Yuan Fang

110 papers and 1.6k indexed citations i.

About

Yuan Fang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuan Fang has authored 110 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 26 papers in Information Systems and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuan Fang’s work include Advanced Graph Neural Networks (41 papers), Complex Network Analysis Techniques (19 papers) and Topic Modeling (18 papers). Yuan Fang is often cited by papers focused on Advanced Graph Neural Networks (41 papers), Complex Network Analysis Techniques (19 papers) and Topic Modeling (18 papers). Yuan Fang collaborates with scholars based in China, Singapore and United States. Yuan Fang's co-authors include Min Wu, Xiaoli Li, Chuan Shi, Vincent W. Zheng and Kevin Chen–Chuan Chang and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Fields of papers citing papers by 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 Yuan Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yuan Fang may publish in the future.

Countries citing papers authored by Yuan Fang

Since Specialization
Citations

This map shows the geographic impact of 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 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 Yuan Fang more than expected).

Rankless by CCL
2025