Dianhuan Lin
About
Dianhuan Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering.
According to data from OpenAlex, Dianhuan Lin has authored 3 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Dianhuan Lin’s work include Machine Learning and Algorithms (2 papers), Topic Modeling (1 paper) and Logic, Reasoning, and Knowledge (1 paper). Dianhuan Lin is often cited by papers focused on Machine Learning and Algorithms (2 papers), Topic Modeling (1 paper) and Logic, Reasoning, and Knowledge (1 paper). Dianhuan Lin collaborates with scholars based in United Kingdom. Dianhuan Lin's co-authors include Stephen Muggleton, Alireza Tamaddoni‐Nezhad, Miguel Lázaro-Gredilla, Dileep George and J. Swaroop Guntupalli and has published in prestigious journals such as Machine Learning and Science Robotics.
In The Last Decade
Fields of papers citing papers by Dianhuan Lin
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 Dianhuan Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dianhuan Lin may publish in the future.
Countries citing papers authored by Dianhuan Lin
Since SpecializationCitations
This map shows the geographic impact of Dianhuan Lin'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 Dianhuan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianhuan Lin more than expected).
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