AI Yuan-fang

16 papers and 862 indexed citations i.

About

AI Yuan-fang is a scholar working on Polymers and Plastics, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, AI Yuan-fang has authored 16 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Polymers and Plastics, 6 papers in Mechanical Engineering and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in AI Yuan-fang’s work include Flame retardant materials and properties (12 papers), Synthesis and properties of polymers (6 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (3 papers). AI Yuan-fang is often cited by papers focused on Flame retardant materials and properties (12 papers), Synthesis and properties of polymers (6 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (3 papers). AI Yuan-fang collaborates with scholars based in China and Spain. AI Yuan-fang's co-authors include Rongkun Jian, Long Xia, Haibo Zhao, Yanlian Xu, Xuelin Zheng, De‐Yi Wang, Guilin Chen, Pan Wang, Junsheng Wang and Zhipeng Zhang and has published in prestigious journals such as Advanced Functional Materials, Journal of Hazardous Materials and Chemosphere.

In The Last Decade

Co-authorship network of co-authors of AI Yuan-fang i

Fields of papers citing papers by AI Yuan-fang

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 AI Yuan-fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where AI Yuan-fang may publish in the future.

Countries citing papers authored by AI Yuan-fang

Since Specialization
Citations

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

Rankless by CCL
2025