Se-Han Kim
Impact in
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- Digital Transformation in Industry
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- IoT and Edge/Fog Computing
- Software System Performance and Reliability
Papers in
- Food Science 10
- Food Quality and Safety Studies 5
- Food Supply Chain Traceability 5
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- IoT and Edge/Fog Computing 4
- Co-authors
- Dae‐Heon Park (11 shared papers)Hyeon Park (9 shared papers)Changsun Shin (1 shared paper)Meonghun Lee (1 shared paper)Taehong Kim (4 shared papers)Thanh-Tung Nguyen (1 shared paper)Young Hoon Kwak (5 shared papers)Jung-Ho Huh (4 shared papers)
- Journals
- IEEE Access (3 papers)Sensors (3 papers)Electronics (1 paper)Computers and Electronics in Agriculture (1 paper)Agronomy (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Se-Han Kim
33 papers receiving 610 citations
Peers
Comparison fields: 5 of 93
- Industrial and Manufacturing Engineering 140
- Computer Networks and Communications 212
- Information Systems 144
- Plant Science 208
- Building and Construction 60
Countries citing papers authored by Se-Han Kim
This map shows the geographic impact of Se-Han 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 Se-Han Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Se-Han Kim more than expected).
Fields of papers citing papers by Se-Han Kim
This network shows the impact of papers produced by Se-Han 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 Se-Han Kim. The network helps show where Se-Han Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Se-Han 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 118 | |
| 2 | 2020 | 102 | |
| 3 | 2022 | 74 | |
| 4 | 2018 | 72 | |
| 5 | 2017 | 45 | |
| 6 | 2020 | 40 | |
| 7 | 2021 | 27 | |
| 8 | 2018 | 26 | |
| 9 | 2022 | 18 | |
| 10 | 2019 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 10 | |
| 15 | In vitro and In vivo Effects of Gelidium amansii on Intestinal Immune System | 2005 | 10 |
| 16 | 2021 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 6 |
About Se-Han Kim
Se-Han Kim is a scholar working on Food Science, Computer Networks and Communications, Information Systems, Plant Science and Small Animals, having authored 37 papers that have together received 664 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (6 papers), Food Quality and Safety Studies (5 papers), Food Supply Chain Traceability (5 papers), Greenhouse Technology and Climate Control (5 papers), IoT and Edge/Fog Computing (4 papers), Cloud Computing and Resource Management (4 papers), Smart Agriculture and AI (4 papers) and Building Energy and Comfort Optimization (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (140 citations), Computer Networks and Communications (212 citations), Information Systems (144 citations), Plant Science (208 citations) and Building and Construction (60 citations). Se-Han Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Dae‐Heon Park, Hyeon Park, Changsun Shin, Meonghun Lee, Taehong Kim, Thanh-Tung Nguyen, Young Hoon Kwak, Jung-Ho Huh, Linh-An Phan and Yong‐Woon Kim. Their work appears in journals such as IEEE Access, Sensors, Electronics, Computers and Electronics in Agriculture and Agronomy.
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.