Fang Dai

23 papers and 301 indexed citations i.

About

Fang Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Fang Dai has authored 23 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Fang Dai’s work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Algorithms and Applications (4 papers) and Image and Signal Denoising Methods (4 papers). Fang Dai is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Advanced Algorithms and Applications (4 papers) and Image and Signal Denoising Methods (4 papers). Fang Dai collaborates with scholars based in China. Fang Dai's co-authors include Peng Xu, Ting Liu, Wenyan Guo, Rong Zhao, Yuan Wang, Jianru Xue, Nanning Zheng, Ting Liu, Peng Xu and Xuanqin Mou and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Applied Soft Computing and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Fang Dai i

Fields of papers citing papers by Fang Dai

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

Countries citing papers authored by Fang Dai

Since Specialization
Citations

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

Rankless by CCL
2025