Jin-Ge Yao
About
Jin-Ge Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering.
According to data from OpenAlex, Jin-Ge Yao has authored 17 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Biomedical Engineering. Recurrent topics in Jin-Ge Yao’s work include Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Advanced Text Analysis Techniques (6 papers). Jin-Ge Yao is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Advanced Text Analysis Techniques (6 papers). Jin-Ge Yao collaborates with scholars based in China, United Kingdom and United States. Jin-Ge Yao's co-authors include Xiaojun Wan, Jianguo Xiao, Chin-Yew Lin, Jinpeng Wang and Rong Pan and has published in prestigious journals such as Knowledge and Information Systems and Journal of Web Semantics.
In The Last Decade
Fields of papers citing papers by Jin-Ge Yao
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 Jin-Ge Yao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jin-Ge Yao may publish in the future.
Countries citing papers authored by Jin-Ge Yao
Since SpecializationCitations
This map shows the geographic impact of Jin-Ge Yao'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 Jin-Ge Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Ge Yao more than expected).
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