Minsik Lee

1.6k citations
80 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Minsik Lee

77 papers receiving 1.0k citations

Minsik Lee's Hit Papers

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons 2019 · 330 citations
3300+2+4Years since publication100200300

Peers

Minsik Lee
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 706
  • Computational Mathematics 15
  • Artificial Intelligence 359
  • Media Technology 68
  • Computational Mechanics 129
Replace Jeffrey Ho with:
Jeffrey Ho United States
Gilson A. Giraldi Brazil
Arsenii Ashukha Russia
Shuchang Zhou China
Yuting Wang China
Alaaeldin El-Nouby Sweden
Nicolas Thome France
Hailiang Ye China
Minsik Lee relative to Jeffrey Ho United States Jeffrey Ho's profile →
Citations per field
00.5×2×3.0×
Jeffrey Ho · 1×
Citations per year

Countries citing papers authored by Minsik Lee

Since Specialization
Citations

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

Fields of papers citing papers by Minsik Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minsik Lee. 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 Minsik Lee. The network helps show where Minsik Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Minsik Lee, 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 Minsik Lee Line = papers co-authored together Minsik Lee 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
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Hit paper breakdown →
2019330
2 201990
3 201369
4 201358
5 201541
6 201432
7 201430
8 201629
9 202126
10 201519
11 202017
12 201516
13 201915
14 201915
15 201315
16 201115
17 202013
18 201412
19 201611
20 201310

About Minsik Lee

Minsik Lee is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Artificial Intelligence and Radiation, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Face and Expression Recognition (12 papers), 3D Shape Modeling and Analysis (10 papers), Human Pose and Action Recognition (8 papers), Advanced X-ray and CT Imaging (8 papers), Advanced Radiotherapy Techniques (7 papers), Medical Imaging Techniques and Applications (7 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (706 citations), Computational Mathematics (15 citations), Artificial Intelligence (359 citations), Media Technology (68 citations) and Computational Mechanics (129 citations). Minsik Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jin Young Choi, Sangdoo Yun, Byeongho Heo, Songhwai Oh, Jungchan Cho, Chong‐Ho Choi, Eunwoo Kim, Nojun Kwak, Hyung Jin Chang and Habin Lee. Their work appears in journals such as Computer Vision and Image Understanding, IEEE Transactions on Image Processing, Pattern Recognition, Scientific Reports and Sensors.

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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