Ming Yao
Impact in
-
- Industrial Vision Systems and Defect Detection
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
-
- Optical measurement and interference techniques 6
- Advanced Vision and Imaging 5
- Image Enhancement Techniques 2
- Image and Object Detection Techniques 2
-
- Infrastructure Maintenance and Monitoring 4
- Co-authors
- Bugao Xu (13 shared papers)Qingguang Li (3 shared papers)Jingjing Sun (1 shared paper)Jun Ni (2 shared papers)Biao Leng (1 shared paper)Zhang Xiong (1 shared paper)Xiangyang Zhang (1 shared paper)Winnie Yu (1 shared paper)
- Journals
- Measurement Science and Technology (3 papers)Textile Research Journal (2 papers)Optical Engineering (2 papers)Multimedia Tools and Applications (1 paper)Obesity (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ming Yao
17 papers receiving 366 citations
Peers
Comparison fields: 5 of 61
- Industrial and Manufacturing Engineering 88
- Geology 48
- Computer Vision and Pattern Recognition 147
- Civil and Structural Engineering 155
- Polymers and Plastics 72
Countries citing papers authored by Ming Yao
This map shows the geographic impact of Ming 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 Ming Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yao more than expected).
Fields of papers citing papers by Ming Yao
This network shows the impact of papers produced by Ming 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 Ming Yao. The network helps show where Ming Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 136 | |
| 2 | 2011 | 54 | |
| 3 | 2014 | 46 | |
| 4 | 2021 | 39 | |
| 5 | 2008 | 28 | |
| 6 | 2013 | 14 | |
| 7 | 2011 | 13 | |
| 8 | 2014 | 12 | |
| 9 | 2015 | 11 | |
| 10 | 2008 | 10 | |
| 11 | 2009 | 7 | |
| 12 | 2007 | 6 | |
| 13 | 2019 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2009 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2025 | 0 |
About Ming Yao
Ming Yao is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Physiology, Geology and Industrial and Manufacturing Engineering, having authored 18 papers that have together received 387 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (6 papers), Advanced Vision and Imaging (5 papers), Infrastructure Maintenance and Monitoring (4 papers), 3D Surveying and Cultural Heritage (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Image Enhancement Techniques (2 papers), Image and Object Detection Techniques (2 papers) and Thermoregulation and physiological responses (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (88 citations), Geology (48 citations), Computer Vision and Pattern Recognition (147 citations), Civil and Structural Engineering (155 citations) and Polymers and Plastics (72 citations). Ming Yao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bugao Xu, Qingguang Li, Jingjing Sun, Jun Ni, Biao Leng, Zhang Xiong, Xiangyang Zhang, Winnie Yu, Wurong Yu and Jeanne Freeland-Graves. Their work appears in journals such as Measurement Science and Technology, Textile Research Journal, Optical Engineering, Multimedia Tools and Applications and Obesity.
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.