Minyoung Kim

1.3k total citations
69 papers, 503 citations indexed

About

Minyoung Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Minyoung Kim has authored 69 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Minyoung Kim's work include Face and Expression Recognition (9 papers), Video Surveillance and Tracking Methods (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Minyoung Kim is often cited by papers focused on Face and Expression Recognition (9 papers), Video Surveillance and Tracking Methods (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Minyoung Kim collaborates with scholars based in South Korea, United States and United Kingdom. Minyoung Kim's co-authors include Ki‐Hyun Kim, Vladimir Pavlović, Shell Xu Hu, Da Li, Jan Stühmer, Timothy M. Hospedales, Hang Thi Nguyen, Yu Wang, Qiang Ji and Jixu Chen and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Hazardous Materials.

In The Last Decade

Minyoung Kim

62 papers receiving 483 citations

Peers

Minyoung Kim
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 175
  • Artificial Intelligence 137
  • Atmospheric Science 77
  • Health, Toxicology and Mutagenesis 70
  • Environmental Engineering 57
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Zeeshan Zeeshan China View profile →
Citations per field, relative to Minyoung Kim
Minyoung Kim · 1×
Citations per year, relative to Minyoung Kim
Minyoung Kim · 1×

Countries citing papers authored by Minyoung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minyoung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minyoung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Minyoung Kim. A scholar is included among the top collaborators of Minyoung Kim 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 Minyoung Kim. Minyoung Kim 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
# Work Indexed citations
1 3
2 1
3 11
4 15
5 100
6 2
7 2
8 0
9
Deep Clustered Convolutional Kernels
4
10 3
11 1
12 6
13 2
14
Local Minima Embedding
2
15 14
16
The Development of Interactive Tiled Display Applications Using the iTILE Framework
2
17 48
18
A Novel Robot Sensor System Utilizing the Combination Of Stereo Image Intensity And Laser Structured Light Image Information
2
19
The Exceedance Patterns of O 3 Air Quality Standards from 31 Monitoring Stations in Seoul
1
20 2

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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