Jin‐Hee Kim

24 papers receiving 463 citations

Peers

Jin‐Hee Kim
Comparison fields: 5 of 97
  • Human-Computer Interaction 41
  • Cognitive Neuroscience 89
  • Polymers and Plastics 65
  • Toxicology 11
  • Biomedical Engineering 134
Replace Zhenqiu Gao with:
Zhenqiu Gao China
Jaewoo Lim South Korea
Rosalia Moreddu United Kingdom
Urtė Samukaitė-Bubnienė Lithuania
Michael Brothers United States
Aiying Guo China
Rocío Cánovas Spain
Lihang Zhu China
Junfeng Sun South Korea
Jin‐Hee Kim relative to Zhenqiu Gao China Zhenqiu Gao's profile →
Citations per field
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Zhenqiu Gao · 1×
Citations per year

Countries citing papers authored by Jin‐Hee Kim

Since Specialization
Citations

This map shows the geographic impact of Jin‐Hee 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 Jin‐Hee Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Hee Kim more than expected).

Fields of papers citing papers by Jin‐Hee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Hee 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 Jin‐Hee Kim. The network helps show where Jin‐Hee Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin‐Hee Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin‐Hee Kim Line = papers co-authored together Jin‐Hee Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201266
2 201258
3 200647
4 201941
5 201839
6 200735
7 201334
8 202130
9 198423
10 202122
11 202219
12 202318
13 201917
14 20156
15 20125
16 20154
17 20233
18 20192
19 20242
20 20102

About Jin‐Hee Kim

Jin‐Hee Kim is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Control and Systems Engineering and Cognitive Neuroscience, having authored 27 papers that have together received 480 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (3 papers), Biosensors and Analytical Detection (3 papers), Spacecraft Design and Technology (2 papers), Vibrio bacteria research studies (2 papers), Manufacturing Process and Optimization (2 papers), Interactive and Immersive Displays (2 papers), Autism Spectrum Disorder Research (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Human-Computer Interaction (41 citations), Cognitive Neuroscience (89 citations), Polymers and Plastics (65 citations), Toxicology (11 citations) and Biomedical Engineering (134 citations). Jin‐Hee Kim has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Se‐Wook Oh, Soon Ae Kim, Hee Jeong Yoo, In Hee Cho, Mira Park, Hsin-Liu Kao, Mauricio Terrones, S.A. Vanalakar, M. S. Dresselhaus and Morinobu Endo. Their work appears in journals such as Journal of Medicinal Chemistry, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Neuropsychobiology, Journal of Ethnic Foods and Journal of Food Science and Technology.

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.

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