Qian-Yi Zhou
- Computer Vision and Pattern Recognition top 0.5%
- Geology top 0.2%
- Computational Mechanics top 1%
- Aerospace Engineering top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Co-authors
- Vladlen KoltunJaesik ParkUlrich NeumannSungjoon ChoiMaxim TatarchenkoShi‐Min HuTao JuYu‐Kun Lai
- Topics
- Robotics and Sensor-Based Localization (12 papers)Advanced Vision and Imaging (10 papers)3D Surveying and Cultural Heritage (10 papers)
- Journals
- ACM Transactions on GraphicsIEEE Transactions on Visualization and Computer GraphicsThe Visual Computer
- Partner nations
- United StatesChinaCanada
In The Last Decade
Qian-Yi Zhou
24 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 1.7k
- Geology 1.1k
- Computational Mechanics 1.0k
- Aerospace Engineering 1.0k
- Computer Graphics and Computer-Aided Design 716
Countries citing papers authored by Qian-Yi Zhou
This map shows the geographic impact of Qian-Yi Zhou'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 Qian-Yi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian-Yi Zhou more than expected).
Fields of papers citing papers by Qian-Yi Zhou
This network shows the impact of papers produced by Qian-Yi Zhou. 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 Qian-Yi Zhou. The network helps show where Qian-Yi Zhou may publish in the future.
Co-authorship network of co-authors of Qian-Yi Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Qian-Yi Zhou. A scholar is included among the top collaborators of Qian-Yi Zhou 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 Qian-Yi Zhou. Qian-Yi Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Tangent Convolutions for Dense Prediction in 3Dbreakdown → | 364 |
| 2 | Tanks and templesbreakdown → | 833 |
| 3 | 222 | |
| 4 | Robust reconstruction of indoor scenesbreakdown → | 343 |
| 5 | 29 | |
| 6 | 22 | |
| 7 | 164 | |
| 8 | 141 | |
| 9 | 64 | |
| 10 | 3d urban modeling from city-scale aerial lidar data | 1 |
| 11 | 59 | |
| 12 | 16 | |
| 13 | 27 | |
| 14 | 107 | |
| 15 | 57 | |
| 16 | 9 | |
| 17 | 58 | |
| 18 | 21 | |
| 19 | 25 | |
| 20 | 94 |
About Qian-Yi Zhou
Qian-Yi Zhou is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 2.8k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Advanced Vision and Imaging (10 papers) and 3D Surveying and Cultural Heritage (10 papers). The work is most often cited by research in Geology (1.1k citations), Computer Graphics and Computer-Aided Design (716 citations) and Computer Vision and Pattern Recognition (1.7k citations). Qian-Yi Zhou has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Vladlen Koltun, Jaesik Park, Ulrich Neumann, Sungjoon Choi, Maxim Tatarchenko, Shi‐Min Hu, Tao Ju, Yu‐Kun Lai, Stephen D. Miller and Johannes Wallner. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and The Visual Computer.
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.