Yang Gao

206 papers and 4.6k indexed citations i.

About

Yang Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yang Gao has authored 206 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computer Vision and Pattern Recognition, 94 papers in Artificial Intelligence and 20 papers in Biomedical Engineering. Recurrent topics in Yang Gao’s work include Advanced Neural Network Applications (39 papers), Domain Adaptation and Few-Shot Learning (26 papers) and Multimodal Machine Learning Applications (24 papers). Yang Gao is often cited by papers focused on Advanced Neural Network Applications (39 papers), Domain Adaptation and Few-Shot Learning (26 papers) and Multimodal Machine Learning Applications (24 papers). Yang Gao collaborates with scholars based in China, United States and Australia. Yang Gao's co-authors include Yinghuan Shi, Jing Huo, Lei Qi, Lei Wang, Guido Gerig, Wenbin Li, Paul A. Yushkevich, Jiebo Luo, Jinglin Xu and Dinggang Shen and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Computational Physics.

In The Last Decade

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

Fields of papers citing papers by Yang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang Gao. The network helps show where Yang Gao may publish in the future.

Countries citing papers authored by Yang Gao

Since Specialization
Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025