Jung‐Hong Chuang

630 citations
60 papers · 377 · h-index 12

Impact in

Papers in

Jung‐Hong Chuang

56 papers receiving 354 citations

Peers

Jung‐Hong Chuang
Comparison fields: 5 of 71
  • Computer Graphics and Computer-Aided Design 164
  • Human-Computer Interaction 51
  • Computer Vision and Pattern Recognition 177
  • Computational Mechanics 154
  • Geology 13
Replace Jose Echevarria with:
Jose Echevarria United States
Philip Willis United Kingdom
Maria Shugrina Canada
Wen‐Kai Tai Taiwan
Jieun Lee South Korea
Masayuki Nakajima Japan
Michael Shantz United States
Zhiyong Huang China
Chengying Gao China
Matthias M. Wloka United States
Jung‐Hong Chuang relative to Jose Echevarria United States Jose Echevarria's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jung‐Hong Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Jung‐Hong Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung‐Hong Chuang. 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 Jung‐Hong Chuang. The network helps show where Jung‐Hong Chuang may publish in the future.

Co-authors

The 22 scholars most cited alongside Jung‐Hong Chuang, 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 Jung‐Hong Chuang Line = papers co-authored together Jung‐Hong Chuang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201727
2 199720
3 198919
4 201318
5 199517
6 202117
7 200614
8 200314
9 200814
10 200313
11 200812
12 201912
13 201210
14 201810
15 200610
16 202010
17 20209
18 19959
19 20138
20 20188

About Jung‐Hong Chuang

Jung‐Hong Chuang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Human-Computer Interaction and Cognitive Neuroscience, having authored 60 papers that have together received 377 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (27 papers), 3D Shape Modeling and Analysis (19 papers), Advanced Vision and Imaging (15 papers), Computational Geometry and Mesh Generation (11 papers), Advanced Numerical Analysis Techniques (11 papers), Virtual Reality Applications and Impacts (10 papers), Interactive and Immersive Displays (6 papers) and Augmented Reality Applications (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (164 citations), Human-Computer Interaction (51 citations), Computer Vision and Pattern Recognition (177 citations), Computational Mechanics (154 citations) and Geology (13 citations). Jung‐Hong Chuang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Wen‐Chieh Lin, Yu-Shuen Wang, Christoph M. Hoffmann, Sabarish V. Babu, Chih‐Chun Chen, Wei Hwang, Chieh‐Yu Chen, Ming‐Han Tsai, Cheng Lin and Chih‐Wen Chang. Their work appears in journals such as The Visual Computer, Computers & Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics and Virtual Reality.

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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