Chang Zhou
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Media Technology top 10%
- Co-authors
- Jin WangLei WangYu GaoR. Simon SherrattLai-Man PoJianke ZhangShengxiang GaoYunbin Tu
- Topics
- Advanced Image and Video Retrieval Techniques (7 papers)Image Retrieval and Classification Techniques (4 papers)Fractional Differential Equations Solutions (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionModeling and SimulationComputer Networks and Communications
- Partner nations
- ChinaHong KongCayman Islands
In The Last Decade
Chang Zhou
31 papers receiving 536 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 247
- Computer Networks and Communications 180
- Electrical and Electronic Engineering 143
- Artificial Intelligence 71
- Media Technology 46
Countries citing papers authored by Chang Zhou
This map shows the geographic impact of Chang Zhou'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 Chang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Zhou more than expected).
Fields of papers citing papers by Chang Zhou
This network shows the impact of papers produced by Chang Zhou. 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 Chang Zhou. The network helps show where Chang Zhou may publish in the future.
Co-authorship network of co-authors of Chang Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Zhou. A scholar is included among the top collaborators of Chang Zhou 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 Chang Zhou. Chang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 27 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 49 | |
| 11 | 222 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 43 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 33 | |
| 19 | 6 | |
| 20 | 1 |
About Chang Zhou
Chang Zhou is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Modeling and Simulation, having authored 32 papers that have together received 558 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (4 papers) and Fractional Differential Equations Solutions (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Modeling and Simulation (46 citations) and Computer Networks and Communications (180 citations). Chang Zhou has collaborated with scholars based in China, Hong Kong and Cayman Islands. Frequent co-authors include Jin Wang, Lei Wang, Yu Gao, R. Simon Sherratt, Lai-Man Po, Jianke Zhang, Shengxiang Gao, Yunbin Tu, Junjun Guo and Lifeng Li. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.
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.