Lei Fang

About

Lei Fang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Lei Fang has authored 22 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 4 papers in Materials Chemistry. Recurrent topics in Lei Fang’s work include Topic Modeling (4 papers), Machine Learning in Materials Science (3 papers) and Advanced Text Analysis Techniques (3 papers). Lei Fang is often cited by papers focused on Topic Modeling (4 papers), Machine Learning in Materials Science (3 papers) and Advanced Text Analysis Techniques (3 papers). Lei Fang collaborates with scholars based in China, United States and United Kingdom. Lei Fang's co-authors include Jian–Guang Lou, Bei Chen, Haoyan Liu, Dongmei Zhang and Minlie Huang and has published in prestigious journals such as Nature Communications, Applied Energy and Frontiers in Microbiology.

In The Last Decade

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

Countries citing papers authored by Lei Fang

Since Specialization

Citations

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

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