Kang Min Yoo

900 total citations
25 papers, 404 citations indexed

About

Kang Min Yoo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kang Min Yoo has authored 25 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Kang Min Yoo's work include Topic Modeling (18 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (4 papers). Kang Min Yoo is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (4 papers). Kang Min Yoo collaborates with scholars based in South Korea, Canada and United States. Kang Min Yoo's co-authors include Sang‐goo Lee, Taeuk Kim, Hwaran Lee, John Joon Young Chung, Woo Seok Kim, Eytan Adar, Minsuk Chang, Jung-Woo Ha, Xiaodong Gu and Sang-goo Lee and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Signal Processing Letters and Skin Pharmacology and Physiology.

In The Last Decade

Kang Min Yoo

24 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang Min Yoo South Korea 9 286 103 28 27 14 25 404
Push Singh United States 10 264 0.9× 80 0.8× 28 1.0× 35 1.3× 13 386
Tuhin Chakrabarty United States 13 337 1.2× 97 0.9× 16 0.6× 47 1.7× 30 433
Nate Blaylock United States 12 298 1.0× 47 0.5× 15 0.5× 25 0.9× 28 354
Joseph Chee Chang United States 8 171 0.6× 67 0.7× 42 1.5× 103 3.8× 21 366
Kyusong Lee South Korea 10 351 1.2× 85 0.8× 13 0.5× 45 1.7× 1 0.1× 32 452
Hwaran Lee South Korea 9 136 0.5× 125 1.2× 54 1.9× 21 0.8× 27 320
Mina Lee United States 7 167 0.6× 27 0.3× 28 1.0× 46 1.7× 11 261
Graham Wilcock Finland 12 294 1.0× 45 0.4× 31 1.1× 31 1.1× 51 387
Kay Cohen 3 244 0.9× 36 0.3× 27 1.0× 30 1.1× 4 329
Deokgun Park United States 8 163 0.6× 238 2.3× 40 1.4× 52 1.9× 10 407

Countries citing papers authored by Kang Min Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Kang Min Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Min Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Min Yoo. A scholar is included among the top collaborators of Kang Min Yoo 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 Kang Min Yoo. Kang Min Yoo 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.
Lee, Hyunwoo, et al.. (2025). ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models. 19597–19607. 1 indexed citations
2.
Kim, Sungdong, et al.. (2025). KMMLU: Measuring Massive Multitask Language Understanding in Korean. 4076–4104. 1 indexed citations
3.
Yoo, Kang Min, et al.. (2024). Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. 2421–2431. 1 indexed citations
4.
Yoo, Kang Min, et al.. (2024). Aligning Language Models to Explicitly Handle Ambiguity. 1989–2007. 2 indexed citations
5.
Yoo, Kang Min, et al.. (2024). Instruction Tuning with Human Curriculum. 1281–1309. 1 indexed citations
6.
Lee, Sangkyu, Sungdong Kim, Ashkan Yousefpour, et al.. (2024). Aligning Large Language Models by On-Policy Self-Judgment. 11442–11459.
7.
Kim, Sungdong, Jamin Shin, Soyoung Kang, et al.. (2023). Aligning Large Language Models through Synthetic Feedback. 13677–13700. 6 indexed citations
8.
Lee, Sang-Woo, et al.. (2023). Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 12709–12718. 7 indexed citations
9.
Lee, Hwanhee, et al.. (2023). Critic-Guided Decoding for Controlled Text Generation. 4598–4612. 4 indexed citations
10.
Yoo, Kang Min, et al.. (2022). Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. 2422–2437. 30 indexed citations
11.
12.
13.
Kim, Sungdong, et al.. (2022). Generating Information-Seeking Conversations from Unlabeled Documents. 2362–2378. 3 indexed citations
14.
Kim, Eunjung, et al.. (2022). Rosmarinic Acid, as an NHE1 Activator, Decreases Skin Surface pH and Improves the Skin Barrier Function. International Journal of Molecular Sciences. 23(7). 3910–3910. 5 indexed citations
15.
Kim, Taeuk, Kang Min Yoo, & Sang‐goo Lee. (2021). Self-Guided Contrastive Learning for BERT Sentence Representations. 2528–2540. 115 indexed citations
16.
Kim, Eun Jung, ChungHyuk Lee, Kang Min Yoo, et al.. (2021). A Lipid Mixture Enriched by Ceramide NP with Fatty Acids of Diverse Chain Lengths Contributes to Restore the Skin Barrier Function Impaired by Topical Corticosteroid. Skin Pharmacology and Physiology. 35(2). 112–123. 12 indexed citations
17.
Gu, Xiaodong, Kang Min Yoo, & Jung-Woo Ha. (2021). DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 12911–12919. 43 indexed citations
18.
Yoo, Kang Min, et al.. (2021). GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation. arXiv (Cornell University). 2225–2239. 2 indexed citations
19.
Yoo, Kang Min, et al.. (2019). Leveraging Class Hierarchy in Fashion Classification. 3197–3200. 14 indexed citations
20.
Yoo, Kang Min, et al.. (2017). Unsupervised Learning of Task-Specific Tree Structures with Tree-LSTMs. arXiv (Cornell University). 9 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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2026