Jing Dai

About

Jing Dai is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jing Dai has authored 12 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 4 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jing Dai’s work include Video Analysis and Summarization (3 papers), Data Management and Algorithms (3 papers) and Peer-to-Peer Network Technologies (3 papers). Jing Dai is often cited by papers focused on Video Analysis and Summarization (3 papers), Data Management and Algorithms (3 papers) and Peer-to-Peer Network Technologies (3 papers). Jing Dai collaborates with scholars based in United States, China and Hong Kong. Jing Dai's co-authors include Chang‐Tien Lu, Arnold P. Boedihardjo, Xuchao Zhang, Zhiqian Chen and Yin Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Big Data.

In The Last Decade

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

Countries citing papers authored by Jing Dai

Since Specialization

Citations

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

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