Jack Yang
About
Jack Yang is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering.
According to data from OpenAlex, Jack Yang has authored 163 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 49 papers in Materials Chemistry and 41 papers in Electrical and Electronic Engineering. Recurrent topics in Jack Yang’s work include Machine Learning in Bioinformatics (23 papers), Gene expression and cancer classification (22 papers) and Electrocatalysts for Energy Conversion (18 papers). Jack Yang is often cited by papers focused on Machine Learning in Bioinformatics (23 papers), Gene expression and cancer classification (22 papers) and Electrocatalysts for Energy Conversion (18 papers). Jack Yang collaborates with scholars based in United States, China and Australia. Jack Yang's co-authors include Mary Qu Yang, Sean Li, Youping Deng, Wenxian Li and Riyue Ge and has published in prestigious journals such as Advanced Materials, ACS Nano and Applied Physics Letters.
In The Last Decade
Fields of papers citing papers by Jack Yang
Since SpecializationEngineeringComputer 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 Jack Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jack Yang may publish in the future.
Countries citing papers authored by Jack Yang
Since SpecializationCitations
This map shows the geographic impact of Jack Yang'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 Jack Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Yang more than expected).
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