Minguk Kang

622 total citations · 1 hit paper
7 papers, 246 citations indexed

About

Minguk Kang is a scholar working on Computer Vision and Pattern Recognition, Radiological and Ultrasound Technology and Artificial Intelligence. According to data from OpenAlex, Minguk Kang has authored 7 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Radiological and Ultrasound Technology and 2 papers in Artificial Intelligence. Recurrent topics in Minguk Kang's work include Generative Adversarial Networks and Image Synthesis (2 papers), Risk and Safety Analysis (2 papers) and Computer Graphics and Visualization Techniques (2 papers). Minguk Kang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Risk and Safety Analysis (2 papers) and Computer Graphics and Visualization Techniques (2 papers). Minguk Kang collaborates with scholars based in South Korea and United States. Minguk Kang's co-authors include Jaesik Park, Sylvain Paris, Jun-Yan Zhu, Richard Zhang, Eli Shechtman, Taesung Park, SungTae Moon, Han‐Lim Choi, Minjun Kim and Dong-Won Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Sciences and Buildings.

In The Last Decade

Minguk Kang

6 papers receiving 241 citations

Hit Papers

align trajectories

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.

Scaling up GANs for Text-to-Image Synthesis

2023 186 citations Minguk Kang, Jun-Yan Zhu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minguk Kang South Korea	3	165	76	25	17	16	7	246
Enrique Yeguas-Bolívar Spain	8	126 0.8×	58 0.8×	8 0.3×	14 0.8×	7 0.4×	29	218
Christopher Xie United States	6	147 0.9×	48 0.6×	15 0.6×	60 3.5×	9 0.6×	7	187
Zilong Zheng China	9	212 1.3×	137 1.8×	43 1.7×	25 1.5×	8 0.5×	22	327
Chen Guo China	8	148 0.9×	54 0.7×	7 0.3×	16 0.9×	11 0.7×	24	218
Ming-Yu Liu United States	3	106 0.6×	46 0.6×	13 0.5×	7 0.4×	16 1.0×	4	152
Andrew Owens United States	8	126 0.8×	29 0.4×	30 1.2×	17 1.0×	38 2.4×	13	201
Jing Yu Koh United States	8	257 1.6×	83 1.1×	39 1.6×	8 0.5×	13 0.8×	9	320
Subhadeep Koley United Kingdom	12	290 1.8×	64 0.8×	28 1.1×	23 1.4×	25 1.6×	25	356
Jane Mulligan United States	10	302 1.8×	30 0.4×	23 0.9×	13 0.8×	14 0.9×	19	371

Countries citing papers authored by Minguk Kang

Since Specialization

Citations

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

Fields of papers citing papers by Minguk Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minguk Kang

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Kim, Minjun, et al.. (2025). Comparison of Influencing Factors on Safety Behavior and Perception Between Contractor Managers and Subcontractor Workers at Korean Construction Sites. Buildings. 15(6). 963–963.

2.

Kang, Minguk, et al.. (2024). Extending CLIP’s Image-Text Alignment to Referring Image Segmentation. Seoul National University Open Repository (Seoul National University). 4611–4628. 1 indexed citations

3.

Won, Jeong-Hun, et al.. (2024). Development of a Site Information Classification Model and a Similar-Site Accident Retrieval Model for Construction Using the KLUE-BERT Model. Buildings. 14(6). 1797–1797. 1 indexed citations

4.

Kang, Minguk, et al.. (2023). StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15725–15742. 30 indexed citations

5.

Kang, Minguk, Jun-Yan Zhu, Richard Zhang, et al.. (2023). Scaling up GANs for Text-to-Image Synthesis. 10124–10134. 186 indexed citations breakdown →

6.

Choi, Han‐Lim, et al.. (2019). Learning-Based Anomaly Detection and Monitoring for Swarm Drone Flights. Applied Sciences. 9(24). 5477–5477. 27 indexed citations

7.

Kang, Minguk, et al.. (2018). Finding a High Accuracy Neural Network for the Welding Defects Classification Using Efficient Neural Architecture Search via Parameter Sharing. International Conference on Control, Automation and Systems. 1 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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