Changick Kim

7.1k total citations · 1 hit paper
200 papers, 3.9k citations indexed

About

Changick Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Changick Kim has authored 200 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 29 papers in Media Technology. Recurrent topics in Changick Kim's work include Advanced Image and Video Retrieval Techniques (55 papers), Advanced Vision and Imaging (34 papers) and Visual Attention and Saliency Detection (32 papers). Changick Kim is often cited by papers focused on Advanced Image and Video Retrieval Techniques (55 papers), Advanced Vision and Imaging (34 papers) and Visual Attention and Saliency Detection (32 papers). Changick Kim collaborates with scholars based in South Korea, United States and Canada. Changick Kim's co-authors include Jenq–Neng Hwang, Taekyung Kim, Chanho Jung, Seokeon Choi, Wonjun Kim, Vasudev Bhaskaran, Jaehoon Choi, Minki Jeong, Seunghyeon Kim and Sumin Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Changick Kim

179 papers receiving 3.7k citations

Hit Papers

Hi-CMD: Hierarchical Cross-Modality Disentanglement for V... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changick Kim South Korea 31 3.3k 1.0k 468 333 278 200 3.9k
Arif Mahmood Pakistan 28 1.7k 0.5× 887 0.9× 375 0.8× 357 1.1× 216 0.8× 121 2.7k
Christophoros Nikou Greece 23 1.7k 0.5× 1.0k 1.0× 234 0.5× 251 0.8× 318 1.1× 107 2.4k
Esa Rahtu Finland 29 2.4k 0.7× 556 0.5× 274 0.6× 267 0.8× 621 2.2× 95 3.5k
Hongtao Xie China 30 2.4k 0.7× 1.1k 1.1× 498 1.1× 247 0.7× 181 0.7× 153 3.7k
Ishan Misra United States 18 3.0k 0.9× 2.2k 2.1× 266 0.6× 143 0.4× 235 0.8× 35 4.7k
Nannan Wang China 38 4.0k 1.2× 804 0.8× 559 1.2× 313 0.9× 627 2.3× 246 5.1k
Xianghua Xie United Kingdom 25 1.4k 0.4× 633 0.6× 291 0.6× 245 0.7× 183 0.7× 146 2.8k
Lizhuang Ma China 38 3.5k 1.1× 941 0.9× 709 1.5× 187 0.6× 388 1.4× 321 4.9k
Humphrey Shi United States 30 3.2k 1.0× 1.0k 1.0× 718 1.5× 500 1.5× 128 0.5× 93 4.2k
Qifeng Chen Hong Kong 35 4.2k 1.3× 490 0.5× 930 2.0× 284 0.9× 223 0.8× 115 5.2k

Countries citing papers authored by Changick Kim

Since Specialization
Citations

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

Fields of papers citing papers by Changick Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changick Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Changick Kim. A scholar is included among the top collaborators of Changick Kim 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 Changick Kim. Changick Kim 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.
Kim, Changick, et al.. (2025). Modality mixer exploiting complementary information for multi-modal action recognition. Computer Vision and Image Understanding. 256. 104358–104358.
2.
Kim, Changick, et al.. (2024). FCGNet: Foreground and Class Guided Network for human parsing. Pattern Recognition. 157. 110879–110879. 1 indexed citations
3.
Park, Jinyoung, et al.. (2024). Sketch-based Video Object Localization. 8465–8474.
4.
Kim, Changick, et al.. (2024). Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(9). 6326–6340.
5.
Kim, Changick, et al.. (2023). Fast online multi-target multi-camera tracking for vehicles. Applied Intelligence. 53(23). 28994–29004. 6 indexed citations
6.
Lee, Sumin, et al.. (2022). Learning to Discriminate Information for Online Action Detection: Analysis and Application. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–17. 4 indexed citations
7.
Kim, Changick, et al.. (2022). Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images. 2022 IEEE International Conference on Image Processing (ICIP). 2152–2156. 1 indexed citations
8.
Moon, Jinyoung, et al.. (2020). Temporal filtering networks for online action detection. Pattern Recognition. 111. 107695–107695. 16 indexed citations
9.
Choi, Jaehoon, Minki Jeong, Taekyung Kim, & Changick Kim. (2019). Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. arXiv (Cornell University). 67. 6 indexed citations
10.
Lee, Hankyeol, Seokeon Choi, Youngeun Kim, & Changick Kim. (2019). Bilinear Siamese Networks with Background Suppression for Visual Object Tracking.. British Machine Vision Conference. 8. 2 indexed citations
11.
Choi, Jiwon & Changick Kim. (2012). Unsupervised detection of surface defects: A two-step approach. 1037–1040. 26 indexed citations
12.
Kim, Jaekwang, Jae-Ho Lee, & Changick Kim. (2011). Video Object Extraction Using Contour Information. Journal of the Institute of Electronics Engineers of Korea. 48(1). 33–45. 1 indexed citations
13.
Kim, Won‐Jun, et al.. (2010). Human Action Recognition Using Ordinal Measure of Accumulated Motion. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Kim, Wonjoon & Changick Kim. (2009). An Efficient Indoor-Outdoor Scene Classification Method. Journal of the Institute of Electronics Engineers of Korea. 46(5). 48–55. 1 indexed citations
15.
Kim, Won‐Jun, et al.. (2007). Raising Visual Experience of Soccer Video for Mobile Viewers. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 13(3). 165–178.
16.
Kim, Won‐Jun & Changick Kim. (2007). Text Region Extraction from Videos using the Harris Corner Detector. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 34(7). 646–654. 2 indexed citations
17.
Kim, Changick, et al.. (2006). An Intelligent Display Scheme of Soccer Video for Multimedia Mobile Devices. Journal of Broadcast Engineering. 11(2). 207–221. 1 indexed citations
18.
Kim, Won‐Jun & Changick Kim. (2006). Scoreboard Extraction from Soccer Videos for Multimedia Mobile Users. 11–14. 2 indexed citations
19.
Kim, Changick & Vasudev Bhaskaran. (2005). Spatiotemporal sequence matching for efficient video copy detection. IEEE Transactions on Circuits and Systems for Video Technology. 15(1). 127–132. 155 indexed citations
20.
Kim, Changick. (2005). Segmenting a low-depth-of-field image using morphological filters and region merging. IEEE Transactions on Image Processing. 14(10). 1503–1511. 51 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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