Guolin Ke
About
Guolin Ke is a scholar working on Artificial Intelligence, Materials Chemistry and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Guolin Ke has authored 15 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Materials Chemistry and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guolin Ke’s work include Machine Learning in Materials Science (5 papers), Topic Modeling (3 papers) and Machine Learning and Data Classification (3 papers). Guolin Ke is often cited by papers focused on Machine Learning in Materials Science (5 papers), Topic Modeling (3 papers) and Machine Learning and Data Classification (3 papers). Guolin Ke collaborates with scholars based in China, United States and United Kingdom. Guolin Ke's co-authors include Tie‐Yan Liu, Di He, Qi Meng, Jiapeng Liu and Linfeng Zhang and has published in prestigious journals such as Nature Communications, Nano Letters and Advanced Science.
In The Last Decade
Fields of papers citing papers by Guolin Ke
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 Guolin Ke. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Guolin Ke may publish in the future.
Countries citing papers authored by Guolin Ke
Since SpecializationCitations
This map shows the geographic impact of Guolin Ke'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 Guolin Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guolin Ke more than expected).
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