Yue Yan

557 total citations
12 papers, 387 citations indexed

About

Yue Yan is a scholar working on Computational Mechanics, Modeling and Simulation and Materials Chemistry. According to data from OpenAlex, Yue Yan has authored 12 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 4 papers in Modeling and Simulation and 3 papers in Materials Chemistry. Recurrent topics in Yue Yan's work include Advanced Numerical Methods in Computational Mathematics (6 papers), COVID-19 epidemiological studies (4 papers) and Solidification and crystal growth phenomena (3 papers). Yue Yan is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (6 papers), COVID-19 epidemiological studies (4 papers) and Solidification and crystal growth phenomena (3 papers). Yue Yan collaborates with scholars based in China, United States and Canada. Yue Yan's co-authors include Wenbin Chen, Steven M. Wise, Cheng Wang, Xiaoming Wang, Zhuying Zhang, Weijia Li, Cheng Wang, Kazufumi Ito, Lisheng Hou and S. S. Ravindran and has published in prestigious journals such as SHILAP Revista de lepidopterología, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.

In The Last Decade

Yue Yan

12 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Yan China 8 242 210 108 104 43 12 387
Lizhen Chen China 10 140 0.6× 122 0.6× 49 0.5× 89 0.9× 62 1.4× 29 348
Kelong Cheng China 10 328 1.4× 348 1.7× 139 1.3× 212 2.0× 87 2.0× 18 600
Wenqiang Feng United States 13 409 1.7× 384 1.8× 160 1.5× 160 1.5× 115 2.7× 19 685
Cheng Wang Cheng Wang China 11 163 0.7× 190 0.9× 76 0.7× 70 0.7× 56 1.3× 24 343
Ľubomír Baňas Germany 12 148 0.6× 113 0.5× 138 1.3× 52 0.5× 16 0.4× 35 327
Qiumei Huang China 10 191 0.8× 90 0.4× 62 0.6× 204 2.0× 31 0.7× 42 378
M.I.M. Copetti Brazil 12 166 0.7× 249 1.2× 375 3.5× 61 0.6× 35 0.8× 46 645
Zhen Guan China 8 164 0.7× 260 1.2× 109 1.0× 137 1.3× 55 1.3× 22 378
Zhengguang Liu China 13 240 1.0× 240 1.1× 56 0.5× 296 2.8× 74 1.7× 35 619
Shuonan Wu China 10 194 0.8× 77 0.4× 78 0.7× 70 0.7× 15 0.3× 29 315

Countries citing papers authored by Yue Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yue Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Yan

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

All Works

12 of 12 papers shown
2.
Yan, Yue, et al.. (2020). Multi‐chain Fudan‐CCDC model for COVID‐19 ‐‐ a revisit to Singapore’s case. Quantitative Biology. 8(4). 325–335. 2 indexed citations
3.
Yan, Yue, Shufen Wang, Weijia Li, et al.. (2020). COVID-19 in Singapore: Another story of success. SHILAP Revista de lepidopterología. 12(1). 3 indexed citations
4.
Yan, Yue, et al.. (2020). Dynamic models for Coronavirus Disease 2019 and data analysis. Mathematical Methods in the Applied Sciences. 43(7). 4943–4949. 23 indexed citations
5.
Chen, Wenbin, Xiaoming Wang, Yue Yan, & Zhuying Zhang. (2019). A Second Order BDF Numerical Scheme with Variable Steps for the Cahn--Hilliard Equation. SIAM Journal on Numerical Analysis. 57(1). 495–525. 99 indexed citations
6.
Chen, Wenbin, Yichao Zhang, Weijia Li, Yanqiu Wang, & Yue Yan. (2019). Optimal Convergence Analysis of a Second Order Scheme for a Thin Film Model Without Slope Selection. Journal of Scientific Computing. 80(3). 1716–1730. 12 indexed citations
7.
Yan, Yue, Weijia Li, Wenbin Chen, & Yanqiu Wang. (2018). Optimal Convergence Analysis of a Mixed Finite Element Method for Fourth-Order Elliptic Problems. Communications in Computational Physics. 24(2). 510–530. 6 indexed citations
8.
Li, Weijia, et al.. (2018). A Second Order Energy Stable Linear Scheme for a Thin Film Model Without Slope Selection. Journal of Scientific Computing. 76(3). 1905–1937. 57 indexed citations
9.
Yan, Yue, Wenbin Chen, Cheng Wang, & Steven M. Wise. (2018). A Second-Order Energy Stable BDF Numerical Scheme for the Cahn-Hilliard Equation. Communications in Computational Physics. 23(2). 572–602. 143 indexed citations
10.
Ito, Kazufumi & Yue Yan. (1998). Viscous Scalar Conservation Law with Nonlinear Flux Feedback and Global Attractors. Journal of Mathematical Analysis and Applications. 227(1). 271–299. 18 indexed citations
11.
Gunzburger, Max, Lisheng Hou, Sandro Manservisi, & Yue Yan. (1998). Computations of Optimal Controls for Incompressible Flows. International journal of computational fluid dynamics. 11(1-2). 181–191. 8 indexed citations
12.
Hou, Lisheng, S. S. Ravindran, & Yue Yan. (1997). Numerical Solution of Optimal Distributed Control Problems for Incompressible Flows. International journal of computational fluid dynamics. 8(2). 99–114. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026