Sang‐Woon Kim

891 total citations
55 papers, 495 citations indexed

About

Sang‐Woon Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sang‐Woon Kim has authored 55 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Sang‐Woon Kim's work include Face and Expression Recognition (17 papers), Machine Learning and Data Classification (15 papers) and Neural Networks and Applications (7 papers). Sang‐Woon Kim is often cited by papers focused on Face and Expression Recognition (17 papers), Machine Learning and Data Classification (15 papers) and Neural Networks and Applications (7 papers). Sang‐Woon Kim collaborates with scholars based in South Korea, Canada and China. Sang‐Woon Kim's co-authors include Joon‐Min Gil, B. John Oommen, Chunxia Zhang, Xiaoli Wei, Shuang Xu, Yongjun Wang, Yu‐Seung Ma, Yong Rae Kwon, Jiangshe Zhang and Ole‐Christoffer Granmo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition.

In The Last Decade

Sang‐Woon Kim

45 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Woon Kim South Korea 11 277 111 100 42 36 55 495
Yang Xiang China 13 175 0.6× 60 0.5× 129 1.3× 34 0.8× 47 1.3× 47 481
Bin Zhou China 17 312 1.1× 42 0.4× 203 2.0× 128 3.0× 30 0.8× 100 743
Alina Lazar United States 10 143 0.5× 22 0.2× 188 1.9× 30 0.7× 14 0.4× 40 428
Miloš Savić Serbia 12 125 0.5× 16 0.1× 108 1.1× 74 1.8× 65 1.8× 55 427
Eyal Amir United States 15 606 2.2× 68 0.6× 77 0.8× 13 0.3× 11 0.3× 68 837
Gábor Bella Italy 11 279 1.0× 69 0.6× 76 0.8× 7 0.2× 11 0.3× 38 431
Xiaofei Liu China 6 286 1.0× 67 0.6× 192 1.9× 19 0.5× 86 2.4× 18 443
Ali Rodan Jordan 13 774 2.8× 41 0.4× 82 0.8× 21 0.5× 9 0.3× 40 967
S TAN China 6 665 2.4× 104 0.9× 246 2.5× 7 0.2× 6 0.2× 7 827

Countries citing papers authored by Sang‐Woon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Woon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang‐Woon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Woon Kim. A scholar is included among the top collaborators of Sang‐Woon 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 Sang‐Woon Kim. Sang‐Woon 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.
Wei, Xiaoli, et al.. (2024). Seismic Data Interpolation via Denoising Diffusion Implicit Models With Coherence-Corrected Resampling. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 1 indexed citations
2.
Kim, Sang‐Woon. (2019). Problems and Development of Police Officials' Physical Fitness Tests. The Journal of the Korea Contents Association. 19(8). 609–619.
3.
Kim, Sang‐Woon & Joon‐Min Gil. (2019). Research paper classification systems based on TF-IDF and LDA schemes. Human-centric Computing and Information Sciences. 9(1). 200 indexed citations
4.
Kim, Sang‐Woon. (2017). Comparison of Factors Influencing to Mobilization of Police to Crowd Gathering Occasion. The Journal of the Korea Contents Association. 17(6). 643–649. 1 indexed citations
5.
Zhang, Chunxia, Jiangshe Zhang, & Sang‐Woon Kim. (2016). PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection. Computational Statistics. 31(4). 1237–1262. 8 indexed citations
6.
Kim, Sang‐Woon, et al.. (2015). Feature Decomposition Using Mutual Information for SemiBoost Learning. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 631–632.
7.
Kim, Sang‐Woon, et al.. (2015). On measuring confidence levels using multiple views of feature set for useful unlabeled data selection. Neurocomputing. 173. 1589–1601. 1 indexed citations
8.
Kim, Sang‐Woon, et al.. (2014). A Hybrid Selection Method of Helpful Unlabeled Data Applicable for Semi-Supervised Learning Algorithm. IEIE Transactions on Smart Processing and Computing. 3(4). 234–239. 3 indexed citations
9.
Kim, Sang‐Woon, et al.. (2013). On incrementally using a small portion of strong unlabeled data for semi-supervised learning algorithms. Pattern Recognition Letters. 41. 53–64. 9 indexed citations
10.
Park, Kwang-Jae, et al.. (2012). A Study on the Residential Alteration for the Disabled Based on the Types of Disability and Characteristics of the Living Behavior. Journal of the Architectural Institute of Korea. 28(4). 85–92.
11.
Kim, Sang‐Woon & B. John Oommen. (2011). On using prototype reduction schemes to optimize locally linear reconstruction methods. Pattern Recognition. 45(1). 498–511. 1 indexed citations
12.
Park, Kwang-Jae, et al.. (2009). A Suggestion Connecting Living Facilities for the Disabled and the Elderly. 15(1). 33–40. 1 indexed citations
13.
Oommen, B. John, et al.. (2008). A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(2). 466–476. 12 indexed citations
14.
Kim, Sang‐Woon & B. John Oommen. (2008). On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(2). 564–570. 17 indexed citations
15.
Oommen, B. John, Sang‐Woon Kim, & Geir Horn. (2007). On the estimation of independent binomial random variables using occurrence and sequential information. Pattern Recognition. 40(11). 3263–3276. 2 indexed citations
16.
Kim, Sang‐Woon, et al.. (2006). A Multi-thresholding Approach Improved with Otsu's Method. Journal of the Institute of Electronics Engineers of Korea. 43(5). 29–37.
17.
Kim, Sang‐Woon, et al.. (2005). On intelligent avatar communication using Korean, Chinese and Japanese sign-languages: an overview. 1. 747–752. 4 indexed citations
18.
Kim, Sang‐Woon, et al.. (2003). A comic emotional expression method and its applications. 1. 329–332. 1 indexed citations
19.
Kim, Sang‐Woon, Jongwoo Lee, & Yoshinao Aoki. (2000). Development of a Sign-Language Communication System between Korean and Japanese Using 3D Animation Techniques and Intelligent Communication Method on the Internet. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(6). 996–1004. 2 indexed citations
20.
Kim, Sang‐Woon, et al.. (2000). Design of a Sign-Language Keyframe Editor Using Inverse Kinematics. 2000(2). 106. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yang Xiang Breakdown of academic impact, for papers by Bin Zhou Breakdown of academic impact, for papers by Alina Lazar Breakdown of academic impact, for papers by Miloš Savić Breakdown of academic impact, for papers by Eyal Amir Breakdown of academic impact, for papers by Gábor Bella Breakdown of academic impact, for papers by Xiaofei Liu Breakdown of academic impact, for papers by Ali Rodan Breakdown of academic impact, for papers by S TAN
Rankless by CCL
2026