Won-Chul Bang

1.4k citations
48 papers · 978 · h-index 14

Impact in

Papers in

Won-Chul Bang

44 papers receiving 914 citations

Peers

Won-Chul Bang
Comparison fields: 5 of 121
  • Human-Computer Interaction 269
  • Health Informatics 30
  • Computer Vision and Pattern Recognition 321
  • Radiology, Nuclear Medicine and Imaging 292
  • Artificial Intelligence 290
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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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017269
2 2004228
3 200457
4 200444
5 200642
6 200234
7
Two-stage Recognition of Raw Acceleration Signals for 3-D Gesture-Understanding Cell Phones
200527
8 202025
9 200423
10 200421
11 200317
12 201416
13 201614
14 201713
15 200213
16 201711
17
A 3D Hand-drawn Gesture Input Device Using Fuzzy ARTMAP-based Recognizer
200610
18
LARES: An Intelligent Sweet Home for Assisting the Elderly and the Handicapped
200210
19 20179
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 48 papers that have together received 978 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (13 papers), Ultrasound Imaging and Elastography (6 papers), Medical Image Segmentation Techniques (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Gaze Tracking and Assistive Technology (5 papers), Tactile and Sensory Interactions (5 papers), Interactive and Immersive Displays (5 papers) and Ultrasound and Hyperthermia Applications (5 papers). The work is most often cited by research in Human-Computer Interaction (269 citations), Health Informatics (30 citations), Computer Vision and Pattern Recognition (321 citations), Radiology, Nuclear Medicine and Imaging (292 citations) and Artificial Intelligence (290 citations). Won-Chul Bang has collaborated with scholars based in South Korea, China and Bulgaria. Frequent co-authors include Zeungnam Bien, D. Stefanov, Ja-Yeon Jeong, Moon Ho Park, Seokmin Han, Wonsik Kim, Sung-Jung Cho, Wook Chang, Jing Yang and Dong-Youn Kim. Their work appears in journals such as ULTRASONOGRAPHY, Ultrasound in Medicine & Biology, IEEE Transactions on Consumer Electronics, Abdominal Radiology and Fuzzy Optimization and Decision Making.

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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