Ming Huang

57 papers and 645 indexed citations i.

About

Ming Huang is a scholar working on Molecular Biology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Ming Huang has authored 57 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Artificial Intelligence and 11 papers in General Health Professions. Recurrent topics in Ming Huang’s work include Health Literacy and Information Accessibility (8 papers), Machine Learning in Healthcare (8 papers) and Mental Health via Writing (7 papers). Ming Huang is often cited by papers focused on Health Literacy and Information Accessibility (8 papers), Machine Learning in Healthcare (8 papers) and Mental Health via Writing (7 papers). Ming Huang collaborates with scholars based in United States, China and Hong Kong. Ming Huang's co-authors include Darrin M. York, Timothy J. Giese, Tai‐Sung Lee, Haoyuan Chen, Lixia Yao, Brian K. Radak, K. Y. Wong, Andrew Wen, Nansu Zong and Maryam Zolnoori and has published in prestigious journals such as Journal of Clinical Oncology, Accounts of Chemical Research and Physical Chemistry Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Ming Huang i

Fields of papers citing papers by Ming Huang

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

Countries citing papers authored by Ming Huang

Since Specialization
Citations

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

Rankless by CCL
2025