Ping Yan

975 total citations
40 papers, 511 citations indexed

About

Ping Yan is a scholar working on Public Health, Environmental and Occupational Health, Geometry and Topology and Applied Mathematics. According to data from OpenAlex, Ping Yan has authored 40 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 14 papers in Geometry and Topology and 11 papers in Applied Mathematics. Recurrent topics in Ping Yan's work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Advanced Differential Equations and Dynamical Systems (11 papers) and Nonlinear Differential Equations Analysis (8 papers). Ping Yan is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Advanced Differential Equations and Dynamical Systems (11 papers) and Nonlinear Differential Equations Analysis (8 papers). Ping Yan collaborates with scholars based in China, Finland and Russia. Ping Yan's co-authors include Mats Gyllenberg, Shengqiang Liu, Shiping Lu, Éva Kisdi, Stefan A.H. Geritz, Yi Wang, Meirong Zhang, Xiong Li, Jinzhi Lei and Jifa Jiang and has published in prestigious journals such as Journal of Affective Disorders, BMC Genomics and Journal of Mathematical Analysis and Applications.

In The Last Decade

Ping Yan

39 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Yan China 13 225 140 135 97 89 40 511
Antonio Tineo Venezuela 14 401 1.8× 242 1.7× 126 0.9× 155 1.6× 48 0.5× 46 578
Xin Lü China 16 211 0.9× 109 0.8× 129 1.0× 56 0.6× 39 0.4× 74 624
Guangying Lv China 13 288 1.3× 204 1.5× 74 0.5× 37 0.4× 37 0.4× 79 565
Alfonso Ruiz-Herrera Spain 12 318 1.4× 49 0.3× 166 1.2× 51 0.5× 95 1.1× 55 514
Lev Idels Canada 12 410 1.8× 247 1.8× 69 0.5× 82 0.8× 25 0.3× 30 623
Haijun Hu China 11 294 1.3× 161 1.1× 146 1.1× 91 0.9× 38 0.4× 20 600
Manjun Ma China 13 299 1.3× 214 1.5× 146 1.1× 47 0.5× 20 0.2× 55 637
Yukio Kan-on Japan 10 485 2.2× 121 0.9× 266 2.0× 48 0.5× 60 0.7× 21 553
Linfei Nie China 14 566 2.5× 117 0.8× 220 1.6× 94 1.0× 56 0.6× 74 720
Hassan A. El-Morshedy Egypt 14 214 1.0× 258 1.8× 44 0.3× 55 0.6× 33 0.4× 43 406

Countries citing papers authored by Ping Yan

Since Specialization
Citations

This map shows the geographic impact of 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 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 Ping Yan more than expected).

Fields of papers citing papers by Ping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yan. A scholar is included among the top collaborators of 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 Ping Yan. 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
1.
Wang, Yu, Ping Yan, Guan Wang, et al.. (2024). Trajectory on postpartum depression of Chinese women and the risk prediction models: A machine-learning based three-wave follow-up research. Journal of Affective Disorders. 365. 185–192. 6 indexed citations
2.
3.
Jiang, Luyao, Hao Pan, Fan Yang, et al.. (2024). Analysis of the recombination and evolution of the new type mutant pseudorabies virus XJ5 in China. BMC Genomics. 25(1). 752–752. 2 indexed citations
4.
Yan, Ping, et al.. (2023). Radioiodination, purification, and evaluation of antihuman tumor‐derived immunoglobulin G light chain monoclonal antibody in tumor‐bearing nude mice. Journal of Labelled Compounds and Radiopharmaceuticals. 66(3). 108–115. 1 indexed citations
5.
Zhang, Daoxiang, et al.. (2017). Pattern formation and selection in a diffusive predator-prey system with ratio-dependent functional response. Acta Ecologica Sinica. 37(5). 290–297. 1 indexed citations
6.
Zhang, Daoxiang & Ping Yan. (2017). Necessary and sufficient conditions for the nonexistence of limit cycles of Leslie–Gower predator–prey models. Applied Mathematics Letters. 71. 1–5. 3 indexed citations
7.
Zhang, Daoxiang & Ping Yan. (2016). Uniqueness and hyperbolicity of limit cycles for autonomous planar systems with zero diagonal coefficient. Applied Mathematics Letters. 67. 75–80. 1 indexed citations
8.
Li, Wen, Rong Jiang, Qin‐Hua Zhao, et al.. (2013). [Effects of ambrisentan in treatment of pulmonary arterial hypertension: a pilot study with 15 patients].. PubMed. 41(6). 493–6. 2 indexed citations
9.
Yan, Ping, Zhangping Li, Jie Zhang, et al.. (2011). Effect of exogenous phosphocreatine on cardiomycytic apoptosis and expression of Bcl-2 and Bax after cardiopulmonary resuscitation in rats. World Journal of Emergency Medicine. 2(4). 291–291. 10 indexed citations
10.
Gyllenberg, Mats & Ping Yan. (2009). Four limit cycles for a three-dimensional competitive Lotka–Volterra system with a heteroclinic cycle. Computers & Mathematics with Applications. 58(4). 649–669. 30 indexed citations
11.
Yan, Ping, et al.. (2009). Existence and global attractivity of positive periodic solutions of competitor–competitor–mutualist Lotka–Volterra systems with deviating arguments. Mathematical and Computer Modelling. 51(5-6). 823–832. 11 indexed citations
12.
Gyllenberg, Mats, et al.. (2008). Ecology and evolution of symbiosis in metapopulations. Journal of Biological Dynamics. 3(1). 39–57. 1 indexed citations
13.
Geritz, Stefan A.H., Éva Kisdi, & Ping Yan. (2007). Evolutionary branching and long-term coexistence of cycling predators: Critical function analysis. Theoretical Population Biology. 71(4). 424–435. 53 indexed citations
14.
Yan, Ping & Shengqiang Liu. (2006). SEIR epidemic model with delay. The ANZIAM Journal. 48(1). 119–134. 59 indexed citations
15.
Gyllenberg, Mats, Ping Yan, & Yi Wang. (2006). Limit cycles for competitor–competitor–mutualist Lotka–Volterra systems. Physica D Nonlinear Phenomena. 221(2). 135–145. 25 indexed citations
16.
Gyllenberg, Mats, Ping Yan, & Yi Wang. (2005). A 3D competitive Lotka–Volterra system with three limit cycles: A falsification of a conjecture by Hofbauer and So. Applied Mathematics Letters. 19(1). 1–7. 44 indexed citations
17.
Gyllenberg, Mats, Ping Yan, & Jifa Jiang. (2003). The qualitative behavior of a second-order system with zero diagonal coefficient. Journal of Mathematical Analysis and Applications. 291(1). 322–340. 6 indexed citations
18.
Gyllenberg, Mats & Ping Yan. (2001). On a Conjecture by Yang. Journal of Mathematical Analysis and Applications. 264(2). 687–690. 10 indexed citations
19.
Yan, Ping, et al.. (1999). A Strengthened Carleman's Inequality. Journal of Mathematical Analysis and Applications. 240(1). 290–293. 28 indexed citations
20.
Wang, Xian, Jifa Jiang, & Ping Yan. (1998). Analysis of Global Bifurcation for a Class of Systems of Degree Five. Journal of Mathematical Analysis and Applications. 222(2). 305–318. 3 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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