T.-S. Kim

818 citations
20 papers · 575 · h-index 9

Impact in

Papers in

T.-S. Kim

19 papers receiving 532 citations

Peers

T.-S. Kim
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 349
  • Human-Computer Interaction 49
  • Transportation 31
  • Experimental and Cognitive Psychology 59
  • Artificial Intelligence 143
Replace Hefei Ling with:
Hefei Ling China
Michalis Vrigkas Greece
Sugondo Hadiyoso Indonesia
Cătălin Daniel Căleanu Romania
Juan Manuel Gálvez Spain
Pengcheng Xi Canada
Joo Kooi Tan Japan
Giuliano Grossi Italy
T.-S. Kim relative to Hefei Ling China Hefei Ling's profile →
Citations per field
00.5×3.9×
Hefei Ling · 1×
Citations per year

Countries citing papers authored by T.-S. Kim

Since Specialization
Citations

This map shows the geographic impact of T.-S. 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 T.-S. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.-S. Kim more than expected).

Fields of papers citing papers by T.-S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.-S. 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 T.-S. Kim. The network helps show where T.-S. Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside T.-S. 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 T.-S. Kim Line = papers co-authored together T.-S. Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010171
2 201788
3 200975
4 200866
5 201652
6 200540
7 200419
8 200812
9 200811
10 20178
11 20178
12 20085
13 20054
14 20054
15 20054
16 20063
17 20052
18 20052
19 20071
20 20070

About T.-S. Kim

T.-S. Kim is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Signal Processing and Artificial Intelligence, having authored 20 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (4 papers), Context-Aware Activity Recognition Systems (4 papers), Advanced MRI Techniques and Applications (4 papers), Blind Source Separation Techniques (4 papers), Electrical and Bioimpedance Tomography (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Face and Expression Recognition (2 papers) and Geophysical and Geoelectrical Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (349 citations), Human-Computer Interaction (49 citations), Transportation (31 citations), Experimental and Cognitive Psychology (59 citations) and Artificial Intelligence (143 citations). T.-S. Kim has collaborated with scholars based in South Korea, United States and Ecuador. Frequent co-authors include Adil Khan, S. Y. Lee, Md. Zia Uddin, Jeong Hoon Lee, Mohammed A. Al‐masni, Mugahed A. Al–antari, Tae‐Yop Kim, Patricio Rivera, Edwin Valarezo Añazco and Sola Han. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Broadcasting, IEEE Transactions on Consumer Electronics, Journal of Neuroscience Methods and Conference proceedings.

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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