Feng Yan

About

Feng Yan is a scholar working on Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Yan has authored 44 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 15 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Yan’s work include Optical Coherence Tomography Applications (13 papers), Complex Network Analysis Techniques (8 papers) and Adversarial Robustness in Machine Learning (7 papers). Feng Yan is often cited by papers focused on Optical Coherence Tomography Applications (13 papers), Complex Network Analysis Techniques (8 papers) and Adversarial Robustness in Machine Learning (7 papers). Feng Yan collaborates with scholars based in China, United States and Hungary. Feng Yan's co-authors include Chun Chen, Defang Chen, Jian-Ping Mei, Can Wang, Can Wang, Zhe Wang, Yuan Zhang, Shu‐Tao Xia, Qinggong Tang and Tao Dai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Feng Yan i

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Fields of papers citing papers by Feng Yan

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

Countries citing papers authored by Feng Yan

Since Specialization

Citations

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

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