Junghye Min

1.4k total citations · 2 hit papers
10 papers, 1.0k citations indexed

About

Junghye Min is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Junghye Min has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Junghye Min's work include Advanced Vision and Imaging (7 papers), Video Coding and Compression Technologies (6 papers) and Human Pose and Action Recognition (3 papers). Junghye Min is often cited by papers focused on Advanced Vision and Imaging (7 papers), Video Coding and Compression Technologies (6 papers) and Human Pose and Action Recognition (3 papers). Junghye Min collaborates with scholars based in South Korea, United States and Finland. Junghye Min's co-authors include Woo-Jin Han, Jani Lainema, Kemal Uǧur, Frank Bossen, Il-Koo Kim, Tammy Lee, JeongHoon Park, Rangachar Kasturi, Huiping Li and Vladimir Y. Mariano and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Image and Vision Computing and Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

In The Last Decade

Junghye Min

10 papers receiving 994 citations

Hit Papers

Intra Coding of the HEVC Standard 2012 2026 2016 2021 2012 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junghye Min South Korea 8 1.0k 857 26 23 19 10 1.0k
Yaowu Xu United States 10 577 0.6× 423 0.5× 37 1.4× 23 1.0× 35 1.8× 53 629
Matteo Naccari United Kingdom 13 749 0.7× 415 0.5× 56 2.2× 22 1.0× 27 1.4× 41 780
Sehoon Yea United States 13 649 0.6× 390 0.5× 91 3.5× 19 0.8× 9 0.5× 40 685
Marko Viitanen Finland 13 915 0.9× 752 0.9× 52 2.0× 25 1.1× 53 2.8× 39 989
Jingning Han United States 15 849 0.8× 606 0.7× 46 1.8× 60 2.6× 37 1.9× 71 919
Mengmeng Zhang China 10 322 0.3× 271 0.3× 18 0.7× 26 1.1× 20 1.1× 97 407
Hadi Amirpour Austria 15 535 0.5× 362 0.4× 46 1.8× 30 1.3× 28 1.5× 96 637
Tobias Hinz Germany 11 692 0.7× 600 0.7× 33 1.3× 12 0.5× 33 1.7× 23 733
Stéphane Pateux France 10 482 0.5× 384 0.4× 28 1.1× 91 4.0× 54 2.8× 34 591
Alexandre Mercat Finland 8 492 0.5× 384 0.4× 29 1.1× 20 0.9× 34 1.8× 40 546

Countries citing papers authored by Junghye Min

Since Specialization
Citations

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

Fields of papers citing papers by Junghye Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junghye Min

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

All Works

10 of 10 papers shown
1.
Alshin, Alexander, et al.. (2015). Coding efficiency improvements beyond HEVC with known tools. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9599. 95991C–95991C. 8 indexed citations
2.
Liu, Shan, et al.. (2013). Inter-layer intra mode prediction for scalable extension of HEVC. 317–320. 2 indexed citations
3.
Kim, Il-Koo, Junghye Min, Tammy Lee, Woo-Jin Han, & JeongHoon Park. (2012). Large and various shapes block processing in HEVC. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8499. 84990Q–84990Q. 2 indexed citations
4.
Lainema, Jani, Frank Bossen, Woo-Jin Han, Junghye Min, & Kemal Uǧur. (2012). Intra Coding of the HEVC Standard. IEEE Transactions on Circuits and Systems for Video Technology. 22(12). 1792–1801. 471 indexed citations breakdown →
5.
Kim, Il-Koo, Junghye Min, Tammy Lee, Woo-Jin Han, & JeongHoon Park. (2012). Block Partitioning Structure in the HEVC Standard. IEEE Transactions on Circuits and Systems for Video Technology. 22(12). 1697–1706. 330 indexed citations breakdown →
6.
Han, Woo-Jin, Junghye Min, Il-Koo Kim, et al.. (2010). Improved Video Compression Efficiency Through Flexible Unit Representation and Corresponding Extension of Coding Tools. IEEE Transactions on Circuits and Systems for Video Technology. 20(12). 1709–1720. 99 indexed citations
7.
Min, Junghye, Rangachar Kasturi, & Octavia Camps. (2008). Extraction and temporal segmentation of multiple motion trajectories in human motion. Image and Vision Computing. 26(12). 1621–1635. 11 indexed citations
8.
Min, Junghye & Rangachar Kasturi. (2005). Extraction and Temporal Segmentation of Multiple Motion Trajectories in Human Motion. 118–118. 14 indexed citations
9.
Min, Junghye & Rangachar Kasturi. (2004). Activity recognition based on multiple motion trajectories. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 199–202 Vol.4. 12 indexed citations
10.
Mariano, Vladimir Y., et al.. (2003). Performance evaluation of object detection algorithms. 3. 965–969. 97 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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