J. T. Gene Hwang

48 papers and 1.6k indexed citations i.

About

J. T. Gene Hwang is a scholar working on Statistics and Probability, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, J. T. Gene Hwang has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 12 papers in Management Science and Operations Research and 11 papers in Molecular Biology. Recurrent topics in J. T. Gene Hwang’s work include Statistical Methods in Clinical Trials (17 papers), Optimal Experimental Design Methods (12 papers) and Statistical Methods and Bayesian Inference (11 papers). J. T. Gene Hwang is often cited by papers focused on Statistical Methods in Clinical Trials (17 papers), Optimal Experimental Design Methods (12 papers) and Statistical Methods and Bayesian Inference (11 papers). J. T. Gene Hwang collaborates with scholars based in United States, Taiwan and France. J. T. Gene Hwang's co-authors include Lawrence D. Brown, A. Adam Ding, George Casella, Christian P. Robert and Dan Nettleton and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Technometrics.

In The Last Decade

Fields of papers citing papers by J. T. Gene Hwang

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

Countries citing papers authored by J. T. Gene Hwang

Since Specialization
Citations

This map shows the geographic impact of J. T. Gene Hwang'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 J. T. Gene Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. T. Gene Hwang more than expected).

Rankless by CCL
2025