Chao Wen
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Industrial and Manufacturing Engineering top 10%
- Geology top 10%
- Topics
- 3D Shape Modeling and Analysis (5 papers)Advanced Vision and Imaging (4 papers)Computer Graphics and Visualization Techniques (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Chao Wen
11 papers receiving 256 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 164
- Computational Mechanics 144
- Computer Graphics and Computer-Aided Design 77
- Industrial and Manufacturing Engineering 43
- Geology 36
Countries citing papers authored by Chao Wen
This map shows the geographic impact of Chao Wen'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 Chao Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Wen more than expected).
Fields of papers citing papers by Chao Wen
This network shows the impact of papers produced by Chao Wen. 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 Chao Wen. The network helps show where Chao Wen may publish in the future.
Co-authorship network of co-authors of Chao Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Wen. A scholar is included among the top collaborators of Chao Wen 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 Chao Wen. Chao Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 32 | |
| 6 | 18 | |
| 7 | 32 | |
| 8 | 10 | |
| 9 | 131 | |
| 10 | Delay propagation mechanism of high-speed railway | 1 |
| 11 | 17 | |
| 12 | RFID Anti-collision Algorithm Based on Adaptive Splitting Tree | 1 |
About Chao Wen
Chao Wen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 12 papers that have together received 265 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), Advanced Vision and Imaging (4 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (77 citations), Computer Vision and Pattern Recognition (164 citations) and Computational Mechanics (144 citations). Chao Wen has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Yanwei Fu, Yinda Zhang, Zhuwen Li, Xiangyang Xue, Guangming Shi, Xuemei Xie, Jiashun Wang, Yan Ping, Jian Chen and Chenjie Cao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing 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.