Changliang Li

About

Changliang Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Changliang Li has authored 23 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Changliang Li’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (7 papers) and Sentiment Analysis and Opinion Mining (5 papers). Changliang Li is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (7 papers) and Sentiment Analysis and Opinion Mining (5 papers). Changliang Li collaborates with scholars based in China, Japan and United States. Changliang Li's co-authors include Tong Xiao, Xiao Sun, Zhijun Wu and Shuai Nie and has published in prestigious journals such as Sensors, IEEE Access and Composites Part B Engineering.

In The Last Decade

Fields of papers citing papers by Changliang Li

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

Countries citing papers authored by Changliang Li

Since Specialization

Citations

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

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