Minsik Lee

1.6k citations
76 papers · 980 · 1 hit paper · h-index 15

Impact in

Papers in

Minsik Lee

72 papers receiving 954 citations

Minsik Lee's Hit Papers

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons 2019 · 291 citations
2910+2+4Years since publication50100150200250

Peers

Minsik Lee
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 632
  • Computational Mathematics 15
  • Artificial Intelligence 321
  • Media Technology 65
  • Geology 31
Replace Jeffrey Ho with:
Jeffrey Ho United States
Gilson A. Giraldi Brazil
Arsenii Ashukha Russia
Yuting Wang China
Hailiang Ye China
Dorina Thanou Switzerland
Alaaeldin El-Nouby Sweden
Minsik Lee relative to Jeffrey Ho United States Jeffrey Ho's profile →
Citations per field
00.5×3.1×
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 76 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 →
2019291
2 201982
3 201363
4 201357
5 201540
6 201430
7 201627
8 201426
9 202125
10 202017
11 201517
12 201915
13 201915
14 201315
15 201515
16 201114
17 201412
18 20229
19 20169
20 20159

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 76 papers that have together received 980 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Face and Expression Recognition (12 papers), Advanced X-ray and CT Imaging (8 papers), 3D Shape Modeling and Analysis (8 papers), Human Pose and Action Recognition (7 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 (632 citations), Computational Mathematics (15 citations), Artificial Intelligence (321 citations), Media Technology (65 citations) and Geology (31 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, Hyung Jin Chang, Nojun Kwak and Habin Lee. Their work appears in journals such as Computer Vision and Image Understanding, IEEE Transactions on Image Processing, Pattern Recognition, Sensors and Scientific Reports.

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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