Bing‐Yu Chen

9.4k citations
268 papers · 4.8k · h-index 38

Impact in

Papers in

Bing‐Yu Chen

257 papers receiving 4.6k citations

Peers

Bing‐Yu Chen
Comparison fields: 5 of 187
  • Human-Computer Interaction 1.5k
  • Computer Graphics and Computer-Aided Design 501
  • Computer Vision and Pattern Recognition 1.5k
  • Cognitive Neuroscience 1.2k
  • Health, Toxicology and Mutagenesis 572
Replace Wei Xu with:
Wei Xu China
Young J. Kim South Korea
Gregory J. Ward United States
Ting Yao China
John F. Hughes United States
Andreas Weber⋆ Germany
Jan Cornelis Belgium
Jaehyun Park South Korea
Aimin Hao China
Sung‐Hee Lee South Korea
Bing‐Yu Chen relative to Wei Xu China Wei Xu's profile →
Citations per field
00.5×10×20×33.4×
Wei Xu · 1×
Citations per year

Countries citing papers authored by Bing‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bing‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing‐Yu Chen. 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 Bing‐Yu Chen. The network helps show where Bing‐Yu Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Bing‐Yu Chen, 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 Bing‐Yu Chen Line = papers co-authored together Bing‐Yu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 268 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022182
2 2013152
3 2009127
4 2015112
5 201598
6 201895
7 201494
8 201690
9 200879
10 198171
11 200869
12 200965
13 201164
14 201756
15 200556
16 201855
17 201555
18 201255
19 201654
20 201754

About Bing‐Yu Chen

Bing‐Yu Chen is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 268 papers that have together received 4.8k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (65 papers), Interactive and Immersive Displays (60 papers), Computer Graphics and Visualization Techniques (55 papers), 3D Shape Modeling and Analysis (41 papers), Advanced Vision and Imaging (35 papers), Human Motion and Animation (24 papers), Augmented Reality Applications (24 papers) and Advanced Image and Video Retrieval Techniques (21 papers). The work is most often cited by research in Human-Computer Interaction (1.5k citations), Computer Graphics and Computer-Aided Design (501 citations), Computer Vision and Pattern Recognition (1.5k citations), Cognitive Neuroscience (1.2k citations) and Health, Toxicology and Mutagenesis (572 citations). Bing‐Yu Chen has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Rong-Hao Liang, Liwei Chan, Tomoyuki Nishita, Yue Leon Guo, Kai-Yin Cheng, Ming Ouhyoung, Da-Yuan Huang, Yung‐Yu Chuang, Shengjie Luo and Yosuke Bando. Their work appears in journals such as Computer Graphics Forum, Environmental Research, The Visual Computer, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

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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