Xiang‐Ping Yan

1.5k citations
59 papers · 1.2k · h-index 21

Impact in

Papers in

Xiang‐Ping Yan

56 papers receiving 1.1k citations

Peers

Xiang‐Ping Yan
Comparison fields: 5 of 64
  • Modeling and Simulation 352
  • Public Health, Environmental and Occupational Health 982
  • Computer Networks and Communications 523
  • Geometry and Topology 161
  • Genetics 494
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Citations per field
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Citations per year

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-authors

The 23 scholars most cited alongside Xiang‐Ping Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiang‐Ping Yan Line = papers co-authored together Xiang‐Ping Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 200581
3 200676
4 200565
5 200764
6 201061
7 201047
8 201144
9 200743
10 201440
11 200738
12 200538
13 201138
14 200934
15 200732
16 200630
17 201529
18 200927
19 200825
20 200922

About Xiang‐Ping Yan

Xiang‐Ping Yan is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications, Modeling and Simulation, Genetics and Applied Mathematics, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (47 papers), Nonlinear Dynamics and Pattern Formation (24 papers), Evolution and Genetic Dynamics (15 papers), Nonlinear Differential Equations Analysis (14 papers), Neural Networks Stability and Synchronization (11 papers), Fractional Differential Equations Solutions (11 papers), stochastic dynamics and bifurcation (8 papers) and Differential Equations and Numerical Methods (7 papers). The work is most often cited by research in Modeling and Simulation (352 citations), Public Health, Environmental and Occupational Health (982 citations), Computer Networks and Communications (523 citations), Geometry and Topology (161 citations) and Genetics (494 citations). Xiang‐Ping Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wan‐Tong Li, Cun‐Hua Zhang, Jia‐Fang Zhang, Junping Shi, Yan-Dong Chu, Chuncheng Wang, Hao Wang, Long Li, Changyou Wang and Guo Lin. Their work appears in journals such as Nonlinear Analysis Real World Applications, International Journal of Bifurcation and Chaos, Applied Mathematics and Computation, Chaos Solitons & Fractals and International Journal of Biomathematics.

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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