Shuzhen Chen
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Biomedical Engineering
- Co-authors
- Dongxiao YuQiusheng LianXiuzhen ChengYifei ZouJiguo YuFeng LiBei GongXiaoyu Fan
- Topics
- Privacy-Preserving Technologies in Data (11 papers)Mobile Crowdsensing and Crowdsourcing (7 papers)Image Processing Techniques and Applications (7 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaIEEE Access
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shuzhen Chen
44 papers receiving 303 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 131
- Computer Vision and Pattern Recognition 76
- Electrical and Electronic Engineering 52
- Computer Networks and Communications 42
- Biomedical Engineering 40
Countries citing papers authored by Shuzhen Chen
This map shows the geographic impact of Shuzhen Chen'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 Shuzhen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuzhen Chen more than expected).
Fields of papers citing papers by Shuzhen Chen
This network shows the impact of papers produced by Shuzhen Chen. 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 Shuzhen Chen. The network helps show where Shuzhen Chen may publish in the future.
Co-authorship network of co-authors of Shuzhen Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Shuzhen Chen. A scholar is included among the top collaborators of Shuzhen Chen 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 Shuzhen Chen. Shuzhen Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 62 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | Sparse Image Representation Using the Analytic Contourlet Transform and Its Application on Compressed Sensing | 5 |
| 15 | 2 | |
| 16 | Extracting fingerprint minutiae based on Harris corner detector | 2 |
| 17 | Adaptive Shot Segmentation System Based on Tree-like Classifier | 0 |
| 18 | Dynamic Displaying Frequency Response of Discrete-time System by Java Applet | 0 |
| 19 | S-rough sets and new metal materials discovery (I) | 1 |
| 20 | 0 |
About Shuzhen Chen
Shuzhen Chen is a scholar working on Computer Science Applications, Media Technology and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 308 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (11 papers), Mobile Crowdsensing and Crowdsourcing (7 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Structural Biology (6 citations), Artificial Intelligence (131 citations) and Computer Science Applications (21 citations). Shuzhen Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dongxiao Yu, Qiusheng Lian, Xiuzhen Cheng, Yifei Zou, Jiguo Yu, Feng Li, Bei Gong, Xiaoyu Fan, Ye Tian and Ju Ren. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Access.
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.