Bing Yu

1.1k citations
58 papers · 597 · h-index 14

Impact in

Papers in

Bing Yu

52 papers receiving 560 citations

Peers

Bing Yu
Comparison fields: 5 of 81
  • Media Technology 152
  • Acoustics and Ultrasonics 12
  • Software 55
  • Human-Computer Interaction 74
  • Computer Vision and Pattern Recognition 174
Replace Jason Lawrence with:
Jason Lawrence United States
Francesco Banterle Italy
Simon Gibson United Kingdom
Kyungwoo Lee South Korea
Shinichiro Haruyama Japan
Takuya Funatomi Japan
Noriaki Ando Japan
Sang-Hoon Kim South Korea
Dong-Wook Kim South Korea
Ashwin Ashok United States
Bing Yu relative to Jason Lawrence United States Jason Lawrence's profile →
Citations per field
00.5×2.8×
Jason Lawrence · 1×
Citations per year

Countries citing papers authored by Bing Yu

Since Specialization
Citations

This map shows the geographic impact of Bing Yu'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 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 more than expected).

Fields of papers citing papers by Bing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200650
2 201745
3 202043
4 200841
5 202241
6 201838
7 201731
8 199631
9 201728
10 202326
11 199720
12 201818
13 201518
14 202316
15 202212
16 202411
17 200711
18 202011
19 201710
20 20228

About Bing Yu

Bing Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Electrical and Electronic Engineering and Artificial Intelligence, having authored 58 papers that have together received 597 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (9 papers), Image and Video Quality Assessment (6 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Image Processing Techniques (5 papers), Tactile and Sensory Interactions (5 papers), Software Testing and Debugging Techniques (5 papers), Software Reliability and Analysis Research (5 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Media Technology (152 citations), Acoustics and Ultrasonics (12 citations), Software (55 citations), Human-Computer Interaction (74 citations) and Computer Vision and Pattern Recognition (174 citations). Bing Yu has collaborated with scholars based in China, Switzerland and Canada. Frequent co-authors include Xingshi He, Chao Ping Chen, Yishi Wu, Lei Zhou, Yingfeng Cai, Weigong Zhang, Chao Zhou, Lei Ma, Tianchi Huang and Yuhang Wu. Their work appears in journals such as Optics Express, Physical review. B., IEEE Transactions on Instrumentation and Measurement, Journal of Imaging Science and Technology and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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