Jun Huan

28 papers and 415 indexed citations i.

About

Jun Huan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jun Huan has authored 28 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 11 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Jun Huan’s work include Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (5 papers) and Bioinformatics and Genomic Networks (5 papers). Jun Huan is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (5 papers) and Bioinformatics and Genomic Networks (5 papers). Jun Huan collaborates with scholars based in United States, China and South Korea. Jun Huan's co-authors include Gerald H. Lushington, Hongliang Fei, Jintao Zhang, Chao Lan and Xiaohong Wang and has published in prestigious journals such as BMC Bioinformatics, IEEE Access and Separation and Purification Technology.

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).

Rankless by CCL
2025