Fan Dai

About

Fan Dai is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Fan Dai has authored 15 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Media Technology, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Ecology. Recurrent topics in Fan Dai’s work include Remote-Sensing Image Classification (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Robotic Mechanisms and Dynamics (3 papers). Fan Dai is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Robotic Mechanisms and Dynamics (3 papers). Fan Dai collaborates with scholars based in China, Germany and United States. Fan Dai's co-authors include Guanzhou Chen, Kun Zhu, Yuanfu Gong and Xiaodong Zhang and has published in prestigious journals such as Remote Sensing, Health & Place and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Fields of papers citing papers by Fan Dai

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

Countries citing papers authored by Fan Dai

Since Specialization

Citations

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

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