Ming‐Hui Chen

483 papers and 12.6k indexed citations i.

About

Ming‐Hui Chen is a scholar working on Pulmonary and Respiratory Medicine, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Ming‐Hui Chen has authored 483 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Pulmonary and Respiratory Medicine, 145 papers in Statistics and Probability and 57 papers in Artificial Intelligence. Recurrent topics in Ming‐Hui Chen’s work include Prostate Cancer Diagnosis and Treatment (136 papers), Prostate Cancer Treatment and Research (133 papers) and Statistical Methods and Bayesian Inference (74 papers). Ming‐Hui Chen is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (136 papers), Prostate Cancer Treatment and Research (133 papers) and Statistical Methods and Bayesian Inference (74 papers). Ming‐Hui Chen collaborates with scholars based in United States, China and Brazil. Ming‐Hui Chen's co-authors include Anthony V. D’Amico, Andrew A. Renshaw, Anthony V. D’Amico, Marian Loffredo and Joseph G. Ibrahim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and JAMA.

In The Last Decade

Fields of papers citing papers by Ming‐Hui Chen

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

Countries citing papers authored by Ming‐Hui Chen

Since Specialization
Citations

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

Rankless by CCL
2025