Tianle Cai
About
Tianle Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Tianle Cai has authored 5 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tianle Cai’s work include Topic Modeling (2 papers), Machine Learning and Algorithms (1 paper) and Advanced Graph Neural Networks (1 paper). Tianle Cai is often cited by papers focused on Topic Modeling (2 papers), Machine Learning and Algorithms (1 paper) and Advanced Graph Neural Networks (1 paper). Tianle Cai collaborates with scholars based in China and United States. Tianle Cai's co-authors include Cangtao Zhou, Di He, Shengjie Luo, Yanming Shen and Kai Li and has published in prestigious journals such as Chaos An Interdisciplinary Journal of Nonlinear Science.
In The Last Decade
Fields of papers citing papers by Tianle Cai
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 Tianle Cai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tianle Cai may publish in the future.
Countries citing papers authored by Tianle Cai
Since SpecializationCitations
This map shows the geographic impact of Tianle Cai'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 Tianle Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianle Cai more than expected).
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