Bing Yu

1.3k citations
47 papers · 813 · 1 hit paper · h-index 11

Impact in

Papers in

    • Generative Adversarial Networks and Image Synthesis 9
    • Advanced Image Processing Techniques 9
    • Face recognition and analysis 6
    • Advanced Vision and Imaging 5
    • Advanced Neural Network Applications 4
    • Face and Expression Recognition 4
    • Speech and Audio Processing 7

Bing Yu

39 papers receiving 778 citations

Bing Yu's Hit Papers

MLPerf Inference Benchmark 2020 · 346 citations
3460+2+4Years since publication100200300

Peers

Bing Yu
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 378
  • Hardware and Architecture 86
  • Signal Processing 117
  • Computational Mathematics 5
  • Artificial Intelligence 233
Replace Denny Zhou with:
Denny Zhou United States
John Glossner United States
Yanghan Wang Israel
Seunghun Jin South Korea
Cao Gao United States
Suyog Gupta United States
William Y. Chou Taiwan
Wenchao Li China
Chong‐Min Kyung South Korea
Bing Yu relative to Denny Zhou United States Denny Zhou's profile →
Citations per field
00.5×5×10×14×
Denny Zhou · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MLPerf Inference Benchmark
Hit paper breakdown →
2020346
2 2018142
3 201953
4 202130
5 201428
6 198727
7 202124
8 202019
9 201017
10 201915
11 202114
12 202010
13 20199
14 20229
15 20218
16 20226
17 20086
18 20025
19 20224
20 20214

About Bing Yu

Bing Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Artificial Intelligence and Safety, Risk, Reliability and Quality, having authored 47 papers that have together received 813 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (9 papers), Advanced Image Processing Techniques (9 papers), Advanced Adaptive Filtering Techniques (7 papers), Speech and Audio Processing (7 papers), Face recognition and analysis (6 papers), Advanced Vision and Imaging (5 papers), Advanced Neural Network Applications (4 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (378 citations), Hardware and Architecture (86 citations), Signal Processing (117 citations), Computational Mathematics (5 citations) and Artificial Intelligence (233 citations). Bing Yu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ran He, Yibo Hu, Zhenan Sun, Xiang Wu, Jie Cao, Chen Zhang, Lianwu Chen, Lei Ma, Xiguang Zheng and Xu Zhang. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Resources Environment and Sustainability, Electronics, Journal of Earth Science and The journal of nutrition health & aging.

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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