Lusann Yang
About
Lusann Yang is a scholar working on Materials Chemistry, Artificial Intelligence and Geophysics.
According to data from OpenAlex, Lusann Yang has authored 5 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Materials Chemistry, 1 paper in Artificial Intelligence and 1 paper in Geophysics. Recurrent topics in Lusann Yang’s work include Machine Learning in Materials Science (3 papers), X-ray Diffraction in Crystallography (2 papers) and Statistical Methods and Inference (1 paper). Lusann Yang is often cited by papers focused on Machine Learning in Materials Science (3 papers), X-ray Diffraction in Crystallography (2 papers) and Statistical Methods and Inference (1 paper). Lusann Yang collaborates with scholars based in United States. Lusann Yang's co-authors include Gerbrand Ceder, Patrick Riley, Stephen Dacek, Lan Zhou and Samuel Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Physical Review B.
In The Last Decade
Fields of papers citing papers by Lusann 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 Lusann Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lusann Yang may publish in the future.
Countries citing papers authored by Lusann Yang
Since SpecializationCitations
This map shows the geographic impact of Lusann 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 Lusann Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lusann Yang more than expected).
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