Wei Fang
About
Wei Fang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence.
According to data from OpenAlex, Wei Fang has authored 121 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 17 papers in Electrical and Electronic Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Wei Fang’s work include Advancements in Photolithography Techniques (8 papers), Meteorological Phenomena and Simulations (8 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). Wei Fang is often cited by papers focused on Advancements in Photolithography Techniques (8 papers), Meteorological Phenomena and Simulations (8 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). Wei Fang collaborates with scholars based in China, United States and France. Wei Fang's co-authors include Xuezhi Wen, Ling Shao, Yu Xue, Athanasios V. Vasilakos, Tadashi Nakano, Jianwei Shuai, Michael J. Moore, Victor S. Sheng, Yonghong Tian and Yanqi Chen and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Materials and Scientific Reports.
In The Last Decade
Co-authorship network of co-authors of Wei Fang i
Fields of papers citing papers by Wei Fang
Since SpecializationEngineeringComputer 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 Wei Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Wei Fang may publish in the future.
Countries citing papers authored by Wei Fang
Since SpecializationCitations
This map shows the geographic impact of Wei 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 Wei Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Fang more than expected).
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