Minki Jeong

786 citations
12 papers · 407 indexed · h-index 5
Topics
Domain Adaptation and Few-Shot Learning (5 papers)Video Surveillance and Tracking Methods (4 papers)Human Pose and Action Recognition (4 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Sensors JournalarXiv (Cornell University)

In The Last Decade

Minki Jeong

12 papers receiving 403 citations

Peers

Minki Jeong
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 334
  • Artificial Intelligence 222
  • Biomedical Engineering 71
  • Radiology, Nuclear Medicine and Imaging 47
  • Media Technology 25
Replace Jialun Liu with:
Jialun Liu China
Qin Zhou China
Alok Kumar Singh Kushwaha India
Hongyang Xue China
Zhimao Peng China
Inkyu Shin South Korea
Pengfei Ge China
Yu-Ying Yeh United States
Jianfu Zhang China
Minki Jeong relative to Jialun Liu China Jialun Liu's profile →
Citations per field
00.5×4.2×
Jialun Liu · 1×
Citations per year

Countries citing papers authored by Minki Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Minki Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minki Jeong

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 22
3 38
4 2
5 111
6 2
7
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
6
8 216
9 1
10 2
11 3
12 3

About Minki Jeong

Minki Jeong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 12 papers that have together received 407 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Video Surveillance and Tracking Methods (4 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (334 citations), Artificial Intelligence (222 citations) and Media Technology (25 citations). Minki Jeong has collaborated with scholars based in South Korea, Canada and United Kingdom. Frequent co-authors include Changick Kim, Seokeon Choi, Taekyung Kim, Seunghyeon Kim, Jaehoon Choi, Sung-Won Moon, Jiwon Lee, Youngeun Kim, Ji‐Won Lee and Debasmit Das. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Sensors Journal and arXiv (Cornell University).

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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