Il Dong Yun

1.6k total citations
77 papers, 1.0k citations indexed

About

Il Dong Yun is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Il Dong Yun has authored 77 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 12 papers in Artificial Intelligence. Recurrent topics in Il Dong Yun's work include Medical Image Segmentation Techniques (20 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Advanced Vision and Imaging (13 papers). Il Dong Yun is often cited by papers focused on Medical Image Segmentation Techniques (20 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Advanced Vision and Imaging (13 papers). Il Dong Yun collaborates with scholars based in South Korea, United States and Puerto Rico. Il Dong Yun's co-authors include Sang Uk Lee, Soochahn Lee, Kyoung Mu Lee, Seung Yeon Shin, Sang Ho Park, Hackjoon Shim, Nam Ik Cho, Sang‐Uk Lee, In Kyu Park and Kyong Joon Lee and has published in prestigious journals such as PLoS ONE, Radiology and IEEE Access.

In The Last Decade

Il Dong Yun

73 papers receiving 978 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Il Dong Yun South Korea 19 542 255 197 157 114 77 1.0k
Seok‐Bum Ko Canada 23 511 0.9× 333 1.3× 502 2.5× 290 1.8× 485 4.3× 192 2.4k
Michal Sofka United States 15 557 1.0× 483 1.9× 132 0.7× 62 0.4× 109 1.0× 33 971
Christian Roux France 21 903 1.7× 720 2.8× 195 1.0× 70 0.4× 191 1.7× 118 1.7k
Shadrokh Samavi Iran 23 1.4k 2.6× 305 1.2× 470 2.4× 116 0.7× 249 2.2× 156 2.3k
Jianhuang Wu China 21 380 0.7× 379 1.5× 162 0.8× 30 0.2× 231 2.0× 74 1.3k
Ekta Walia India 19 1.3k 2.4× 716 2.8× 726 3.7× 94 0.6× 225 2.0× 55 2.3k
Junding Sun China 18 612 1.1× 320 1.3× 462 2.3× 59 0.4× 143 1.3× 90 1.5k
Juan Ruiz‐Alzola Spain 13 303 0.6× 367 1.4× 74 0.4× 75 0.5× 189 1.7× 59 867
François Lauze Denmark 15 467 0.9× 264 1.0× 198 1.0× 44 0.3× 143 1.3× 55 989
Yungang Zhang China 13 407 0.8× 134 0.5× 208 1.1× 97 0.6× 40 0.4× 51 712

Countries citing papers authored by Il Dong Yun

Since Specialization
Citations

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

Fields of papers citing papers by Il Dong Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Il Dong Yun. 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 Il Dong Yun. The network helps show where Il Dong Yun may publish in the future.

Co-authorship network of co-authors of Il Dong Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Il Dong Yun. A scholar is included among the top collaborators of Il Dong Yun 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 Il Dong Yun. Il Dong Yun 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
1.
Shin, Hyu‐Soung, et al.. (2025). Development and Validation of a Computer Vision Dataset for Object Detection and Instance Segmentation in Earthwork Construction Sites. Applied Sciences. 15(16). 9000–9000. 2 indexed citations
2.
3.
Yun, Il Dong, et al.. (2023). Anomaly Detection through Grouping of SMD Machine Sounds Using Hierarchical Clustering. Applied Sciences. 13(13). 7569–7569. 3 indexed citations
4.
Yun, Il Dong, et al.. (2023). Regression to Classification: Ordinal Prediction of Calcified Vessels Using Customized ResNet50. IEEE Access. 11. 48783–48796. 5 indexed citations
5.
Yun, Il Dong, et al.. (2018). Residual Error Based Anomaly Detection Using Auto-Encoder in SMD Machine Sound. Sensors. 18(5). 1308–1308. 85 indexed citations
6.
Jung, Ho Yub, et al.. (2018). Automatic aortic valve landmark localization in coronary CT angiography using colonial walk. PLoS ONE. 13(7). e0200317–e0200317. 19 indexed citations
7.
Yun, Il Dong, et al.. (2018). Actor-Critic Reinforcement Learning for Automatic Left Atrial Appendage Segmentation. 518. 609–612. 1 indexed citations
8.
Kim, Joonghee, Kyuseok Kim, Kyuseok Kim, et al.. (2016). Prognostication of cardiac arrest survivors using low apparent diffusion coefficient cluster volume. Resuscitation. 100. 18–24. 8 indexed citations
9.
Yun, Il Dong, et al.. (2013). Data-Driven Interactive 3D Medical Image Segmentation Based on Structured Patch Model. Lecture notes in computer science. 23. 196–207. 5 indexed citations
10.
Yun, Il Dong, et al.. (2012). Nonrigid volume registration using second-order MRF model. PubMed. 28. 708–711. 2 indexed citations
11.
Lee, Soochahn, et al.. (2011). Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images. Computer Vision and Image Understanding. 115(12). 1710–1720. 29 indexed citations
12.
Lee, Soochahn, Soochahn Lee, Il Dong Yun, Sang Uk Lee, & Sang Uk Lee. (2010). Robust bilayer video segmentation by adaptive propagation of global shape and local appearance. Journal of Visual Communication and Image Representation. 21(7). 665–676. 9 indexed citations
13.
Shim, Hackjoon, C. Kent Kwoh, Il Dong Yun, Sang‐Uk Lee, & Kyongtae T. Bae. (2009). Simultaneous 3D segmentation of three bone compartments on high resolution knee MR images from osteoarthritis initiative (OAI) using graph cuts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7259. 72593P–72593P. 6 indexed citations
14.
Lee, Soochahn, Hackjoon Shim, Il Dong Yun, et al.. (2009). Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI). 23. 3381–3384. 4 indexed citations
15.
Shim, Hackjoon, et al.. (2006). Robust segmentation of cerebral arterial segments by a sequential Monte Carlo method: Particle filtering. Computer Methods and Programs in Biomedicine. 84(2-3). 135–145. 23 indexed citations
16.
Lee, Kyoung Mu, et al.. (2005). Asymmetric multi-phase deformable model for colon segmentation. II–1242. 2 indexed citations
17.
Yun, Il Dong, et al.. (2003). Edge-based approach to mesh simplification. 368–377.
18.
Yun, Il Dong, et al.. (2003). Modified Hausdorff distance for model-based 3-D object recognition from a single view. Journal of Visual Communication and Image Representation. 15(1). 27–43. 6 indexed citations
19.
Kim, Dong Hwan, Il Dong Yun, & Sang Uk Lee. (2002). Triangular Mesh Segmentation Based On Surface Normal. Journal of the Institute of Electronics Engineers of Korea. 39(2). 22–29. 2 indexed citations
20.
Cho, Nam Ik, Il Dong Yun, & Sang Uk Lee. (1991). A fast algorithm for 2-D DCT. 2197–2200 vol.3. 7 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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