Qiangeng Xu
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Geology top 2%
- Aerospace Engineering top 10%
- Co-authors
- Ulrich NeumannZexiang XuCho-Ying WuSai BiKalyan SunkavalliZhixin ShuJulien PhilipYiqi Zhong
- Topics
- 3D Shape Modeling and Analysis (4 papers)Advanced Vision and Imaging (3 papers)Computer Graphics and Visualization Techniques (2 papers)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2021 IEEE/CVF International Conference on Computer Vision (ICCV)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesSingapore
In The Last Decade
Qiangeng Xu
7 papers receiving 751 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 537
- Computational Mechanics 328
- Computer Graphics and Computer-Aided Design 232
- Geology 187
- Aerospace Engineering 168
Countries citing papers authored by Qiangeng Xu
This map shows the geographic impact of Qiangeng Xu'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 Qiangeng Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiangeng Xu more than expected).
Fields of papers citing papers by Qiangeng Xu
This network shows the impact of papers produced by Qiangeng Xu. 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 Qiangeng Xu. The network helps show where Qiangeng Xu may publish in the future.
Co-authorship network of co-authors of Qiangeng Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Qiangeng Xu. A scholar is included among the top collaborators of Qiangeng Xu 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 Qiangeng Xu. Qiangeng Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Point-NeRF: Point-based Neural Radiance Fieldsbreakdown → | 322 |
| 3 | 118 | |
| 4 | 39 | |
| 5 | 106 | |
| 6 | 170 | |
| 7 | 8 |
About Qiangeng Xu
Qiangeng Xu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 7 papers that have together received 771 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (4 papers), Advanced Vision and Imaging (3 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (232 citations), Geology (187 citations) and Computer Vision and Pattern Recognition (537 citations). Qiangeng Xu has collaborated with scholars based in United States and Singapore. Frequent co-authors include Ulrich Neumann, Zexiang Xu, Cho-Ying Wu, Sai Bi, Kalyan Sunkavalli, Zhixin Shu, Julien Philip, Yiqi Zhong, Xudong Sun and Weiyue Wang. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.