Ge Yang

35 papers and 402 indexed citations i.

About

Ge Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ge Yang has authored 35 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Ge Yang’s work include Industrial Vision Systems and Defect Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Neural Network Applications (4 papers). Ge Yang is often cited by papers focused on Industrial Vision Systems and Defect Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Neural Network Applications (4 papers). Ge Yang collaborates with scholars based in China, United States and Australia. Ge Yang's co-authors include Jay Lin, Alpesh Amin, Gagan Agrawal, Ruoming Jin, Bradley J. Nelson, J. A. Gaines, Liang‐Shih Fan, Runwei Ding, Yu Zhao and Shaowei Wang and has published in prestigious journals such as American Journal of Epidemiology, IEEE Transactions on Industrial Electronics and Energy.

In The Last Decade

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

Fields of papers citing papers by Ge Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ge Yang

Since Specialization
Citations

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