Jun Huan

About

Jun Huan is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Huan has authored 21 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun Huan’s work include Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (6 papers) and Genomics and Phylogenetic Studies (5 papers). Jun Huan is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (6 papers) and Genomics and Phylogenetic Studies (5 papers). Jun Huan collaborates with scholars based in United States, China and The Netherlands. Jun Huan's co-authors include Wei Wang, Deepak Bandyopadhyay, Alexander Tropsha, Jack Snoeyink and Jan F. Prins and has published in prestigious journals such as BMC Bioinformatics, Journal of Theoretical Biology and Protein Science.

In The Last Decade

Fields of papers citing papers by Jun Huan

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

Countries citing papers authored by Jun Huan

Since Specialization

Citations

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

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