Ji‐In Kim
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Artificial Intelligence in Healthcare
Papers in
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- Caching and Content Delivery 4
- Mobile Ad Hoc Networks 3
- Advanced Authentication Protocols Security 2
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- IPv6, Mobility, Handover, Networks, Security 7
- Co-authors
- Goo‐Rak Kwon (9 shared papers)Debesh Jha (3 shared papers)Seok‐Joo Koh (8 shared papers)Chun‐Su Park (2 shared papers)Masha V. Poyurovsky (2 shared papers)Kwang‐Hee Son (2 shared papers)Xiao‐Jiang Feng (2 shared papers)Kevin G. Liu (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)ETRI Journal (1 paper)Journal of Neuroendocrinology (1 paper)Journal of Affective Disorders (1 paper)Electronics (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Ji‐In Kim
37 papers receiving 506 citations
Peers
Comparison fields: 5 of 126
- Neurology 116
- Health Information Management 37
- Leadership and Management 9
- Psychiatry and Mental health 56
- Artificial Intelligence 86
Countries citing papers authored by Ji‐In Kim
This map shows the geographic impact of Ji‐In 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 Ji‐In Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐In Kim more than expected).
Fields of papers citing papers by Ji‐In Kim
This network shows the impact of papers produced by Ji‐In 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 Ji‐In Kim. The network helps show where Ji‐In Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji‐In 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
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 80 | |
| 2 | 2021 | 53 | |
| 3 | 2017 | 52 | |
| 4 | 2021 | 39 | |
| 5 | 2007 | 37 | |
| 6 | 2022 | 30 | |
| 7 | 2020 | 22 | |
| 8 | B-PMIPv6: PMIPv6 with bicasting for soft handover | 2009 | 20 |
| 9 | 2021 | 18 | |
| 10 | 2013 | 18 | |
| 11 | 2015 | 15 | |
| 12 | 2009 | 14 | |
| 13 | 1998 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2022 | 10 | |
| 17 | 2007 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2015 | 7 | |
| 20 | 2019 | 6 |
About Ji‐In Kim
Ji‐In Kim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology, Neurology and Artificial Intelligence, having authored 46 papers that have together received 530 indexed citations. Recurring topics across this work include IPv6, Mobility, Handover, Networks, Security (7 papers), Brain Tumor Detection and Classification (6 papers), Caching and Content Delivery (4 papers), Mobile Ad Hoc Networks (3 papers), Medical Image Segmentation Techniques (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Advanced Authentication Protocols Security (2 papers) and RFID technology advancements (2 papers). The work is most often cited by research in Neurology (116 citations), Health Information Management (37 citations), Leadership and Management (9 citations), Psychiatry and Mental health (56 citations) and Artificial Intelligence (86 citations). Ji‐In Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Goo‐Rak Kwon, Debesh Jha, Seok‐Joo Koh, Chun‐Su Park, Masha V. Poyurovsky, Kwang‐Hee Son, Xiao‐Jiang Feng, Kevin G. Liu, Jeegar Patel and Anthony M. Barsotti. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, ETRI Journal, Journal of Neuroendocrinology, Journal of Affective Disorders and Electronics.
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.