Di Liu
About
Di Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications.
According to data from OpenAlex, Di Liu has authored 152 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 44 papers in Artificial Intelligence and 26 papers in Computer Networks and Communications. Recurrent topics in Di Liu’s work include Advanced Neural Network Applications (30 papers), Adversarial Robustness in Machine Learning (12 papers) and IoT and Edge/Fog Computing (10 papers). Di Liu is often cited by papers focused on Advanced Neural Network Applications (30 papers), Adversarial Robustness in Machine Learning (12 papers) and IoT and Edge/Fog Computing (10 papers). Di Liu collaborates with scholars based in China, Singapore and United States. Di Liu's co-authors include Eric Vanden‐Eijnden, E Weinan, Weichen Liu, Mingxiong Zhao, Mansour Edraki, Yongjun Peng, Hao Kong, Wentao Li, Ravi Subramaniam and Fu-Yun Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Advanced Materials.
In The Last Decade
Co-authorship network of co-authors of Di Liu i
Fields of papers citing papers by Di Liu
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 Di Liu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Di Liu may publish in the future.
Countries citing papers authored by Di Liu
Since SpecializationCitations
This map shows the geographic impact of Di Liu'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 Di Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Liu more than expected).
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