Bin Dai

11 papers and 91 indexed citations i.

About

Bin Dai is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Bin Dai has authored 11 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomedical Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Bin Dai’s work include Generative Adversarial Networks and Image Synthesis (3 papers), Drilling and Well Engineering (1 paper) and Chemical Mechanical Polishing in Microelectronics Manufacturing (1 paper). Bin Dai is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Drilling and Well Engineering (1 paper) and Chemical Mechanical Polishing in Microelectronics Manufacturing (1 paper). Bin Dai collaborates with scholars based in United States, China and United Kingdom. Bin Dai's co-authors include David Wipf, Chen Zhu, Baining Guo, Gang Hua, John A. D. Aston, Yu Wang, Michael L. Myrick, Yu Wang, Huadong Yu and Jinkai Xu and has published in prestigious journals such as Sensors, Journal of Machine Learning Research and Ceramics International.

In The Last Decade

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

Fields of papers citing papers by Bin 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 Bin Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bin Dai may publish in the future.

Countries citing papers authored by Bin Dai

Since Specialization
Citations

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

Rankless by CCL
2025