Chaoran Huang
About
Chaoran Huang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Neurology.
According to data from OpenAlex, Chaoran Huang has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 23 papers in Artificial Intelligence and 7 papers in Neurology. Recurrent topics in Chaoran Huang’s work include Optical Network Technologies (26 papers), Photonic and Optical Devices (22 papers) and Neural Networks and Reservoir Computing (21 papers). Chaoran Huang is often cited by papers focused on Optical Network Technologies (26 papers), Photonic and Optical Devices (22 papers) and Neural Networks and Reservoir Computing (21 papers). Chaoran Huang collaborates with scholars based in Hong Kong, United States and Canada. Chaoran Huang's co-authors include Paul R. Prucnal, Thomas Ferreira de Lima, Bhavin J. Shastri, Alexander N. Tait and E. Woo and has published in prestigious journals such as Nature, Nature Communications and Stroke.
In The Last Decade
Fields of papers citing papers by Chaoran Huang
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 Chaoran Huang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chaoran Huang may publish in the future.
Countries citing papers authored by Chaoran Huang
Since SpecializationCitations
This map shows the geographic impact of Chaoran Huang'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 Chaoran Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoran Huang more than expected).
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