Gang Yang

62 papers and 1.7k indexed citations i.

About

Gang Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gang Yang has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gang Yang’s work include Multimodal Machine Learning Applications (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Neural Networks and Applications (8 papers). Gang Yang is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Neural Networks and Applications (8 papers). Gang Yang collaborates with scholars based in China, Japan and United States. Gang Yang's co-authors include Gongguo Tang, Thomas S. Huang, Xirong Li, Chaoxi Xu, Yiyun Zhu, Guochen Sang, Shangce Gao, Jianfeng Dong, Haobo Zhang and Xun Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Gang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang Yang. 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 Gang Yang. The network helps show where Gang Yang may publish in the future.

Countries citing papers authored by Gang Yang

Since Specialization
Citations

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

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