Miao Sun
Impact in
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- Face recognition and analysis
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Signal Processing top 10%
Papers in
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Face recognition and analysis 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)Jianlin Cheng (1 shared paper)Badri Adhikari (1 shared paper)Renzhi Cao (2 shared papers)Jie Hou (1 shared paper)
- Journals
- Bioinformatics (1 paper)IEEE Access (1 paper)Agronomy (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)Chemical and Biological Technologies in Agriculture (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Miao Sun
11 papers receiving 548 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 297
- Signal Processing 49
- Media Technology 34
- Artificial Intelligence 125
- 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 | 288 | |
| 2 | 2017 | 92 | |
| 3 | 2016 | 81 | |
| 4 | 2014 | 47 | |
| 5 | 2016 | 43 | |
| 6 | 2024 | 6 | |
| 7 | 2020 | 6 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2020 | 1 | |
| 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 567 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), Advanced Image and Video Retrieval Techniques (2 papers), Protein Structure and Dynamics (2 papers), Face recognition and analysis (2 papers), Smart Agriculture and AI (2 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (297 citations), Signal Processing (49 citations), Media Technology (34 citations), Artificial Intelligence (125 citations) and Computational Mathematics (2 citations). Miao Sun has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Tony Xiao Han, Ke Zhang, Xingfang Yuan, Tao Liu, Jianlin Cheng, Badri Adhikari, Renzhi Cao, Jie Hou, Debswapna Bhattacharya and Will Y. Zou. Their work appears in journals such as Bioinformatics, IEEE Access, Agronomy, IEEE Transactions on Circuits and Systems for Video Technology and Chemical and Biological Technologies in Agriculture.
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.