Linxi Fan

About

Linxi Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Linxi Fan has authored 5 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Linxi Fan’s work include Domain Adaptation and Few-Shot Learning (2 papers), Multi-Agent Systems and Negotiation (1 paper) and Computational Drug Discovery Methods (1 paper). Linxi Fan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multi-Agent Systems and Negotiation (1 paper) and Computational Drug Discovery Methods (1 paper). Linxi Fan collaborates with scholars based in United States, Canada and Philippines. Linxi Fan's co-authors include Mohammad Shoeybi, Fei Xia, Li Fei-Fei, Percy Liang and De-An Huang and has published in prestigious journals such as Computers & Chemical Engineering.

In The Last Decade

Fields of papers citing papers by Linxi Fan

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

Countries citing papers authored by Linxi Fan

Since Specialization

Citations

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

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