Fanbo Xiang
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Computational Mechanics top 5%
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Zexiang XuXiaoshuai ZhangAnpei ChenHao SuFuqiang ZhaoJingyi YuYannick Hold-GeoffroyKalyan Sunkavalli
- Topics
- Robot Manipulation and Learning (4 papers)Computer Graphics and Visualization Techniques (4 papers)3D Shape Modeling and Analysis (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- United StatesChinaCanada
In The Last Decade
Fanbo Xiang
8 papers receiving 532 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 448
- Computer Graphics and Computer-Aided Design 296
- Computational Mechanics 203
- Aerospace Engineering 62
- Control and Systems Engineering 43
Countries citing papers authored by Fanbo Xiang
This map shows the geographic impact of Fanbo Xiang'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 Fanbo Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanbo Xiang more than expected).
Fields of papers citing papers by Fanbo Xiang
This network shows the impact of papers produced by Fanbo Xiang. 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 Fanbo Xiang. The network helps show where Fanbo Xiang may publish in the future.
Co-authorship network of co-authors of Fanbo Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Fanbo Xiang. A scholar is included among the top collaborators of Fanbo Xiang 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 Fanbo Xiang. Fanbo Xiang 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 | 1 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 33 | |
| 8 | MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereobreakdown → | 425 |
| 9 | 55 |
About Fanbo Xiang
Fanbo Xiang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 9 papers that have together received 541 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Computer Graphics and Visualization Techniques (4 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (296 citations), Computer Vision and Pattern Recognition (448 citations) and Computational Mechanics (203 citations). Fanbo Xiang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zexiang Xu, Xiaoshuai Zhang, Anpei Chen, Hao Su, Fuqiang Zhao, Jingyi Yu, Hao Su, Yannick Hold-Geoffroy, Kalyan Sunkavalli and Miloš Hašan. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Robotics and Computer Graphics Forum.
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.