Sang‐Woon Kim

891 citations
55 papers · 495 indexed · h-index 11

Sang‐Woon Kim

45 papers receiving 456 citations

Peers

Sang‐Woon Kim
Comparison fields: 5 of 105
  • Artificial Intelligence 277
  • Software 24
  • Computer Vision and Pattern Recognition 111
  • Information Systems 100
  • General Social Sciences 12
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Bin Zhou China
Luís P. F. Garcia Brazil
Gábor Bella Italy
Christian Tschudin Switzerland
Alina Lazar United States
Cherri M. Pancake United States
Eric W. Cooper Japan
S TAN China
Zonghan Yang China
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Citations per year

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

The 23 scholars most cited alongside Sang‐Woon Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sang‐Woon Kim Line = papers co-authored together Sang‐Woon Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20190
3 2019200
4 20171
5 20168
6
Feature Decomposition Using Mutual Information for SemiBoost Learning
20150
7 20151
8 20143
9 20139
10
A Study on the Residential Alteration for the Disabled Based on the Types of Disability and Characteristics of the Living Behavior
20120
11 20111
12
A Suggestion Connecting Living Facilities for the Disabled and the Elderly
20091
13 200812
14 200817
15 20072
16
A Multi-thresholding Approach Improved with Otsu's Method
20060
17 20054
18 20031
19
Development of a Sign-Language Communication System between Korean and Japanese Using 3D Animation Techniques and Intelligent Communication Method on the Internet
20002
20
Design of a Sign-Language Keyframe Editor Using Inverse Kinematics
20001

About Sang‐Woon Kim

Sang‐Woon Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 55 papers that have together received 495 indexed citations. Recurring topics across this work include Face and Expression Recognition (17 papers), Machine Learning and Data Classification (15 papers), Neural Networks and Applications (7 papers), Seismic Imaging and Inversion Techniques (6 papers), Hand Gesture Recognition Systems (4 papers), Software Engineering Research (3 papers), Educational Systems and Policies (3 papers) and Seismology and Earthquake Studies (3 papers). The work is most often cited by research in Artificial Intelligence (277 citations), Software (24 citations) and Computer Vision and Pattern Recognition (111 citations). Sang‐Woon Kim has collaborated with scholars based in South Korea, Canada and China. Frequent 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. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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