Cao Gao

4 papers and 462 indexed citations i.

About

Cao Gao is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Cao Gao has authored 4 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Electrical and Electronic Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in Cao Gao’s work include Advanced Neural Network Applications (3 papers), Advanced Memory and Neural Computing (3 papers) and IoT and Edge/Fog Computing (3 papers). Cao Gao is often cited by papers focused on Advanced Neural Network Applications (3 papers), Advanced Memory and Neural Computing (3 papers) and IoT and Edge/Fog Computing (3 papers). Cao Gao collaborates with scholars based in United States. Cao Gao's co-authors include Trevor Mudge, Austin Rovinski, Yiping Kang, Johann Hauswald, Lingjia Tang, Jason Mars, Suyoung Bang, Jingcheng Wang, Yejoong Kim and Yen‐Po Chen and has published in prestigious journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review and 2022 IEEE International Solid- State Circuits Conference (ISSCC).

In The Last Decade

Co-authorship network of co-authors of Cao Gao i

Fields of papers citing papers by Cao Gao

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

Countries citing papers authored by Cao Gao

Since Specialization
Citations

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

Rankless by CCL
2025