Kaiwen Guo
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Topics
- Advanced Vision and Imaging (17 papers)3D Shape Modeling and Analysis (9 papers)Robotics and Sensor-Based Localization (6 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on GraphicsAIAA Journal
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kaiwen Guo
24 papers receiving 873 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 747
- Computational Mechanics 469
- Computer Graphics and Computer-Aided Design 280
- Aerospace Engineering 156
- Control and Systems Engineering 104
Countries citing papers authored by Kaiwen Guo
This map shows the geographic impact of Kaiwen Guo'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 Kaiwen Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiwen Guo more than expected).
Fields of papers citing papers by Kaiwen Guo
This network shows the impact of papers produced by Kaiwen Guo. 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 Kaiwen Guo. The network helps show where Kaiwen Guo may publish in the future.
Co-authorship network of co-authors of Kaiwen Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Kaiwen Guo. A scholar is included among the top collaborators of Kaiwen Guo 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 Kaiwen Guo. Kaiwen Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | 34 | |
| 8 | 9 | |
| 9 | 21 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 36 | |
| 13 | 41 | |
| 14 | 17 | |
| 15 | 23 | |
| 16 | 102 | |
| 17 | 116 | |
| 18 | 48 | |
| 19 | 51 | |
| 20 | 15 |
About Kaiwen Guo
Kaiwen Guo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 24 papers that have together received 898 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (17 papers), 3D Shape Modeling and Analysis (9 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (280 citations), Computer Vision and Pattern Recognition (747 citations) and Computational Mechanics (469 citations). Kaiwen Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yebin Liu, Qionghai Dai, Tao Yu, Feng Xu, Zerong Zheng, Pengpeng Liu, Lan Xu, Jianhui Zhao, Yangang Wang and Xiaoyang Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and AIAA Journal.
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.