Xiang‐Ping Yan

56 papers and 1.1k indexed citations i.

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 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Public Health, Environmental and Occupational Health, 29 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 (46 papers), Nonlinear Dynamics and Pattern Formation (23 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 (46 papers), Nonlinear Dynamics and Pattern Formation (23 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, Changyou Wang and Shu Wang and has published in prestigious journals such as Energy, Applied Thermal Engineering and Physica D Nonlinear Phenomena.

In The Last Decade

Fields of papers citing papers by Xiang‐Ping Yan

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Xiang‐Ping Yan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiang‐Ping Yan may publish in the future.

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).

Rankless by CCL
2025