Yu Fang

18 papers and 307 indexed citations i.

About

Yu Fang is a scholar working on Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics. According to data from OpenAlex, Yu Fang has authored 18 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Yu Fang’s work include Advanced Clustering Algorithms Research (4 papers), Data Management and Algorithms (3 papers) and Complex Network Analysis Techniques (3 papers). Yu Fang is often cited by papers focused on Advanced Clustering Algorithms Research (4 papers), Data Management and Algorithms (3 papers) and Complex Network Analysis Techniques (3 papers). Yu Fang collaborates with scholars based in China, Pakistan and Bahrain. Yu Fang's co-authors include Zhengming Ma, Tao Zhong and Kyoji Kawagoe and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, IEEE Access and Pattern Recognition.

In The Last Decade

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

Countries citing papers authored by Yu Fang

Since Specialization
Citations

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

Rankless by CCL
2025