Ji Eun Kim
Impact in
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- IoT and Edge/Fog Computing
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- Supramolecular Self-Assembly in Materials
Papers in
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- IoT and Edge/Fog Computing 3
- Software System Performance and Reliability 2
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- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Eun‐Young Choi (1 shared paper)Won Jun Lee (1 shared paper)Tae Hee Han (1 shared paper)Duck Hyun Lee (1 shared paper)Sang Ouk Kim (1 shared paper)Daniel Mossé (4 shared papers)Christian Beckel (2 shared papers)O. Rogalla (1 shared paper)
- Journals
- Science Advances (1 paper)Advanced Materials (1 paper)The Journal of Microbiology (1 paper)Intelligent Buildings International (1 paper)ACM SIGBED Review (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Ji Eun Kim
12 papers receiving 427 citations
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 102
- Biomaterials 57
- Hardware and Architecture 26
- Electronic, Optical and Magnetic Materials 67
- Materials Chemistry 153
Countries citing papers authored by Ji Eun Kim
This map shows the geographic impact of Ji Eun 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 Eun 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 Eun Kim more than expected).
Fields of papers citing papers by Ji Eun Kim
This network shows the impact of papers produced by Ji Eun 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 Eun Kim. The network helps show where Ji Eun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Eun 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 | 2010 | 237 | |
| 2 | 2012 | 80 | |
| 3 | 2020 | 26 | |
| 4 | 2008 | 25 | |
| 5 | 2009 | 23 | |
| 6 | 2010 | 16 | |
| 7 | 2017 | 15 | |
| 8 | 2015 | 11 | |
| 9 | 2008 | 7 | |
| 10 | 2016 | 5 | |
| 11 | Architecting Social Internet of Things | 2016 | 2 |
| 12 | 2015 | 1 |
About Ji Eun Kim
Ji Eun Kim is a scholar working on Computer Networks and Communications, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Biomaterials, having authored 12 papers that have together received 448 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Service-Oriented Architecture and Web Services (3 papers), IoT and Edge/Fog Computing (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Real-Time Systems Scheduling (2 papers), Advanced Software Engineering Methodologies (2 papers), Software System Performance and Reliability (2 papers) and Phytochemistry and Biological Activities (1 paper). The work is most often cited by research in Computer Networks and Communications (102 citations), Biomaterials (57 citations), Hardware and Architecture (26 citations), Electronic, Optical and Magnetic Materials (67 citations) and Materials Chemistry (153 citations). Ji Eun Kim has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Eun‐Young Choi, Won Jun Lee, Tae Hee Han, Duck Hyun Lee, Sang Ouk Kim, Daniel Mossé, Christian Beckel, O. Rogalla, Simon Kramer and Arne Hamann. Their work appears in journals such as Science Advances, Advanced Materials, The Journal of Microbiology, Intelligent Buildings International and ACM SIGBED Review.
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.