Ke Tang

238 papers and 7.5k indexed citations i.

About

Ke Tang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ke Tang has authored 238 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Artificial Intelligence, 71 papers in Computational Theory and Mathematics and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ke Tang’s work include Metaheuristic Optimization Algorithms Research (86 papers), Advanced Multi-Objective Optimization Algorithms (65 papers) and Evolutionary Algorithms and Applications (60 papers). Ke Tang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (86 papers), Advanced Multi-Objective Optimization Algorithms (65 papers) and Evolutionary Algorithms and Applications (60 papers). Ke Tang collaborates with scholars based in China, United Kingdom and United States. Ke Tang's co-authors include Xin Yao, Zhenyu Yang, Jinlong Li, Bingdong Li, Yi Mei, Peng Yang, Aleš Leonardis, Peter Tiño, Xiaodong Li and Thomas Weise and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Finance.

In The Last Decade

Co-authorship network of co-authors of Ke Tang i

Fields of papers citing papers by Ke Tang

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

Countries citing papers authored by Ke Tang

Since Specialization
Citations

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

Rankless by CCL
2025