Mingde Yao

695 citations
28 papers · 373 · h-index 13

Impact in

Papers in

    • Advanced Image Processing Techniques 11
    • Advanced Vision and Imaging 9
    • Image Enhancement Techniques 7
    • Image and Signal Denoising Methods 5
    • Optical measurement and interference techniques 4
    • Advanced Image Fusion Techniques 5
    • Image Processing Techniques and Applications 4

Mingde Yao

22 papers receiving 362 citations

Peers

Mingde Yao
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 240
  • Media Technology 100
  • Insect Science 88
  • Instrumentation 14
  • Endocrinology 10
Replace Yani Zhu with:
Yani Zhu China
Minmin Wang China
Jiaming Xu China
Akio Miyazaki Japan
Carlos J. García–Orellana Spain
Horacio M. González–Velasco Spain
Kilho Son United States
M. Suganthy India
Koichiro Yamaguchi Switzerland
Juntao Zhang China
Mingde Yao relative to Yani Zhu China Yani Zhu's profile →
Citations per field
00.5×4.8×
Yani Zhu · 1×
Citations per year

Countries citing papers authored by Mingde Yao

Since Specialization
Citations

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

Fields of papers citing papers by Mingde Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200985
2 202345
3 202228
4 202426
5 202220
6 201920
7 202119
8 202216
9 201116
10 202315
11 202314
12 202213
13 202112
14 202312
15 202311
16 20238
17 20244
18 20253
19 20242
20 20052

About Mingde Yao

Mingde Yao is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Instrumentation, Materials Chemistry and Plant Science, having authored 28 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (11 papers), Advanced Vision and Imaging (9 papers), Image Enhancement Techniques (7 papers), Advanced Image Fusion Techniques (5 papers), Image and Signal Denoising Methods (5 papers), Image Processing Techniques and Applications (4 papers), Optical measurement and interference techniques (4 papers) and Advanced Optical Sensing Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (240 citations), Media Technology (100 citations), Insect Science (88 citations), Instrumentation (14 citations) and Endocrinology (10 citations). Mingde Yao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yidong Wu, Zhenyu Wang, Zhiwei Xiong, Jie Huang, Man Zhou, Feng Zhao, Dongliang He, Jinghao Zhang, Zhihong Pan and Lizhi Wang. Their work appears in journals such as Optics Express, Pest Management Science, IEEE Transactions on Image Processing, Analytical Methods and IEEE Transactions on Multimedia.

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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