Min-Sung Kang

1.3k citations
77 papers · 865 · 1 hit paper · h-index 11

Impact in

Papers in

Min-Sung Kang

68 papers receiving 845 citations

Min-Sung Kang's Hit Papers

Early-Stage Lung Cancer Diagnosis by Deep Learning-Based Spectroscopic Analysis of Circulating Exosomes 2020 · 403 citations
4030+2+4Years since publication100200300400

Peers

Min-Sung Kang
Comparison fields: 5 of 113
  • Biophysics 150
  • Electronic, Optical and Magnetic Materials 123
  • Biomedical Engineering 262
  • Analytical Chemistry 55
  • Rehabilitation 32
Replace Jing Bai with:
Jing Bai China
Yun Yue China
Abhilash K. Pandya United States
Lu Geng China
Yuanyuan Liu China
Hai Zhang China
Chunlei Liu China
Yanqin Chen China
Ying Jin China
Ziquan Liu China
Min-Sung Kang relative to Jing Bai China Jing Bai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Min-Sung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Min-Sung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Sung Kang. 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 Min-Sung Kang. The network helps show where Min-Sung Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Early-Stage Lung Cancer Diagnosis by Deep Learning-Based Spectroscopic Analysis of Circulating Exosomes
Hit paper breakdown →
2020403
2 201951
3 201650
4 200541
5 201223
6 201921
7 202118
8 201117
9 201016
10 202215
11 201212
12 202010
13 201610
14 20239
15 20118
16 20127
17 20246
18 20246
19 20236
20 20146

About Min-Sung Kang

Min-Sung Kang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering and Pulmonary and Respiratory Medicine, having authored 77 papers that have together received 865 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Occupational and environmental lung diseases (8 papers), Video Surveillance and Tracking Methods (8 papers), Hydraulic and Pneumatic Systems (7 papers), Robotic Path Planning Algorithms (7 papers), Autonomous Vehicle Technology and Safety (6 papers), Air Quality and Health Impacts (6 papers) and Prosthetics and Rehabilitation Robotics (6 papers). The work is most often cited by research in Biophysics (150 citations), Electronic, Optical and Magnetic Materials (123 citations), Biomedical Engineering (262 citations), Analytical Chemistry (55 citations) and Rehabilitation (32 citations). Min-Sung Kang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Yeonho Choi, Hyunku Shin, Byeong Hyeon Choi, Seunghyun Oh, Hyesun Jeong, Soonwoo Hong, Hyun Koo Kim, Sunghoi Hong, Yong Park and Ka‐Won Kang. Their work appears in journals such as IEEE Access, Marine Pollution Bulletin, Robotics and Autonomous Systems, International Journal of Environmental Research and Public Health and Toxics.

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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