Yang Cao

1.9k total citations · 1 hit paper
98 papers, 1.5k citations indexed

About

Yang Cao is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Yang Cao has authored 98 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Theory and Mathematics, 35 papers in Atomic and Molecular Physics, and Optics and 31 papers in Computational Mechanics. Recurrent topics in Yang Cao's work include Matrix Theory and Algorithms (42 papers), Electromagnetic Scattering and Analysis (34 papers) and Advanced Numerical Methods in Computational Mathematics (22 papers). Yang Cao is often cited by papers focused on Matrix Theory and Algorithms (42 papers), Electromagnetic Scattering and Analysis (34 papers) and Advanced Numerical Methods in Computational Mathematics (22 papers). Yang Cao collaborates with scholars based in China, United Kingdom and Japan. Yang Cao's co-authors include Mei‐Qun Jiang, Linquan Yao, Qiang Niu, Zhi-Ru Ren, Quan Shi, Qinqin Shen, Xiaojing Sun, Xu An Wang, Yuming Wang and Guoqing Wu and has published in prestigious journals such as IEEE Access, Renewable Energy and Information Sciences.

In The Last Decade

Yang Cao

92 papers receiving 1.4k citations

Hit Papers

Spatial–Temporal Complex Graph Convolution Network for Tr... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction
    2023 81 citations Jiashuang Huang, Qinqin Shen et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Cao China 21 947 754 695 361 157 98 1.5k
Jinyun Yuan Brazil 19 599 0.6× 311 0.4× 588 0.8× 598 1.7× 25 0.2× 84 1.5k
Huanlin Zhou China 21 261 0.3× 141 0.2× 226 0.3× 27 0.1× 80 0.5× 68 1.4k
Gonglin Yuan China 25 824 0.9× 51 0.1× 949 1.4× 1.6k 4.4× 32 0.2× 104 2.1k
B. Nour‐Omid United States 20 381 0.4× 140 0.2× 315 0.5× 208 0.6× 69 0.4× 38 1.4k
Michael P. Polis United States 18 462 0.5× 92 0.1× 72 0.1× 98 0.3× 26 0.2× 66 1.5k
D.S. Meek Canada 23 143 0.2× 26 0.0× 1.2k 1.7× 88 0.2× 66 0.4× 69 1.6k
Paul E. Plassmann United States 13 368 0.4× 62 0.1× 322 0.5× 74 0.2× 34 0.2× 47 895
Michal Kočvara Czechia 25 1.0k 1.1× 9 0.0× 317 0.5× 607 1.7× 45 0.3× 51 1.8k
Nicolas R. Gauger Germany 19 220 0.2× 40 0.1× 709 1.0× 59 0.2× 427 2.7× 120 1.2k
Yuan Lin Canada 15 229 0.2× 11 0.0× 395 0.6× 110 0.3× 28 0.2× 48 983

Countries citing papers authored by Yang Cao

Since Specialization
Citations

This map shows the geographic impact of Yang 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 Yang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Cao more than expected).

Fields of papers citing papers by Yang Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang 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 Yang Cao. The network helps show where Yang Cao may publish in the future.

Co-authorship network of co-authors of Yang Cao

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

All Works

20 of 20 papers shown
1.
Shen, Qinqin, et al.. (2025). Spatial-temporal clustering enhanced multi-graph convolutional network for traffic flow prediction. Applied Intelligence. 55(7). 2 indexed citations
2.
Shen, Qinqin, et al.. (2024). Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction. Engineering Applications of Artificial Intelligence. 133. 108135–108135. 9 indexed citations
3.
Cao, Yang, et al.. (2024). Modified two-step modulus-based matrix splitting iteration methods for implicit complementarity problems. Computational and Applied Mathematics. 43(6).
4.
Cao, Yang, et al.. (2024). A Robust Newton Iteration Method for Mixed-Cell-Height Circuit Legalization Under Technology and Region Constraints. ACM Transactions on Design Automation of Electronic Systems. 29(6). 1–25.
5.
Cao, Yang, et al.. (2024). A Study on the Effect of Turbulence Intensity on Dual Vertical-Axis Wind Turbine Aerodynamic Performance. Energies. 17(16). 4124–4124. 4 indexed citations
6.
Cao, Yang, et al.. (2024). Research on Aerodynamic Performance of Asynchronous-Hybrid Dual-Rotor Vertical-Axis Wind Turbines. Energies. 17(17). 4424–4424. 4 indexed citations
7.
Shen, Qinqin, et al.. (2023). PLU-MCN: Perturbation learning enhanced U-shaped multi-graph convolutional network for traffic flow prediction. Information Fusion. 104. 102213–102213. 9 indexed citations
8.
Huang, Jiashuang, et al.. (2023). Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction. Engineering Applications of Artificial Intelligence. 121. 106044–106044. 81 indexed citations breakdown →
9.
Cao, Yang, Qian Zhong, Jianping Xia, et al.. (2023). Influence of Magnetic Pole Stepping Combined with Auxiliary Stator Slots on the Stability of Dual-Rotor Disc Motors. Energies. 16(22). 7512–7512. 1 indexed citations
10.
Cao, Yang, et al.. (2020). EIGENVALUE ESTIMATES OF THE REGULARIZED HSS PRECONDITIONED SADDLE POINT MATRIX. 42(1). 51. 1 indexed citations
11.
Wang, Qiang, et al.. (2019). Network Representation Learning Enhanced Recommendation Algorithm. IEEE Access. 7. 61388–61399. 5 indexed citations
12.
Ren, Zhi-Ru, Yang Cao, & Qiang Niu. (2016). Spectral analysis of the generalized shift-splitting preconditioned saddle point problem. Journal of Computational and Applied Mathematics. 311. 539–550. 13 indexed citations
13.
Cao, Yang, et al.. (2015). A class of generalized shift-splitting preconditioners for nonsymmetric saddle point problems. Applied Mathematics Letters. 49. 20–27. 48 indexed citations
14.
Cao, Yang, et al.. (2014). A relaxed deteriorated PSS preconditioner for nonsymmetric saddle point problems from the steady Navier–Stokes equation. Journal of Computational and Applied Mathematics. 273. 41–60. 74 indexed citations
15.
Cao, Yang, et al.. (2014). Semi-convergence of the generalized local HSS method for singular saddle point problems. Revista de la Unión Matemática Argentina. 55(2). 71–80. 4 indexed citations
16.
Cao, Yang, Weiwei Tan, & Mei‐Qun Jiang. (2012). A RELAXED DIMENSIONAL FACTORIZATION PRECONDITIONER FOR GENERALIZED SADDLE POINT PROBLEMS. 34(4). 351. 2 indexed citations
17.
Cao, Yang, et al.. (2012). ON PSS-BASED CONSTRAINT PRECONDITIONERS FOR GENERALIZED SADDLE POINT PROBLEMS. 34(2). 183. 1 indexed citations
18.
Cao, Yang, et al.. (2012). A generalization of the positive-definite and skew-Hermitiansplitting iteration. Numerical Algebra Control and Optimization. 2(4). 811–821. 12 indexed citations
19.
Jiang, Mei‐Qun & Yang Cao. (2009). On local Hermitian and skew-Hermitian splitting iteration methods for generalized saddle point problems. Journal of Computational and Applied Mathematics. 231(2). 973–982. 66 indexed citations
20.
Cao, Yang, et al.. (2002). An Artificial Immune Model for Network Intrusion Detection. Computer Engineering and Applications Journal. 38(9). 133–135. 38 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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