Jin-Su Kim

740 citations
89 papers · 536 indexed · h-index 12

Jin-Su Kim

64 papers receiving 486 citations

Peers

Jin-Su Kim
Comparison fields: 5 of 87
  • Renewable Energy, Sustainability and the Environment 125
  • Human-Computer Interaction 31
  • Cognitive Neuroscience 80
  • Biomedical Engineering 148
  • Orthopedics and Sports Medicine 29
Replace Hung‐Jen Chen with:
Hung‐Jen Chen Taiwan
Haipeng Wang China
Jipeng Yan China
Neil Grabham United Kingdom
Himanshu Chhabra India
Nebras Sobahi Saudi Arabia
Yuheng Wu China
Gengchen Liu United States
Jin-Su Kim relative to Hung‐Jen Chen Taiwan Hung‐Jen Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jin-Su Kim

Since Specialization
Citations

This map shows the geographic impact of Jin-Su 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-Su 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-Su Kim more than expected).

Fields of papers citing papers by Jin-Su Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20231
4 20230
5 20201
6
A Study on EMG-based Biometrics
201725
7 20163
8 20161
9 20153
10 20152
11 20130
12 20120
13
A Study on the Machining Characteristics of Prototype of Roller Gear Cams
20121
14 20111
15
Estimation of Internal Motion for Quantitative Improvement of Lung Tumor in Small Animal
20110
16 20107
17
An Energy Saving Method using Hierarchical Filtering in Sensor Networks
20071
18
An Energy-Efficient Data Aggregation using Hierarchical Filtering in Sensor Network
20071
19
Performance breakthrough in NOR flash memory with dopant-segregated Schottky-barrier (DSSB) SONOS devices
20063
20
Probabilistic Anatomical Labeling of Brain Structures Using Statistical Probabilistic Anatomical Maps
20022

About Jin-Su Kim

Jin-Su Kim is a scholar working on Human-Computer Interaction, Computer Networks and Communications and Cognitive Neuroscience, having authored 89 papers that have together received 536 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (14 papers), EEG and Brain-Computer Interfaces (13 papers), Muscle activation and electromyography studies (8 papers), Semiconductor materials and devices (7 papers), Mobile Ad Hoc Networks (7 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), ECG Monitoring and Analysis (6 papers) and Engineering Applied Research (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (125 citations), Human-Computer Interaction (31 citations) and Cognitive Neuroscience (80 citations). Jin-Su Kim has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Seong Ihl Woo, Sung Bum Pan, Chang Hyuck Choi, Sungbum Pan, Young Uk Park, Ki Won Young, Kyung Tai Lee, Jaihie Kim, Yoon‐Sik Lee and Juhan Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and International Journal of Hydrogen Energy.

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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