Junyan Cao
Impact in
- Geometry and Topology top 5%
- Algebraic Geometry and Number Theory
- Geometry and complex manifolds
- Mathematical Physics top 10%
- Advanced Algebra and Geometry
- Homotopy and Cohomology in Algebraic Topology
Papers in ⓘ
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- Algebraic Geometry and Number Theory 11
- Geometry and complex manifolds 9
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- Image and Signal Denoising Methods 3
- Image Enhancement Techniques 3
- Digital Media Forensic Detection 2
- Co-authors
- Andreas Höring (4 shared papers)Mihai Păun (5 shared papers)Hong Yan (3 shared papers)Li Niu (1 shared paper)Li Niu (6 shared papers)Liqing Zhang (5 shared papers)Wenyan Cong (1 shared paper)Frédéric Campana (1 shared paper)
In The Last Decade
Junyan Cao
19 papers receiving 120 citations
Peers
Comparison fields: 5 of 29
- Geometry and Topology 96
- Mathematical Physics 55
- Applied Mathematics 31
- Computer Graphics and Computer-Aided Design 8
- Discrete Mathematics and Combinatorics 5
Countries citing papers authored by Junyan Cao
This map shows the geographic impact of Junyan Cao'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 Junyan Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyan Cao more than expected).
Fields of papers citing papers by Junyan Cao
This network shows the impact of papers produced by Junyan Cao. 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 Junyan Cao. The network helps show where Junyan Cao may publish in the future.
Co-authors
The 21 scholars most cited alongside Junyan Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 22 | |
| 2 | 2016 | 20 | |
| 3 | 2014 | 18 | |
| 4 | 2023 | 12 | |
| 5 | 2014 | 9 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2015 | 6 | |
| 11 | 2025 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2025 | 0 |
About Junyan Cao
Junyan Cao is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition, Applied Mathematics, Mathematical Physics and Atomic and Molecular Physics, and Optics, having authored 24 papers that have together received 130 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (11 papers), Geometry and complex manifolds (9 papers), Geometric Analysis and Curvature Flows (7 papers), Image and Signal Denoising Methods (3 papers), Homotopy and Cohomology in Algebraic Topology (3 papers), Image Enhancement Techniques (3 papers), Digital Media Forensic Detection (2 papers) and Color Science and Applications (2 papers). The work is most often cited by research in Geometry and Topology (96 citations), Mathematical Physics (55 citations), Applied Mathematics (31 citations), Computer Graphics and Computer-Aided Design (8 citations) and Discrete Mathematics and Combinatorics (5 citations). Junyan Cao has collaborated with scholars based in France, China and Germany. Frequent co-authors include Andreas Höring, Mihai Păun, Hong Yan, Li Niu, Li Niu, Liqing Zhang, Wenyan Cong, Frédéric Campana, Teng Long and Fengjun Guo. Their work appears in journals such as Journal für die reine und angewandte Mathematik (Crelles Journal), Algebraic geometry, Asian Journal of Mathematics, Pure and Applied Mathematics Quarterly and Journal of Algebraic Geometry.
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.