Shanghua Gao

14 papers and 2.3k indexed citations i.

About

Shanghua Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shanghua Gao has authored 14 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Shanghua Gao’s work include Advanced Neural Network Applications (7 papers), Visual Attention and Saliency Detection (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Shanghua Gao is often cited by papers focused on Advanced Neural Network Applications (7 papers), Visual Attention and Saliency Detection (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Shanghua Gao collaborates with scholars based in China, United Kingdom and United States. Shanghua Gao's co-authors include Ming‐Ming Cheng, Kai Zhao, Philip H. S. Torr, Ming–Hsuan Yang, Xinyu Zhang, Jun Xu, Yu-Huan Wu, Deng-Ping Fan, Jie Mei and Rongguo Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Advanced Science.

In The Last Decade

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

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

Countries citing papers authored by Shanghua Gao

Since Specialization
Citations

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

Rankless by CCL
2025