architecture (1 paper)Computer Communications (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jaehak Yu
34 papers receiving 647 citations
Peers
Comparison fields: 5 of 85
- Health Information Management 121
- Neurology 97
- Computer Networks and Communications 253
- Signal Processing 109
- Health Informatics 10
Countries citing papers authored by Jaehak Yu
This map shows the geographic impact of Jaehak Yu'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 Jaehak Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaehak Yu more than expected).
Fields of papers citing papers by Jaehak Yu
This network shows the impact of papers produced by Jaehak Yu. 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 Jaehak Yu. The network helps show where Jaehak Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaehak Yu, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 92 | |
| 2 | 2008 | 92 | |
| 3 | 2020 | 72 | |
| 4 | 2022 | 55 | |
| 5 | 2015 | 48 | |
| 6 | 2010 | 43 | |
| 7 | 2013 | 41 | |
| 8 | 2010 | 36 | |
| 9 | 2020 | 35 | |
| 10 | 2021 | 35 | |
| 11 | 2015 | 27 | |
| 12 | 2016 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2012 | 11 | |
| 15 | 2013 | 10 | |
| 16 | 2017 | 10 | |
| 17 | 2022 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2018 | 5 | |
| 20 | 2020 | 5 |
About Jaehak Yu
Jaehak Yu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition and Epidemiology, having authored 40 papers that have together received 699 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Acute Ischemic Stroke Management (6 papers), IoT and Edge/Fog Computing (5 papers), Stroke Rehabilitation and Recovery (5 papers), Innovation in Digital Healthcare Systems (4 papers), Semantic Web and Ontologies (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Health Information Management (121 citations), Neurology (97 citations), Computer Networks and Communications (253 citations), Signal Processing (109 citations) and Health Informatics (10 citations). Jaehak Yu has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hansung Lee, Cheol‐Sig Pyo, Daihee Park, Soonhyun Kwon, Hyo‐Chan Bang, Se Jin Park, Myung‐Sup Kim, Kang Hee Cho, Yang Sun Lee and Chee Meng Benjamin Ho. Their work appears in journals such as Multimedia Tools and Applications, Applied Sciences, Computer Networks, Journal of Systems Architecture and Computer Communications.
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.