Ling Huang
About
Ling Huang is a scholar working on Molecular Biology, Artificial Intelligence and Physiology.
According to data from OpenAlex, Ling Huang has authored 44 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Physiology. Recurrent topics in Ling Huang’s work include Pain Mechanisms and Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Plant tissue culture and regeneration (2 papers). Ling Huang is often cited by papers focused on Pain Mechanisms and Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Plant tissue culture and regeneration (2 papers). Ling Huang collaborates with scholars based in China, France and Hong Kong. Ling Huang's co-authors include Su Ruan, Thierry Denœux, Binge Cui and Pierre Decazes and has published in prestigious journals such as Scientific Reports, Cellular and Molecular Life Sciences and Energy.
In The Last Decade
Fields of papers citing papers by Ling 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 Ling Huang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ling Huang may publish in the future.
Countries citing papers authored by Ling Huang
Since SpecializationCitations
This map shows the geographic impact of Ling 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 Ling Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Huang more than expected).
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