Jun Miao
Impact in
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- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Image and Video Quality Assessment
- Sensory Systems top 5%
Papers in
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- Visual Attention and Saliency Detection 16
- Face and Expression Recognition 11
- Advanced Image and Video Retrieval Techniques 10
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- Neural Networks and Applications 13
- Machine Learning and ELM 12
- Co-authors
- Laiyun Qing (17 shared papers)Lijuan Duan (31 shared papers)Yuanhua Qiao (37 shared papers)Wentao Zhu (5 shared papers)Chunpeng Wu (4 shared papers)Yu Fu (1 shared paper)Jiangong Zhang (1 shared paper)David L. Wilson (9 shared papers)
- Journals
- Cognitive Computation (5 papers)Medical Physics (4 papers)Chaos Solitons & Fractals (3 papers)Journal of the Franklin Institute (2 papers)Magnetic Resonance Imaging (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Miao
90 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 527
- Sensory Systems 106
- Artificial Intelligence 482
- Computer Networks and Communications 299
- Statistical and Nonlinear Physics 117
Countries citing papers authored by Jun Miao
This map shows the geographic impact of Jun Miao'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 Jun Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Miao more than expected).
Fields of papers citing papers by Jun Miao
This network shows the impact of papers produced by Jun Miao. 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 Jun Miao. The network helps show where Jun Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Miao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 209 | |
| 2 | 2019 | 124 | |
| 3 | 2015 | 106 | |
| 4 | 2015 | 96 | |
| 5 | 2013 | 82 | |
| 6 | 2020 | 56 | |
| 7 | 2015 | 43 | |
| 8 | 2014 | 42 | |
| 9 | 2015 | 37 | |
| 10 | 2015 | 37 | |
| 11 | 2013 | 31 | |
| 12 | 2014 | 31 | |
| 13 | 2016 | 30 | |
| 14 | 2008 | 30 | |
| 15 | 2008 | 29 | |
| 16 | 2017 | 27 | |
| 17 | 2021 | 25 | |
| 18 | 2022 | 24 | |
| 19 | 2022 | 22 | |
| 20 | 2021 | 22 |
About Jun Miao
Jun Miao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (16 papers), Neural Networks and Applications (13 papers), Machine Learning and ELM (12 papers), Face and Expression Recognition (11 papers), EEG and Brain-Computer Interfaces (11 papers), Neural Networks Stability and Synchronization (11 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced MRI Techniques and Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (527 citations), Sensory Systems (106 citations), Artificial Intelligence (482 citations), Computer Networks and Communications (299 citations) and Statistical and Nonlinear Physics (117 citations). Jun Miao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Laiyun Qing, Lijuan Duan, Yuanhua Qiao, Wentao Zhu, Chunpeng Wu, Yu Fu, Jiangong Zhang, David L. Wilson, Honggang Qi and Steven G. Ross. Their work appears in journals such as Cognitive Computation, Medical Physics, Chaos Solitons & Fractals, Journal of the Franklin Institute and Magnetic Resonance Imaging.
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.