Qingcan Wang
Impact in
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- Model Reduction and Neural Networks
Papers in
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- Matrix Theory and Algorithms 2
- Co-authors
- E Weinan (2 shared papers)Chao Ma (2 shared papers)Mingyao Liu (1 shared paper)Jiqin Zhang (1 shared paper)Feng Wang (1 shared paper)Lei Wu (1 shared paper)Wenhua Liang (1 shared paper)
- Journals
- Communications in Mathematical Sciences (1 paper)Science China Mathematics (1 paper)Cancer Immunology Research (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Qingcan Wang
4 papers receiving 61 citations
Peers
Comparison fields: 5 of 41
- Statistical and Nonlinear Physics 26
- Computational Mathematics 1
- Artificial Intelligence 28
- Computational Mechanics 16
- Statistics, Probability and Uncertainty 5
Countries citing papers authored by Qingcan Wang
This map shows the geographic impact of Qingcan Wang'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 Qingcan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingcan Wang more than expected).
Fields of papers citing papers by Qingcan Wang
This network shows the impact of papers produced by Qingcan Wang. 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 Qingcan Wang. The network helps show where Qingcan Wang may publish in the future.
Co-authors
The 7 scholars most cited alongside Qingcan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 46 | |
| 2 | 2022 | 10 | |
| 3 | 2020 | 4 | |
| 4 | Global Convergence of Gradient Descent for Deep Linear Residual Networks | 2019 | 2 |
About Qingcan Wang
Qingcan Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Geometry and Topology, Statistical and Nonlinear Physics and Oncology, having authored 4 papers that have together received 62 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (2 papers), Sparse and Compressive Sensing Techniques (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Graph theory and applications (1 paper), Immune Cell Function and Interaction (1 paper), Model Reduction and Neural Networks (1 paper), Immune cells in cancer (1 paper) and graph theory and CDMA systems (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (26 citations), Computational Mathematics (1 citation), Artificial Intelligence (28 citations), Computational Mechanics (16 citations) and Statistics, Probability and Uncertainty (5 citations). Qingcan Wang has collaborated with scholars based in United States and China. Frequent co-authors include E Weinan, Chao Ma, Mingyao Liu, Jiqin Zhang, Feng Wang, Lei Wu and Wenhua Liang. Their work appears in journals such as Communications in Mathematical Sciences, Science China Mathematics, Cancer Immunology Research and arXiv (Cornell University).
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.