Jun-Pyo Hong

1.0k total citations · 1 hit paper
14 papers, 554 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 554 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 Advanced Image Processing Techniques (5 papers), Image Processing Techniques and Applications (5 papers) and Morphological variations and asymmetry (4 papers). Jun-Pyo Hong is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Image Processing Techniques and Applications (5 papers) and Morphological variations and asymmetry (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, Stephen M. Pizer, Jared Vicory, Martin Styner, Seung-Jin Baek, Seungwook Kim and Beatriz Paniagua 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 542 citations

Hit Papers

Rethinking Coarse-to-Fine Approach in Single Image Deblur... 2021 2026 2022 2024 2021 100 200 300 400

Peers

Jun-Pyo Hong
H.-S. Don United States
M.-P. Dubuisson-Jolly United States
Long Sun China
Giuseppe Pápari Netherlands
Sebastian Seung United States
Kevin Karsch United States
Mauricio Delbracio United States
Jun-Pyo Hong
Citations per year, relative to Jun-Pyo Hong Jun-Pyo Hong (= 1×) peers Yonggang Shi

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

14 of 14 papers shown
1.
Hong, Jun-Pyo, Hanim Kwon, Euyhyun Park, et al.. (2023). The semicircular canal function is preserved with little impact on falls in patients with mild Parkinson's disease. Parkinsonism & Related Disorders. 118. 105933–105933. 4 indexed citations
2.
Ji, Seo-Won, Seungwook Kim, Jun-Pyo Hong, et al.. (2022). XYDeblur: Divide and Conquer for Single Image Deblurring. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17400–17409. 29 indexed citations
4.
Hong, Jun-Pyo, et al.. (2021). Fitting unbranching skeletal structures to objects. Medical Image Analysis. 70. 102020–102020. 9 indexed citations
5.
Cho, Sung‐Jin, Seo-Won Ji, Jun-Pyo Hong, Seung‐Won Jung, & Sung-Jea Ko. (2021). Rethinking Coarse-to-Fine Approach in Single Image Deblurring. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4621–4630. 424 indexed citations breakdown →
6.
Ji, Seo-Won, et al.. (2021). Robust Single Image Deblurring Using Gyroscope Sensor. IEEE Access. 9. 80835–80846. 5 indexed citations
7.
Hong, Jun-Pyo, Sung‐Jin Cho, Jeongmin Lee, Seo-Won Ji, & Sung-Jea Ko. (2020). Single Image Deblurring Based on Auxiliary Sobel Loss Function. 1–3. 1 indexed citations
8.
Lee, Jeongmin, Seo-Won Ji, Sung‐Jin Cho, Jun-Pyo Hong, & Sung-Jea Ko. (2020). Deep Learning-Based Deblur Using Gyroscope Data. 1–4. 3 indexed citations
9.
Vicory, Jared, Laura E. Pascal, P.R. Hernández, et al.. (2018). SlicerSALT: Shape AnaLysis Toolbox. Lecture notes in computer science. 11167. 65–72. 23 indexed citations
10.
Styner, Martin, Jared Vicory, Shireen Elhabian, et al.. (2017). Skeletal Shape Correspondence Through Entropy. IEEE Transactions on Medical Imaging. 37(1). 1–11. 19 indexed citations
11.
Hong, Jun-Pyo, Jared Vicory, Jörn Schulz, et al.. (2016). Non-Euclidean classification of medically imaged objects via s-reps. Medical Image Analysis. 31. 37–45. 13 indexed citations
12.
Ko, Eon‐Suk, et al.. (2014). Metformin and the risk of endometrial cancer: A population-based cohort study. Gynecologic Oncology. 133. 32–32. 6 indexed citations
14.
Hong, Jun-Pyo, et al.. (2002). The Clinical Effects of Socheongryong-tang in Asthmatic Patients. The Journal of Internal Korean Medicine. 23(4). 651–660. 2 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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