Mu Li
About
Mu Li is a scholar working on Artificial Intelligence, Numerical Analysis and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Mu Li has authored 11 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Numerical Analysis and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mu Li’s work include Neural Networks and Applications (2 papers), Evolutionary Algorithms and Applications (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Mu Li is often cited by papers focused on Neural Networks and Applications (2 papers), Evolutionary Algorithms and Applications (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Mu Li collaborates with scholars based in China, United Kingdom and Germany. Mu Li's co-authors include Shuangzhi Wu, Jie Jin, Indranil Gupta, Shuai Zheng and Haibin Lin and has published in prestigious journals such as Information Sciences, SIAM Journal on Scientific Computing and Nonlinear Dynamics.
In The Last Decade
Fields of papers citing papers by Mu Li
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 Mu Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mu Li may publish in the future.
Countries citing papers authored by Mu Li
Since SpecializationCitations
This map shows the geographic impact of Mu Li'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 Mu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu Li more than expected).
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