Ming Yu

444 citations
38 papers · 320 · h-index 10

Impact in

Papers in

    • Face and Expression Recognition 8
    • Advanced Image and Video Retrieval Techniques 7
    • Video Surveillance and Tracking Methods 4
    • Image Retrieval and Classification Techniques 4
    • Image and Signal Denoising Methods 4
    • Image Processing Techniques and Applications 4
    • Advanced Image Fusion Techniques 4

Ming Yu

30 papers receiving 300 citations

Peers

Ming Yu
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 210
  • Media Technology 58
  • Experimental and Cognitive Psychology 53
  • Human-Computer Interaction 14
  • Environmental Engineering 35
Replace Jiangxiong Fang with:
Jiangxiong Fang China
Yongjun Zhang China
T. Sree Sharmila India
Yun Ren China
Qingming Leng China
Sergiy Fefilatyev United States
M. Balasubramanian India
Mayank Arya Chandra India
Shuzhou Sun China
Ming Yu relative to Jiangxiong Fang China Jiangxiong Fang's profile →
Citations per field
00.5×5.3×
Jiangxiong Fang · 1×
Citations per year

Countries citing papers authored by Ming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201654
2 201938
3 201535
4 201929
5 201628
6 200722
7 200621
8 200914
9 201913
10 20209
11 20188
12 20227
13 20097
14 20186
15 20234
16 20204
17 20124
18 20202
19 20022
20 20251

About Ming Yu

Ming Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing, having authored 38 papers that have together received 320 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Emotion and Mood Recognition (5 papers), Image Processing Techniques and Applications (4 papers), Video Surveillance and Tracking Methods (4 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Image Fusion Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Media Technology (58 citations), Experimental and Cognitive Psychology (53 citations), Human-Computer Interaction (14 citations) and Environmental Engineering (35 citations). Ming Yu has collaborated with scholars based in China, South Korea and Ireland. Frequent co-authors include Gang Yan, Yingchun Guo, Yang Yu, Ziran Yuan, Can Huang, Lifei Wei, Liqin Cao, Jiaqiang Wang, Hanbing Qu and Bin Li. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Sensors, Signal Processing Image Communication, Optik and IEEE Access.

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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