Chao Lan

About

Chao Lan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Chao Lan has authored 25 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Chao Lan’s work include Face and Expression Recognition (9 papers), Machine Learning and Data Classification (4 papers) and Sparse and Compressive Sensing Techniques (4 papers). Chao Lan is often cited by papers focused on Face and Expression Recognition (9 papers), Machine Learning and Data Classification (4 papers) and Sparse and Compressive Sensing Techniques (4 papers). Chao Lan collaborates with scholars based in United States, China and Hong Kong. Chao Lan's co-authors include Xiao‐Yuan Jing, Jingyu Yang, Sheng Li, Jun Huan and David Zhang and has published in prestigious journals such as Sensors, Information Sciences and Pattern Recognition.

In The Last Decade

Fields of papers citing papers by Chao Lan

Since Specialization

EngineeringComputer 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 Chao Lan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chao Lan may publish in the future.

Countries citing papers authored by Chao Lan

Since Specialization

Citations

This map shows the geographic impact of Chao Lan'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 Chao Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Lan more than expected).

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