Chang Shu
- Computer Vision and Pattern Recognition top 2%
- Water Science and Technology top 2%
- Global and Planetary Change top 5%
- Computational Mechanics top 2%
- Environmental Engineering top 2%
- Co-authors
- Taha B. M. J. OuardaPengcheng XiDonald H. BurnStefanie WuhrerMarc RiouxRafik GoubranAlan BruntonProsenjit Bose
- Topics
- 3D Shape Modeling and Analysis (34 papers)Human Pose and Action Recognition (18 papers)Advanced Vision and Imaging (15 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignWater Science and TechnologyEnvironmental Engineering
- Journals
- SHILAP Revista de lepidopterologíaWater Resources ResearchApplied Energy
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Chang Shu
84 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 556
- Water Science and Technology 517
- Global and Planetary Change 469
- Computational Mechanics 456
- Environmental Engineering 425
Countries citing papers authored by Chang Shu
This map shows the geographic impact of Chang Shu'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 Chang Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Shu more than expected).
Fields of papers citing papers by Chang Shu
This network shows the impact of papers produced by Chang Shu. 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 Chang Shu. The network helps show where Chang Shu may publish in the future.
Co-authorship network of co-authors of Chang Shu
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Shu. A scholar is included among the top collaborators of Chang Shu 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 Chang Shu. Chang Shu 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 30 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 54 | |
| 12 | 7 | |
| 13 | 116 | |
| 14 | 7 | |
| 15 | Linear-Space Algorithms for Distance Preserving Embedding | 0 |
| 16 | Approximations of Geodesic Distances for Incomplete Triangular Manifolds | 6 |
| 17 | Estimation of extreme flow quantiles and quantile uncertainty for ungauged catchments. | 2 |
| 18 | 49 | |
| 19 | 14 | |
| 20 | 9 |
About Chang Shu
Chang Shu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 94 papers that have together received 2.0k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (34 papers), Human Pose and Action Recognition (18 papers) and Advanced Vision and Imaging (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (135 citations), Water Science and Technology (517 citations) and Environmental Engineering (425 citations). Chang Shu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Taha B. M. J. Ouarda, Pengcheng Xi, Donald H. Burn, Stefanie Wuhrer, Marc Rioux, Rafik Goubran, Alan Brunton, Prosenjit Bose, Fengfeng Xi and Mark A. Fiala. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Resources Research and Applied Energy.
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.