Qingcan Wang
Impact in
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- Model Reduction and Neural Networks
Papers in
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- Stochastic Gradient Optimization Techniques 1
- Neural Networks and Applications 1
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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)Wenhua Liang (1 shared paper)Jiqin Zhang (1 shared paper)Lei Wu (1 shared paper)Feng Wang (1 shared paper)
- Journals
- Science China Mathematics (1 paper)Cancer Immunology Research (1 paper)Communications in Mathematical Sciences (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Qingcan Wang
4 papers receiving 60 citations
Peers
Comparison fields: 5 of 42
- 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), Model Reduction and Neural Networks (1 paper), Stochastic Gradient Optimization Techniques (1 paper), Neural Networks and Applications (1 paper), Sparse and Compressive Sensing Techniques (1 paper), Immune cells in cancer (1 paper), Immune Cell Function and Interaction (1 paper) and Graph theory and applications (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, Wenhua Liang, Jiqin Zhang, Lei Wu and Feng Wang. Their work appears in journals such as Science China Mathematics, Cancer Immunology Research, Communications in Mathematical Sciences 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.