Won-Chul Bang

1.6k citations
51 papers · 1.1k · h-index 14

Impact in

Papers in

Won-Chul Bang

46 papers receiving 1.0k citations

Peers

Won-Chul Bang
Comparison fields: 5 of 121
  • Human-Computer Interaction 270
  • Health Informatics 36
  • Computer Vision and Pattern Recognition 319
  • Radiology, Nuclear Medicine and Imaging 270
  • Artificial Intelligence 281
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Zhong Liu China
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Feyzullah Temurtaş Türkiye
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Wei Tang United States
Vidya K. Sudarshan Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Won-Chul Bang

Since Specialization
Citations

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

Fields of papers citing papers by Won-Chul Bang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won-Chul Bang. 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 Won-Chul Bang. The network helps show where Won-Chul Bang may publish in the future.

Co-authors

The 25 scholars most cited alongside Won-Chul Bang, 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 Won-Chul Bang Line = papers co-authored together Won-Chul Bang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017276
2 2004229
3 2019105
4 200457
5 200444
6 200642
7 200234
8 202027
9
Two-stage Recognition of Raw Acceleration Signals for 3-D Gesture-Understanding Cell Phones
200527
10 200423
11 200421
12 200317
13 201416
14 201614
15 201713
16 200213
17 201712
18
A 3D Hand-drawn Gesture Input Device Using Fuzzy ARTMAP-based Recognizer
200611
19
LARES: An Intelligent Sweet Home for Assisting the Elderly and the Handicapped
200210
20 20119

About Won-Chul Bang

Won-Chul Bang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Control and Systems Engineering, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (14 papers), Medical Image Segmentation Techniques (6 papers), Ultrasound Imaging and Elastography (5 papers), Robotics and Automated Systems (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Interactive and Immersive Displays (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Tactile and Sensory Interactions (5 papers). The work is most often cited by research in Human-Computer Interaction (270 citations), Health Informatics (36 citations), Computer Vision and Pattern Recognition (319 citations), Radiology, Nuclear Medicine and Imaging (270 citations) and Artificial Intelligence (281 citations). Won-Chul Bang has collaborated with scholars based in South Korea, United Kingdom and China. Frequent co-authors include Zeungnam Bien, D. Stefanov, Ja-Yeon Jeong, Moon Ho Park, Wonsik Kim, Seokmin Han, Sung-Jung Cho, Wook Chang, Jing Yang and Dong-Youn Kim. Their work appears in journals such as ULTRASONOGRAPHY, Ultrasound in Medicine & Biology, European Radiology, Abdominal Radiology and Korean Journal of Radiology.

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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