Qingcan Wang

533 total citations
4 papers, 62 citations indexed

About

Qingcan Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Geometry and Topology. According to data from OpenAlex, Qingcan Wang has authored 4 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Geometry and Topology. Recurrent topics in Qingcan Wang's work include Matrix Theory and Algorithms (2 papers), Sparse and Compressive Sensing Techniques (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). Qingcan Wang is often cited by papers focused on Matrix Theory and Algorithms (2 papers), Sparse and Compressive Sensing Techniques (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). Qingcan Wang collaborates with scholars based in United States and China. Qingcan Wang's co-authors include E Weinan, Chao Ma, Jiqin Zhang, Lei Wu, Wenhua Liang, Feng Wang and Mingyao Liu and has published in prestigious journals such as Cancer Immunology Research, Communications in Mathematical Sciences and Science China Mathematics.

In The Last Decade

Qingcan Wang

4 papers receiving 60 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Qingcan Wang United States	3	28	26	16	9	7	4	62
Theodor Misiakiewicz United States	5	37 1.3×	10 0.4×	16 1.0×		14 2.0×	7	60
Nasim Rahaman Germany	5	35 1.3×	25 1.0×	20 1.3×		46 6.6×	7	117
Filip Hanzely Saudi Arabia	5	27 1.0×	11 0.4×	16 1.0×		4 0.6×	8	63
Gary Bécigneul Switzerland	5	47 1.7×	7 0.3×	11 0.7×		22 3.1×	8	63
Felix Draxler Germany	3	34 1.2×	25 1.0×	19 1.2×		40 5.7×	3	81
Xiyu Zhai United States	5	78 2.8×	11 0.4×	16 1.0×		25 3.6×	5	95
Tegan Emerson United States	5	10 0.4×	4 0.2×	6 0.4×		21 3.0×	21	62
Behrooz Ghorbani United States	4	47 1.7×	11 0.4×	6 0.4×		18 2.6×	6	57
Lechao Xiao United States	7	59 2.1×	8 0.3×	5 0.3×		24 3.4×	13	113
Aymeric Dieuleveut France	4	38 1.4×	3 0.1×	17 1.1×		6 0.9×	12	56

Countries citing papers authored by Qingcan Wang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Qingcan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingcan Wang. A scholar is included among the top collaborators of Qingcan Wang 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 Qingcan Wang. Qingcan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Liang, Wenhua, et al.. (2022). Enhancing the Antitumor Immunity of T Cells by Engineering the Lipid-Regulatory Site of the TCR/CD3 Complex. Cancer Immunology Research. 11(1). 93–108. 10 indexed citations

2.

Weinan, E, Chao Ma, & Qingcan Wang. (2020). Rademacher complexity and the generalization error of residual networks. Communications in Mathematical Sciences. 18(6). 1755–1774. 4 indexed citations

3.

Wu, Lei, Qingcan Wang, & Chao Ma. (2019). Global Convergence of Gradient Descent for Deep Linear Residual Networks. arXiv (Cornell University). 32. 13368–13377. 2 indexed citations

4.

Weinan, E & Qingcan Wang. (2018). Exponential convergence of the deep neural network approximation for analytic functions. Science China Mathematics. 61(10). 1733–1740. 46 indexed citations

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.

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