Can Meng

22 papers and 675 indexed citations i.

About

Can Meng is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and General Health Professions. According to data from OpenAlex, Can Meng has authored 22 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 5 papers in Statistics, Probability and Uncertainty and 4 papers in General Health Professions. Recurrent topics in Can Meng’s work include Meta-analysis and systematic reviews (5 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods in Clinical Trials (4 papers). Can Meng is often cited by papers focused on Meta-analysis and systematic reviews (5 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods in Clinical Trials (4 papers). Can Meng collaborates with scholars based in United States, Canada and France. Can Meng's co-authors include John B. Fenn, Shek Fu Wong, Matthias Mann, Tomoyuki Shibata, Ansariadi Ansariadi, James L. Wilson, Peter K. Henke, Denise Esserman, Fan Li and Carlos Mena‐Hurtado and has published in prestigious journals such as The Journal of Physical Chemistry, Journal of Clinical Epidemiology and Journal of the American Geriatrics Society.

In The Last Decade

Co-authorship network of co-authors of Can Meng i

Fields of papers citing papers by Can Meng

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

Countries citing papers authored by Can Meng

Since Specialization
Citations

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

Rankless by CCL
2025