Bin Gu

84 papers and 1.4k indexed citations i.

About

Bin Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Bin Gu has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Mechanics. Recurrent topics in Bin Gu’s work include Machine Learning and ELM (28 papers), Face and Expression Recognition (27 papers) and Domain Adaptation and Few-Shot Learning (13 papers). Bin Gu is often cited by papers focused on Machine Learning and ELM (28 papers), Face and Expression Recognition (27 papers) and Domain Adaptation and Few-Shot Learning (13 papers). Bin Gu collaborates with scholars based in China, United States and United Arab Emirates. Bin Gu's co-authors include Victor S. Sheng, Walter Romano, Shuo Li, Keng Yeow Tay, Xingming Sun, Heng Huang, Zhouyuan Huo, Zhiyong Gao, Charles X. Ling and Cheng Deng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Climate and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Bin Gu i

Fields of papers citing papers by Bin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bin Gu

Since Specialization
Citations

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