Jun-Pyo Hong

24 total papers · 1.0k total citations
14 papers, 541 citations indexed

About

Jun-Pyo Hong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geometry and Topology. According to data from OpenAlex, Jun-Pyo Hong has authored 14 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 4 papers in Geometry and Topology. Recurrent topics in Jun-Pyo Hong's work include Image Processing Techniques and Applications (5 papers), Advanced Image Processing Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). Jun-Pyo Hong is often cited by papers focused on Image Processing Techniques and Applications (5 papers), Advanced Image Processing Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). Jun-Pyo Hong collaborates with scholars based in South Korea, United States and Norway. Jun-Pyo Hong's co-authors include Seo-Won Ji, Sung-Jea Ko, Seung‐Won Jung, Sung‐Jin Cho, Jared Vicory, Stephen M. Pizer, Martin Styner, Seung-Jin Baek, Seungwook Kim and Byung‐Soo Kim and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Gynecologic Oncology.

In The Last Decade

Jun-Pyo Hong

14 papers receiving 529 citations

Hit Papers

Rethinking Coarse-to-Fine... 2021 2026 2022 2024 2021 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun-Pyo Hong 442 206 27 26 23 14 541
Nihar Kumar Mahato 226 0.5× 214 1.0× 32 1.2× 45 1.7× 25 1.1× 22 477
Shaoyang Zhu 419 0.9× 122 0.6× 39 1.4× 19 0.7× 18 0.8× 6 485
H.-S. Don 368 0.8× 97 0.5× 26 1.0× 38 1.5× 18 0.8× 16 468
M.-P. Dubuisson-Jolly 386 0.9× 48 0.2× 58 2.1× 25 1.0× 35 1.5× 10 465
Yonggang Shi 376 0.9× 72 0.3× 40 1.5× 34 1.3× 81 3.5× 30 512
A.D. Brink 418 0.9× 158 0.8× 72 2.7× 15 0.6× 30 1.3× 9 542
Yan Liu 298 0.7× 116 0.6× 86 3.2× 50 1.9× 19 0.8× 18 509
Erum Arif Khan 432 1.0× 104 0.5× 24 0.9× 26 1.0× 10 0.4× 8 517
Luis Mazorra 372 0.8× 135 0.7× 13 0.5× 19 0.7× 23 1.0× 18 479
Kenneth J. Breeding 526 1.2× 80 0.4× 67 2.5× 15 0.6× 5 0.2× 8 613

Countries citing papers authored by Jun-Pyo Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Pyo Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Pyo Hong. 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 Jun-Pyo Hong. The network helps show where Jun-Pyo Hong may publish in the future.

Co-authorship network of co-authors of Jun-Pyo Hong

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

All Works

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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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