Ki-Sang Hong

1.8k total citations
57 papers, 1000 citations indexed

About

Ki-Sang Hong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Ki-Sang Hong has authored 57 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 8 papers in Aerospace Engineering. Recurrent topics in Ki-Sang Hong's work include Advanced Vision and Imaging (26 papers), Image and Object Detection Techniques (8 papers) and Optical measurement and interference techniques (8 papers). Ki-Sang Hong is often cited by papers focused on Advanced Vision and Imaging (26 papers), Image and Object Detection Techniques (8 papers) and Optical measurement and interference techniques (8 papers). Ki-Sang Hong collaborates with scholars based in South Korea and United States. Ki-Sang Hong's co-authors include Jeong-Hun Jang, Seungyong Lee, Seongjin Park, Yongduek Seo, Jong Sung Kim, Dae‐Woong Kim, G.J. Kim, Henry Kang, Chi Yoon Jeong and Jong Sung Kim and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Ki-Sang Hong

57 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ki-Sang Hong South Korea 17 778 240 121 117 117 57 1000
Sukhendu Das India 15 552 0.7× 212 0.9× 210 1.7× 187 1.6× 59 0.5× 91 1.0k
Rudolf Mester Germany 16 725 0.9× 108 0.5× 49 0.4× 69 0.6× 237 2.0× 85 910
Mei Yu China 24 1.6k 2.1× 544 2.3× 45 0.4× 58 0.5× 33 0.3× 162 1.8k
Pavel Zemčík Czechia 17 721 0.9× 287 1.2× 30 0.2× 24 0.2× 149 1.3× 95 984
Shuo Zhang China 16 913 1.2× 229 1.0× 18 0.1× 58 0.5× 55 0.5× 57 1.1k
J. Batlle Spain 14 644 0.8× 126 0.5× 231 1.9× 21 0.2× 176 1.5× 35 949
Vincent Frémont France 15 395 0.5× 82 0.3× 51 0.4× 84 0.7× 228 1.9× 61 682
J. Brian Burns United States 5 837 1.1× 124 0.5× 92 0.8× 117 1.0× 416 3.6× 18 1.0k
Zhengqin Li United States 12 897 1.2× 234 1.0× 21 0.2× 49 0.4× 76 0.6× 24 1.2k
Martin Čadík Czechia 16 780 1.0× 221 0.9× 21 0.2× 37 0.3× 135 1.2× 36 978

Countries citing papers authored by Ki-Sang Hong

Since Specialization
Citations

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

Fields of papers citing papers by Ki-Sang Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ki-Sang Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Ki-Sang Hong. A scholar is included among the top collaborators of Ki-Sang 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 Ki-Sang Hong. Ki-Sang Hong 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.
Hong, Ki-Sang, et al.. (2017). Deep network aided by guiding network for pedestrian detection. Pattern Recognition Letters. 90. 43–49. 16 indexed citations
2.
Kim, Jong Sung & Ki-Sang Hong. (2008). Color–texture segmentation using unsupervised graph cuts. Pattern Recognition. 42(5). 735–750. 48 indexed citations
3.
Kim, Dae‐Woong & Ki-Sang Hong. (2008). Practical background estimation for mosaic blending with patch-based Markov random fields. Pattern Recognition. 41(7). 2145–2155. 8 indexed citations
4.
Hong, Ki-Sang, et al.. (2008). A fast CIS still image stabilization method without parallax and moving object problems. IEEE Transactions on Consumer Electronics. 54(2). 197–205. 5 indexed citations
5.
Hong, Ki-Sang, et al.. (2007). Affine Motion Based CMOS Distortion Analysis and CMOS Digital Image Stabilization. IEEE Transactions on Consumer Electronics. 53(3). 833–841. 31 indexed citations
6.
Hong, Ki-Sang, et al.. (2006). Image segmentation by unsupervised sparse clustering. Pattern Recognition Letters. 27(14). 1650–1664. 21 indexed citations
7.
Hong, Ki-Sang, et al.. (2005). High Dynamic Range Video through Fusion of Exposured-Controlled Frames.. Machine Vision and Applications. 546–549. 4 indexed citations
8.
9.
Hong, Ki-Sang, et al.. (2005). ESTIMATING APPROXIMATE AVERAGE SHAPE AND MOTION OF DEFORMING OBJECTS WITH A MONOCULAR VIEW. International Journal of Pattern Recognition and Artificial Intelligence. 19(4). 585–601. 3 indexed citations
10.
Kim, Dae Woong, Stephen Lin, Ki-Sang Hong, & Heung‐Yeung Shum. (2002). Variational Specular Separation Using Color and Polarization.. Open Access System for Information Sharing (Pohang University of Science and Technology). 72(1). 176–179. 14 indexed citations
11.
Jang, Jeong-Hun, et al.. (2001). Adaptive skin-color filter. Pattern Recognition. 34(5). 1067–1073. 66 indexed citations
12.
Hong, Ki-Sang, et al.. (2001). Practical ways to calculate camera lens distortion for real-time camera calibration. Pattern Recognition. 34(6). 1199–1206. 18 indexed citations
13.
Hong, Ki-Sang, et al.. (2000). Enhanced Augmented Reality with Shadows in Naturally Illuminated Environments.. Machine Vision and Applications. 27–30. 1 indexed citations
14.
Seo, Yongduek, Anders Heyden, & Ki-Sang Hong. (2000). Flexible Auto-Calibration and Its Application to Augmented Reality.. Machine Vision and Applications. 23–26. 2 indexed citations
15.
Jang, Jeong-Hun, et al.. (2000). <title>Road detection in spaceborne SAR images using genetic algorithm</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4053. 130–138. 1 indexed citations
16.
Seo, Yongduek, et al.. (2000). Real-Time Camera Calibration for Virtual Studio. Real-Time Imaging. 6(6). 433–448. 13 indexed citations
17.
Jang, Jeong-Hun, et al.. (2000). Road detection in SAR images using genetic algorithm with region growing concept. 1. 688–691 vol.2. 6 indexed citations
18.
Jang, Jeong-Hun, et al.. (1999). Road detection in spaceborne SAR images based on ridge extraction. 735–739 vol.2. 10 indexed citations
19.
Seo, Yongduek & Ki-Sang Hong. (1998). Auto-Calibration of a Rotating and Zooming Camera.. Machine Vision and Applications. 274–277. 16 indexed citations
20.
Jang, Jeong-Hun & Ki-Sang Hong. (1998). Detection of Curvilinear Structures Using the Euclidean Distance Transform.. Machine Vision and Applications. 102–105. 6 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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