Miao Sun
Impact in
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- Face recognition and analysis
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Face and Expression Recognition
- Signal Processing top 10%
Papers in
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- Advanced Neural Network Applications 3
- Face recognition and analysis 2
- Advanced Image and Video Retrieval Techniques 2
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Tony Xiao Han (3 shared papers)Ke Zhang (2 shared papers)Xingfang Yuan (2 shared papers)Tao Liu (1 shared paper)Renzhi Cao (2 shared papers)Debswapna Bhattacharya (1 shared paper)Jie Hou (1 shared paper)Badri Adhikari (1 shared paper)
- Journals
- Chemical and Biological Technologies in Agriculture (1 paper)Agronomy (1 paper)Bioinformatics (1 paper)IEEE Access (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Miao Sun
10 papers receiving 507 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 271
- Signal Processing 45
- Artificial Intelligence 118
- Media Technology 31
- Computational Mathematics 2
Countries citing papers authored by Miao Sun
This map shows the geographic impact of Miao Sun'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 Miao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Sun more than expected).
Fields of papers citing papers by Miao Sun
This network shows the impact of papers produced by Miao Sun. 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 Miao Sun. The network helps show where Miao Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Miao Sun, 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 | 2017 | 266 | |
| 2 | 2017 | 82 | |
| 3 | 2016 | 80 | |
| 4 | 2014 | 42 | |
| 5 | 2016 | 39 | |
| 6 | 2024 | 6 | |
| 7 | 2020 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Miao Sun
Miao Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Molecular Biology and Signal Processing, having authored 12 papers that have together received 524 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Face recognition and analysis (2 papers), Biometric Identification and Security (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Protein Structure and Dynamics (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (271 citations), Signal Processing (45 citations), Artificial Intelligence (118 citations), Media Technology (31 citations) and Computational Mathematics (2 citations). Miao Sun has collaborated with scholars based in China, United States and India. Frequent co-authors include Tony Xiao Han, Ke Zhang, Xingfang Yuan, Tao Liu, Renzhi Cao, Debswapna Bhattacharya, Jie Hou, Badri Adhikari, Jianlin Cheng and Xiaoyu Wang. Their work appears in journals such as Chemical and Biological Technologies in Agriculture, Agronomy, Bioinformatics, IEEE Access and IEEE Transactions on Circuits and Systems for Video Technology.
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.