Qi Shan
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.2%
- Aerospace Engineering top 5%
- Computational Mechanics top 5%
- Geology top 2%
- Co-authors
- Jiaya JiaAseem AgarwalaZhaorong LiChi–Keung TangSteven M. SeitzAlex ColburnDerek HoiemChuhang Zou
- Topics
- Advanced Vision and Imaging (16 papers)Advanced Image Processing Techniques (8 papers)3D Surveying and Cultural Heritage (5 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- ACM Transactions on GraphicsInternational Journal of Computer VisionIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Qi Shan
33 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 2.1k
- Media Technology 1.0k
- Aerospace Engineering 269
- Computational Mechanics 234
- Geology 221
Countries citing papers authored by Qi Shan
This map shows the geographic impact of Qi Shan'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 Qi Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Shan more than expected).
Fields of papers citing papers by Qi Shan
This network shows the impact of papers produced by Qi Shan. 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 Qi Shan. The network helps show where Qi Shan may publish in the future.
Co-authorship network of co-authors of Qi Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Qi Shan. A scholar is included among the top collaborators of Qi Shan 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 Qi Shan. Qi Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 33 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 35 | |
| 7 | 1 | |
| 8 | 83 | |
| 9 | 18 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 87 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 17 | |
| 17 | 3 | |
| 18 | 103 | |
| 19 | 38 | |
| 20 | 100 |
About Qi Shan
Qi Shan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Advanced Image Processing Techniques (8 papers) and 3D Surveying and Cultural Heritage (5 papers). The work is most often cited by research in Media Technology (1.0k citations), Computer Vision and Pattern Recognition (2.1k citations) and Computer Graphics and Computer-Aided Design (144 citations). Qi Shan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jiaya Jia, Aseem Agarwala, Zhaorong Li, Chi–Keung Tang, Steven M. Seitz, Alex Colburn, Derek Hoiem, Chuhang Zou, Brian Curless and Yasutaka Furukawa. Their work appears in journals such as ACM Transactions on Graphics, International Journal of Computer Vision and IEEE Transactions on Visualization and Computer Graphics.
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.