Yong-Jun Kim

994 citations
73 papers · 704 indexed · h-index 11
Topics
Neuroscience and Neural Engineering (7 papers)Advanced Sensor and Energy Harvesting Materials (7 papers)Analytical Chemistry and Sensors (5 papers)

In The Last Decade

Yong-Jun Kim

64 papers receiving 675 citations

Peers

Yong-Jun Kim
Comparison fields: 5 of 89
  • Biomedical Engineering 413
  • Electrical and Electronic Engineering 296
  • Cognitive Neuroscience 114
  • Finance 84
  • Mechanical Engineering 57
Replace Shih-Chieh Chang with:
Shih-Chieh Chang Taiwan
Mahmoud Al Ahmad United Arab Emirates
Wang Peng China
Lianhui Li China
Kosuke Iwai United States
Dong Xiang United States
Cheng-Han Li Taiwan
Xinyan Wang China
Hung‐Yu Chen Taiwan
Yong-Jun Kim relative to Shih-Chieh Chang Taiwan Shih-Chieh Chang's profile →
Citations per field
00.5×6.5×
Shih-Chieh Chang · 1×
Citations per year

Countries citing papers authored by Yong-Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yong-Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong-Jun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yong-Jun Kim. A scholar is included among the top collaborators of Yong-Jun Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yong-Jun Kim. Yong-Jun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 8
4 1
5 0
6 0
7 0
8 2
9 2
10 1
11
An Associative Search System for Mobile Life-log Semantic Networks based on Visualization
1
12
Development and Application of Polymer-based Flexible Force Sensor Array
1
13 6
14 11
15
Petrological Study on the Intermediate-basic Plutonic Rocks in the Southwestern Part of the Korean Peninsula
1
16 2
17 0
18
트레킹 및 조깅을 위한 스마트 스포츠웨어의 프로토타입 개발
0
19
Articles : Petrochemistry of Igneous Rocks in Naju - Haenam Area
1
20
Articles : Rb - Sr Isotopic Study on Igneous Rocks from the Geochang - Koryong Area
2

About Yong-Jun Kim

Yong-Jun Kim is a scholar working on Bioengineering, Biomedical Engineering and Geochemistry and Petrology, having authored 73 papers that have together received 704 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Analytical Chemistry and Sensors (5 papers). The work is most often cited by research in Biomedical Engineering (413 citations), Bioengineering (49 citations) and Finance (84 citations). Yong-Jun Kim has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Junghoon Seo, Jaewon Choi, Byeongno Lee, Chan‐Hee Jung, Jae‐Hak Choi, Jumi Lee, Hyojin Ko, Oh‐Sun Kwon, Kwanwoo Shin and Jungho Hwang. Their work appears in journals such as Advanced Materials, Biosensors and Bioelectronics and Sensors and Actuators B Chemical.

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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