Jiao Dai

49 papers and 318 indexed citations i.

About

Jiao Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Jiao Dai has authored 49 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Materials Chemistry. Recurrent topics in Jiao Dai’s work include Generative Adversarial Networks and Image Synthesis (11 papers), Face recognition and analysis (9 papers) and Digital Media Forensic Detection (6 papers). Jiao Dai is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (11 papers), Face recognition and analysis (9 papers) and Digital Media Forensic Detection (6 papers). Jiao Dai collaborates with scholars based in China, Poland and United States. Jiao Dai's co-authors include Jizhong Han, Zhisheng Gao, Gang Wu, Shitong Hou, Bin Dong, Haochen Wang, Si Liu, Jin Liu, Ying Xu and Fang Chen and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Materials Chemistry A and Physics Letters A.

In The Last Decade

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

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

Countries citing papers authored by Jiao Dai

Since Specialization
Citations

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

Rankless by CCL
2025