En Fan

About

En Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, En Fan has authored 40 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Electrical and Electronic Engineering. Recurrent topics in En Fan’s work include Target Tracking and Data Fusion in Sensor Networks (12 papers), Multi-Criteria Decision Making (7 papers) and Video Surveillance and Tracking Methods (7 papers). En Fan is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (12 papers), Multi-Criteria Decision Making (7 papers) and Video Surveillance and Tracking Methods (7 papers). En Fan collaborates with scholars based in China, Australia and Slovenia. En Fan's co-authors include Peng Wang, Pin Wang, Shigen Shen, Ke‐Li Hu, Longjun Huang, Jun Ye, Qiying Cao, Shui Yu, Haiping Zhou and Jian Hua Liu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of En Fan i

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

Countries citing papers authored by En Fan

Since Specialization

Citations

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

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