Minsu Cho

3.9k total citations · 1 hit paper
42 papers, 1.0k citations indexed

About

Minsu Cho is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Minsu Cho has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Automotive Engineering. Recurrent topics in Minsu Cho's work include Advanced Image and Video Retrieval Techniques (10 papers), Graph Theory and Algorithms (6 papers) and Multimodal Machine Learning Applications (5 papers). Minsu Cho is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Graph Theory and Algorithms (6 papers) and Multimodal Machine Learning Applications (5 papers). Minsu Cho collaborates with scholars based in South Korea, United States and France. Minsu Cho's co-authors include Kyoung Mu Lee, Jungmin Lee, Xiaowei Wang, Gongyu Tang, Jean Ponce, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu, Junchi Yan and Jian Sun and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cancer Letters.

In The Last Decade

Minsu Cho

38 papers receiving 1.0k citations

Hit Papers

OncoDB: an interactive online database for analysis of ge... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. OncoDB: an interactive online database for analysis of gene expression and viral infection in cancer
    2021 193 citations Gongyu Tang, Minsu Cho et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minsu Cho South Korea 14 703 226 222 176 152 42 1.0k
Xinyu Liu China 17 556 0.8× 547 2.4× 89 0.4× 85 0.5× 39 0.3× 112 1.3k
Dong Xu China 19 365 0.5× 317 1.4× 81 0.4× 356 2.0× 26 0.2× 52 1.1k
Yue Chen China 15 418 0.6× 261 1.2× 33 0.1× 116 0.7× 56 0.4× 67 1.1k
Steven Gold United States 12 1.1k 1.6× 321 1.4× 398 1.8× 169 1.0× 264 1.7× 16 1.6k
Wu-Jun Li China 23 2.5k 3.6× 700 3.1× 111 0.5× 64 0.4× 156 1.0× 70 3.0k
Zhenhua Feng China 22 897 1.3× 197 0.9× 170 0.8× 127 0.7× 177 1.2× 90 1.3k
Zhong Zhou China 18 666 0.9× 202 0.9× 156 0.7× 276 1.6× 36 0.2× 129 1.4k
Wei Xiong China 16 494 0.7× 185 0.8× 40 0.2× 40 0.2× 48 0.3× 76 944
Klara Kedem Israel 23 1.2k 1.7× 226 1.0× 267 1.2× 235 1.3× 270 1.8× 79 2.0k

Countries citing papers authored by Minsu Cho

Since Specialization
Citations

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

Fields of papers citing papers by Minsu Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minsu Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Minsu Cho. A scholar is included among the top collaborators of Minsu Cho 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 Minsu Cho. Minsu Cho 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
1.
Cho, Minsu, et al.. (2025). Locality-Aware Zero-Shot Human-Object Interaction Detection. 20190–20200.
2.
Cho, Minsu, Gongyu Tang, Crystal D. Rogers, et al.. (2025). OncoDB 2.0: a comprehensive platform for integrated pan-cancer omics analysis. Nucleic Acids Research. 54(D1). D1537–D1544. 1 indexed citations
3.
Lee, Minjung, et al.. (2025). Video Summarization with Large Language Models. 18981–18991. 2 indexed citations
4.
Nagrani, Arsha, et al.. (2024). MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. 13235–13245. 7 indexed citations
5.
Kim, Seungwook, et al.. (2024). Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences. 10649–10658.
6.
Cho, Minsu, et al.. (2024). Contrastive Mean-Shift Learning for Generalized Category Discovery. 23094–23104. 1 indexed citations
7.
Seo, Paul Hongsuck, et al.. (2024). Learning Correlation Structures for Vision Transformers. 18941–18951. 14 indexed citations
8.
Tang, Gongyu, et al.. (2024). Pan-cancer discovery of somatic mutations from RNA sequencing data. Communications Biology. 7(1). 619–619. 13 indexed citations
9.
Cho, Minsu, et al.. (2023). Dynamic Control and Simulation of Leader-follower Vehicle Formation Considering Vehicle Stability. International Journal of Control Automation and Systems. 21(9). 2995–3005. 5 indexed citations
10.
Cho, Minsu, et al.. (2022). Electrical Characteristics of Metal Contacts to Carbon Nanowalls. ECS Journal of Solid State Science and Technology. 11(6). 61012–61012. 4 indexed citations
11.
Cho, Minsu, et al.. (2022). GPU-Parallelized Iterative LQR with Input Constraints for Fast Collision Avoidance of Autonomous Vehicles. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4797–4804. 7 indexed citations
12.
Yang, Jing, Huashan Wang, Edith A. Perez, et al.. (2022). Miz1 promotes KRAS-driven lung tumorigenesis by repressing the protocadherin Pcdh10. Cancer Letters. 555. 216025–216025. 7 indexed citations
13.
Cho, Minsu, et al.. (2022). Iterative LQR with Discrete Barrier States for Efficient Collision Avoidance of Autonomous Vehicle. 2022 22nd International Conference on Control, Automation and Systems (ICCAS). 1636–1641.
14.
Cho, Minsu, et al.. (2020). Fragment Relation Networks for Geometric Shape Assembly. 1 indexed citations
15.
Cho, Minsu, et al.. (2019). Temporal U-Nets for Video Summarization with Scene and Action Recognition. 1541–1544. 5 indexed citations
16.
Ham, Bumsub, Minsu Cho, Cordelia Schmid, & Jean Ponce. (2016). Proposal Flow. Computer Vision and Pattern Recognition. 39 indexed citations
17.
Yan, Junchi, Minsu Cho, Hongyuan Zha, Xiaokang Yang, & Stephen M. Chu. (2015). Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(6). 1228–1242. 123 indexed citations
18.
Cho, Minsu, Jian Sun, Olivier Duchenne, & Jean Ponce. (2014). Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers. 76 indexed citations
19.
Cho, Minsu & Kyoung Mu Lee. (2012). Progressive graph matching: Making a move of graphs via probabilistic voting. 398–405. 101 indexed citations
20.
Lee, Kyogu & Minsu Cho. (2011). Mood Classfication from Musical Audio Using User Group-Dependent Models. 130–135. 3 indexed citations

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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