Chun‐Na Li
About
Chun‐Na Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering.
According to data from OpenAlex, Chun‐Na Li has authored 66 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 18 papers in Control and Systems Engineering. Recurrent topics in Chun‐Na Li’s work include Face and Expression Recognition (51 papers), Machine Learning and ELM (18 papers) and Sparse and Compressive Sensing Techniques (15 papers). Chun‐Na Li is often cited by papers focused on Face and Expression Recognition (51 papers), Machine Learning and ELM (18 papers) and Sparse and Compressive Sensing Techniques (15 papers). Chun‐Na Li collaborates with scholars based in China, Australia and United States. Chun‐Na Li's co-authors include Yuan‐Hai Shao, Nai-Yang Deng, Wei-Jie Chen and Yanru Guo and has published in prestigious journals such as IEEE Access, Information Sciences and Pattern Recognition.
In The Last Decade
Fields of papers citing papers by Chun‐Na 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 Chun‐Na Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chun‐Na Li may publish in the future.
Countries citing papers authored by Chun‐Na Li
Since SpecializationCitations
This map shows the geographic impact of Chun‐Na 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 Chun‐Na Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Na Li more than expected).
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