Xiang‐Ping Yan

1.4k total citations
59 papers, 1.2k citations indexed

About

Xiang‐Ping Yan is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications and Modeling and Simulation. According to data from OpenAlex, Xiang‐Ping Yan has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Public Health, Environmental and Occupational Health, 30 papers in Computer Networks and Communications and 17 papers in Modeling and Simulation. Recurrent topics in Xiang‐Ping Yan's work include Mathematical and Theoretical Epidemiology and Ecology Models (47 papers), Nonlinear Dynamics and Pattern Formation (24 papers) and Evolution and Genetic Dynamics (15 papers). Xiang‐Ping Yan is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (47 papers), Nonlinear Dynamics and Pattern Formation (24 papers) and Evolution and Genetic Dynamics (15 papers). Xiang‐Ping Yan collaborates with scholars based in China, United States and Canada. Xiang‐Ping Yan's co-authors include Wan‐Tong Li, Cun‐Hua Zhang, Jia‐Fang Zhang, Yan-Dong Chu, Junping Shi, Hao Wang, Chuncheng Wang, Long Li, Guo Lin and Shu Wang and has published in prestigious journals such as Energy, Applied Thermal Engineering and Journal of Mathematical Analysis and Applications.

In The Last Decade

Xiang‐Ping Yan

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang‐Ping Yan China 21 968 520 483 345 173 59 1.2k
Binxiang Dai China 19 703 0.7× 333 0.6× 373 0.8× 323 0.9× 409 2.4× 115 1.2k
Fengqi Yi China 13 974 1.0× 629 1.2× 542 1.1× 389 1.1× 63 0.4× 20 1.1k
Weihua Jiang China 20 773 0.8× 731 1.4× 424 0.9× 317 0.9× 43 0.2× 95 1.3k
Shanshan Chen China 20 844 0.9× 316 0.6× 505 1.0× 344 1.0× 133 0.8× 47 1.0k
Teresa Faria Portugal 20 1.2k 1.3× 952 1.8× 495 1.0× 445 1.3× 401 2.3× 55 2.1k
Jifa Jiang China 18 733 0.8× 197 0.4× 297 0.6× 276 0.8× 254 1.5× 102 1.2k
Taishan Yi China 15 532 0.5× 235 0.5× 183 0.4× 194 0.6× 341 2.0× 35 806
Yongzhen Pei China 18 669 0.7× 180 0.3× 384 0.8× 306 0.9× 99 0.6× 86 927
Eduardo Liz Spain 27 990 1.0× 368 0.7× 354 0.7× 327 0.9× 755 4.4× 115 1.9k
Zohreh Eskandari Iran 17 527 0.5× 233 0.4× 277 0.6× 372 1.1× 56 0.3× 46 896

Countries citing papers authored by Xiang‐Ping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiang‐Ping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang‐Ping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang‐Ping Yan. A scholar is included among the top collaborators of Xiang‐Ping 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 Xiang‐Ping Yan. Xiang‐Ping Yan 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
2.
Lian, Liping, Xiang‐Ping Yan, & Cun‐Hua Zhang. (2025). Pattern dynamics in a bimolecular reaction–diffusion model with saturation law and cross-diffusion. Chaos Solitons & Fractals. 192. 116006–116006.
3.
Pang, Hui, et al.. (2024). Parameterization and heat generation investigation of cylindrical lithium batteries based on a reconstructed electrochemical-thermal coupling model. Applied Thermal Engineering. 257. 124328–124328. 2 indexed citations
5.
Yan, Xiang‐Ping & Cun‐Hua Zhang. (2022). Spatiotemporal Dynamics in a Diffusive Predator–Prey System with Beddington–DeAngelis Functional Response. Qualitative Theory of Dynamical Systems. 21(4). 2 indexed citations
6.
Shi, Junping, Chuncheng Wang, Hao Wang, & Xiang‐Ping Yan. (2019). Diffusive Spatial Movement with Memory. Journal of Dynamics and Differential Equations. 32(2). 979–1002. 92 indexed citations
7.
Lin, Guo, Shuxia Pan, & Xiang‐Ping Yan. (2019). Spreading speeds of epidemic models with nonlocal delays. Mathematical Biosciences & Engineering. 16(6). 7562–7588. 14 indexed citations
8.
Yan, Xiang‐Ping, Jianye Chen, & Cun‐Hua Zhang. (2019). Dynamics analysis of a chemical reaction–diffusion model subject to Degn–Harrison reaction scheme. Nonlinear Analysis Real World Applications. 48. 161–181. 10 indexed citations
9.
Yan, Xiang‐Ping, et al.. (2019). Multiple stability switches and Hopf bifurcation in a damped harmonic oscillator with delayed feedback. Nonlinear Dynamics. 99(3). 2011–2030. 4 indexed citations
10.
Zhang, Cun‐Hua & Xiang‐Ping Yan. (2015). Normal Forms of Hopf Bifurcation for a Reaction-Diffusion System Subject to Neumann Boundary Condition. Journal of Applied Mathematics. 2015. 1–12. 1 indexed citations
11.
Yan, Xiang‐Ping & Cun‐Hua Zhang. (2014). Stability and turing instability in a diffusive predator–prey system with Beddington–DeAngelis functional response. Nonlinear Analysis Real World Applications. 20. 1–13. 39 indexed citations
12.
Li, Wan‐Tong, et al.. (2012). Stability and Hopf bifurcation for a three-species food chain model with time delay and spatial diffusion. Applied Mathematics and Computation. 219(5). 2713–2731. 18 indexed citations
13.
Wang, Changyou, Shu Wang, & Xiang‐Ping Yan. (2009). Global Asymptotic Stability of 3‐Species Mutualism Models with Diffusion and Delay Effects. Discrete Dynamics in Nature and Society. 2009(1). 10 indexed citations
14.
Yan, Xiang‐Ping & Cun‐Hua Zhang. (2009). Asymptotic stability of positive equilibrium solution for a delayed prey–predator diffusion system. Applied Mathematical Modelling. 34(1). 184–199. 22 indexed citations
15.
Li, Wan‐Tong, et al.. (2008). HOPF BIFURCATION AND STABILITY OF PERIODIC SOLUTIONS IN THE DELAYED LIÉNARD EQUATION. International Journal of Bifurcation and Chaos. 18(10). 3147–3157. 4 indexed citations
16.
Zhang, Jia‐Fang, Wan‐Tong Li, & Xiang‐Ping Yan. (2007). Hopf bifurcation and stability of periodic solutions in a delayed eco-epidemiological system. Applied Mathematics and Computation. 198(2). 865–876. 38 indexed citations
17.
Yan, Xiang‐Ping & Wan‐Tong Li. (2006). Stability and bifurcation in a simplified four‐neuron BAM neural network with multiple delays. Discrete Dynamics in Nature and Society. 2006(1). 12 indexed citations
18.
Yan, Xiang‐Ping & Wan‐Tong Li. (2006). Global existence of periodic solutions in a simplified four‐neuron BAM neural network model with multiple delays. Discrete Dynamics in Nature and Society. 2006(1). 3 indexed citations
19.
Yan, Xiang‐Ping. (2005). Hopf bifurcation and stability for a delayed tri-neuron network model. Journal of Computational and Applied Mathematics. 196(2). 579–595. 38 indexed citations
20.
Yan, Xiang‐Ping & Yan-Dong Chu. (2005). Stability and bifurcation analysis for a delayed Lotka–Volterra predator–prey system. Journal of Computational and Applied Mathematics. 196(1). 198–210. 65 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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