Gai‐Ge Wang
About
Gai‐Ge Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Gai‐Ge Wang has authored 167 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Artificial Intelligence, 64 papers in Computational Theory and Mathematics and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gai‐Ge Wang’s work include Metaheuristic Optimization Algorithms Research (101 papers), Advanced Multi-Objective Optimization Algorithms (64 papers) and Evolutionary Algorithms and Applications (48 papers). Gai‐Ge Wang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (101 papers), Advanced Multi-Objective Optimization Algorithms (64 papers) and Evolutionary Algorithms and Applications (48 papers). Gai‐Ge Wang collaborates with scholars based in China, United States and Taiwan. Gai‐Ge Wang's co-authors include Amir H. Alavi, Amir H. Gandomi, Suash Deb, Hong Duan and Lihong Guo and has published in prestigious journals such as Chemical Engineering Journal, Applied Energy and IEEE Transactions on Geoscience and Remote Sensing.
In The Last Decade
Fields of papers citing papers by Gai‐Ge Wang
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 Gai‐Ge Wang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gai‐Ge Wang may publish in the future.
Countries citing papers authored by Gai‐Ge Wang
Since SpecializationCitations
This map shows the geographic impact of Gai‐Ge Wang'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 Gai‐Ge Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gai‐Ge Wang more than expected).
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