Ruizhou Ding

10 papers and 243 indexed citations i.

About

Ruizhou Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ruizhou Ding has authored 10 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Ruizhou Ding’s work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Data Classification (4 papers). Ruizhou Ding is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Data Classification (4 papers). Ruizhou Ding collaborates with scholars based in United States and China. Ruizhou Ding's co-authors include Diana Marculescu, Ting-Wu Chin, R.D. Blanton, Cha Zhang and Dimitrios Stamoulis and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, ACM Transactions on Embedded Computing Systems and ACM Transactions on Reconfigurable Technology and Systems.

In The Last Decade

Fields of papers citing papers by Ruizhou Ding

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

Countries citing papers authored by Ruizhou Ding

Since Specialization
Citations

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

Rankless by CCL
2025