Minsuk Kahng

2.2k total citations
41 papers, 1.0k citations indexed

About

Minsuk Kahng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Minsuk Kahng has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Minsuk Kahng's work include Data Visualization and Analytics (15 papers), Explainable Artificial Intelligence (XAI) (9 papers) and Recommender Systems and Techniques (9 papers). Minsuk Kahng is often cited by papers focused on Data Visualization and Analytics (15 papers), Explainable Artificial Intelligence (XAI) (9 papers) and Recommender Systems and Techniques (9 papers). Minsuk Kahng collaborates with scholars based in United States, South Korea and Switzerland. Minsuk Kahng's co-authors include Duen Horng Chau, Pierre Andrews, Sang‐goo Lee, Fernanda Viégas, Martin Wattenberg, Nikhil Thorat, Fred Hohman, Zijie J. Wang, SangKeun Lee and Haekyu Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of the American Medical Informatics Association.

In The Last Decade

Minsuk Kahng

41 papers receiving 989 citations

Peers

Countries citing papers authored by Minsuk Kahng

Since Specialization

Citations

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

Fields of papers citing papers by Minsuk Kahng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minsuk Kahng

This figure shows the co-authorship network connecting the top 25 collaborators of Minsuk Kahng. A scholar is included among the top collaborators of Minsuk Kahng 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 Minsuk Kahng. Minsuk Kahng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models 2024 ·Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, (unknown), Minsuk Chang, Michael Terry, Lucas Dixon	13
2	Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation 2024 ·(unknown), Alicia Parrish, Oana Inel, (unknown), Hannah Rose Kirk, Minsuk Kahng, (unknown), Max Bartolo, (unknown), (unknown), (unknown), (unknown), (unknown), Vijay Janapa Reddi, Lora Aroyo	3
3	LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models 2024 ·IEEE Transactions on Visualization and Computer Graphics ·Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, (unknown), Minsuk Chang, Michael Terry, Lucas Dixon	7
4	Automatic Histograms: Leveraging Language Models for Text Dataset Exploration 2024 ·Emily Reif, (unknown), James Wexler, Minsuk Kahng	3
5	VIVA: Visual Exploration and Analysis of Videos with Interactive Annotation 2023 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Minsuk Kahng	1
6	Beyond Value: CheckList for Testing Inferences in Planning-Based RL 2022 ·Proceedings of the International Conference on Automated Planning and Scheduling ·(unknown), (unknown), Jed Irvine, (unknown), (unknown), Minsuk Kahng, Alan Fern	1
7	From heatmaps to structured explanations of image classifiers 2021 ·SHILAP Revista de lepidopterología ·Fuxin Li, Zhongang Qi, (unknown), (unknown), Prasad Tadepalli, Minsuk Kahng, Alan Fern	4
8	Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches 2021 ·(unknown), (unknown), (unknown), Jonathan Dodge, (unknown), (unknown), Jed Irvine, (unknown), (unknown), A. W. Anderson, Minsuk Kahng, Alan Fern, Margaret Burnett	2
9	From “no clear winner” to an effective Explainable Artificial Intelligence process: An empirical journey 2021 ·SHILAP Revista de lepidopterología ·Jonathan Dodge, A. W. Anderson, (unknown), Jed Irvine, (unknown), (unknown), (unknown), (unknown), (unknown), Minsuk Kahng, Alan Fern, Margaret Burnett	5
10	CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization 2020 ·IEEE Transactions on Visualization and Computer Graphics ·Zijie J. Wang, (unknown), Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau	179
11	How Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis 2020 ·Minsuk Kahng, Duen Horng Chau	10
12	GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation 2018 ·IEEE Transactions on Visualization and Computer Graphics ·Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda Viégas, Martin Wattenberg	119
13	TimeStitch: Interactive multi-focus cohort discovery and comparison 2015 ·(unknown), Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau	10
14	Constructing compact and effective graphs for recommender systems via node and edge aggregations 2014 ·Expert Systems with Applications ·Sangkeun Lee, (unknown), Minsuk Kahng, Sang‐goo Lee	6
15	Towards scalable graph computation on mobile devices 2014 ·PubMed ·Yiqi Chen, Zhiyuan Lin, Robert Pienta, Minsuk Kahng, Duen Horng Chau	4
16	MMap: Fast billion-scale graph computation on a PC via memory mapping 2014 ·PubMed ·Zhiyuan Lin, Minsuk Kahng, (unknown), Duen Horng Chau, Kyoung Ho Lee, U Kang	31
17	GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration 2014 ·IEEE Transactions on Visualization and Computer Graphics ·Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, (unknown), (unknown), John Stasko, Duen Horng Chau	14
18	PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems 2012 ·Expert Systems with Applications ·Sangkeun Lee, (unknown), Sungchan Park, Minsuk Kahng, Sang‐goo Lee	49
19	Ranking objects by following paths in entity-relationship graphs 2011 ·Minsuk Kahng, SangKeun Lee, Sang‐Goo Lee	8
20	Flexible recommendation using random walks on implicit feedback graph 2011 ·Sangkeun Lee, Minsuk Kahng, Sang‐goo Lee	3

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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