Hui Fang

115 papers and 6.4k indexed citations i.

About

Hui Fang is a scholar working on Artificial Intelligence, Information Systems and Materials Chemistry. According to data from OpenAlex, Hui Fang has authored 115 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 37 papers in Information Systems and 32 papers in Materials Chemistry. Recurrent topics in Hui Fang’s work include Topic Modeling (33 papers), Information Retrieval and Search Behavior (22 papers) and Web Data Mining and Analysis (21 papers). Hui Fang is often cited by papers focused on Topic Modeling (33 papers), Information Retrieval and Search Behavior (22 papers) and Web Data Mining and Analysis (21 papers). Hui Fang collaborates with scholars based in United States, China and Canada. Hui Fang's co-authors include Ali Javey, Peilin Yang, Kuniharu Takei, Xitong Liu and Jimmy Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nano Letters and ACS Nano.

In The Last Decade

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

Countries citing papers authored by Hui Fang

Since Specialization

Citations

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

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