Min-Sung Kang

1.3k citations
80 papers · 1.0k · 1 hit paper · h-index 12

Impact in

Papers in

Min-Sung Kang

71 papers receiving 1.0k citations

Min-Sung Kang's Hit Papers

Early-Stage Lung Cancer Diagnosis by Deep Learning-Based Spectroscopic Analysis of Circulating Exosomes 2020 · 415 citations
4150+2+4Years since publication100200300400

Peers

Min-Sung Kang
Comparison fields: 5 of 120
  • Biophysics 155
  • Control and Systems Engineering 169
  • Electronic, Optical and Magnetic Materials 127
  • Computer Vision and Pattern Recognition 139
  • Biomedical Engineering 277
Replace Abhilash K. Pandya with:
Abhilash K. Pandya United States
Jing Bai China
Ying Jin China
Yuanyuan Liu China
Zedong Nie China
Ying Jin China
Dong Zhang China
Hai Yang China
Min-Sung Kang relative to Abhilash K. Pandya United States Abhilash K. Pandya's profile →
Citations per field
00.5×4.9×
Abhilash K. Pandya · 1×
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 80 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 →
2020415
2 2009129
3 201954
4 201651
5 200545
6 201225
7 201921
8 201118
9 202118
10 202217
11 201017
12 201212
13 202010
14 201610
15 20239
16 20119
17 20127
18 20246
19 20246
20 20236

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 80 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Robotic Path Planning Algorithms (8 papers), Occupational and environmental lung diseases (8 papers), Video Surveillance and Tracking Methods (8 papers), Hydraulic and Pneumatic Systems (7 papers), Robotics and Sensor-Based Localization (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Air Quality and Health Impacts (6 papers). The work is most often cited by research in Biophysics (155 citations), Control and Systems Engineering (169 citations), Electronic, Optical and Magnetic Materials (127 citations), Computer Vision and Pattern Recognition (139 citations) and Biomedical Engineering (277 citations). Min-Sung Kang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Sangdeok Park, Jin‐Hyun Kim, Hyunku Shin, Yeonho Choi, Yong Park, Hyesun Jeong, Hyun Koo Kim, Ka‐Won Kang, Sunghoi Hong and Soonwoo Hong. Their work appears in journals such as IEEE Access, Toxics, International Journal of Environmental Research and Public Health, Robotics and Autonomous Systems and Marine Pollution Bulletin.

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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