Min Yao
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Zhaohui WuOlga KorotkovaTianqi WuYangjian CaiItalo ToselliYiming DongChengliang ZhaoGang Pan
- Topics
- Image Retrieval and Classification Techniques (12 papers)Advanced Computational Techniques and Applications (12 papers)Metaheuristic Optimization Algorithms Research (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaOptics LettersOptics Express
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Min Yao
94 papers receiving 923 citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 353
- Atomic and Molecular Physics, and Optics 217
- Computer Vision and Pattern Recognition 211
- Electrical and Electronic Engineering 190
- Biomedical Engineering 143
Countries citing papers authored by Min Yao
This map shows the geographic impact of Min 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 Min Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Yao more than expected).
Fields of papers citing papers by Min Yao
This network shows the impact of papers produced by Min 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 Min Yao. The network helps show where Min Yao may publish in the future.
Co-authorship network of co-authors of Min Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Min Yao. A scholar is included among the top collaborators of Min Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Min Yao. Min Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | Electronic Technology Curriculum Reform Based on Teaching Experiment Cloud Platform | 1 |
| 7 | 7 | |
| 8 | 25 | |
| 9 | 5 | |
| 10 | 40 | |
| 11 | A new kind of dynamic association rule and its mining algorithms | 4 |
| 12 | ScudCORE:A Context-Driven Reasoning Engine | 1 |
| 13 | 0 | |
| 14 | 54 | |
| 15 | Application of SVM in Plant Classification | 1 |
| 16 | Clustering analysis based on SOFM network | 3 |
| 17 | 1 | |
| 18 | Research on methodology of time serial data mining | 1 |
| 19 | 6 | |
| 20 | A Kind of Adaptive Fuzzy System | 2 |
About Min Yao
Min Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 104 papers that have together received 973 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (12 papers), Advanced Computational Techniques and Applications (12 papers) and Metaheuristic Optimization Algorithms Research (10 papers). The work is most often cited by research in Artificial Intelligence (353 citations), Computer Vision and Pattern Recognition (211 citations) and Acoustics and Ultrasonics (7 citations). Min Yao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhaohui Wu, Olga Korotkova, Tianqi Wu, Yangjian Cai, Italo Toselli, Yiming Dong, Chengliang Zhao, Gang Pan, Mahdi Hashemzadeh and Yahya Baykal. Their work appears in journals such as SHILAP Revista de lepidopterología, Optics Letters and Optics Express.
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.