Zhenjiang Miao
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- Human Pose and Action Recognition 26
- Video Surveillance and Tracking Methods 25
- Advanced Image and Video Retrieval Techniques 23
- Advanced Vision and Imaging 20
- Video Analysis and Summarization 13
- Image Retrieval and Classification Techniques 13
- Image Enhancement Techniques 9
- Media Technology top 2%
- Signal Processing top 10%
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 15
- Journals
- Pattern Recognition (2 papers)Neurocomputing (2 papers)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zhenjiang Miao
92 papers receiving 814 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 698
- Media Technology 156
- Signal Processing 81
- Artificial Intelligence 222
- Industrial and Manufacturing Engineering 60
Countries citing papers authored by Zhenjiang Miao
This map shows the geographic impact of Zhenjiang 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 Zhenjiang Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenjiang Miao more than expected).
Fields of papers citing papers by Zhenjiang Miao
This network shows the impact of papers produced by Zhenjiang 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 Zhenjiang Miao. The network helps show where Zhenjiang Miao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhenjiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2018 | 1 | |
| 3 | 2017 | 1 | |
| 4 | 2016 | 1 | |
| 5 | 2016 | 14 | |
| 6 | 2015 | 15 | |
| 7 | 2015 | 3 | |
| 8 | 2014 | 1 | |
| 9 | 2014 | 4 | |
| 10 | 2014 | 11 | |
| 11 | Unsupervised online learning trajectory analysis based on weighted directed graph | 2012 | 1 |
| 12 | 2012 | 4 | |
| 13 | Event detection: IPG-BJTU at Trecvid 2010 | 2010 | 2 |
| 14 | 2010 | 1 | |
| 15 | 2010 | 1 | |
| 16 | Scale-robust feature extraction for face recognition | 2009 | 2 |
| 17 | 2008 | 8 | |
| 18 | 2008 | 3 | |
| 19 | FROM GMM TO HGMM: AN APPROACH IN MOVING OBJECT DETECTION | 2004 | 5 |
| 20 | 1994 | 6 |
About Zhenjiang Miao
Zhenjiang Miao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 101 papers that have together received 860 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (26 papers), Video Surveillance and Tracking Methods (25 papers), Advanced Image and Video Retrieval Techniques (23 papers), Advanced Vision and Imaging (20 papers), Anomaly Detection Techniques and Applications (15 papers), Video Analysis and Summarization (13 papers), Image Retrieval and Classification Techniques (13 papers) and Image Enhancement Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (698 citations), Media Technology (156 citations) and Signal Processing (81 citations). Zhenjiang Miao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhen Tang, Xiao–Ping Zhang, Qiang Zhang, Hongkai Yu, Song Wang, Cong Ma, Q. M. Jonathan Wu, Yuewei Lin, Min Li and Ping Guo. Their work appears in journals such as Pattern Recognition, Neurocomputing 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.