Gen Li

About

Gen Li is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Gen Li has authored 39 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Statistics and Probability and 9 papers in Artificial Intelligence. Recurrent topics in Gen Li’s work include Statistical Methods and Inference (10 papers), Gene expression and cancer classification (6 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Gen Li is often cited by papers focused on Statistical Methods and Inference (10 papers), Gene expression and cancer classification (6 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Gen Li collaborates with scholars based in United States, Hong Kong and Canada. Gen Li's co-authors include Kun Chen, Haipeng Shen, Andrew B. Nobel, Kimberly L. Cooper and Fred A. Wright and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Bone and Joint Surgery.

In The Last Decade

Fields of papers citing papers by Gen Li

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

Countries citing papers authored by Gen Li

Since Specialization

Citations

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

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