Cong Yang
About
Cong Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Cong Yang has authored 34 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cong Yang’s work include Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Cong Yang is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Cong Yang collaborates with scholars based in China, United States and Canada. Cong Yang's co-authors include Weiguo Wu, Yanni Dong, Dipak Rana, Yaping Wu, Yusong Lin, Johnson E. Efome, Meiyun Wang, Shaoxiang Zhang, Takeshi Matsuura and Christopher Q. Lan and has published in prestigious journals such as Journal of Molecular Biology, Biochemistry and IEEE Transactions on Geoscience and Remote Sensing.
In The Last Decade
Co-authorship network of co-authors of Cong Yang i
Fields of papers citing papers by Cong Yang
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 Cong Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Cong Yang may publish in the future.
Countries citing papers authored by Cong Yang
Since SpecializationCitations
This map shows the geographic impact of Cong Yang'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 Cong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Yang more than expected).
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