Lu Bai

70 papers and 1.1k indexed citations i.

About

Lu Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Lu Bai has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Lu Bai’s work include Advanced Graph Neural Networks (28 papers), Face and Expression Recognition (10 papers) and Graph Theory and Algorithms (9 papers). Lu Bai is often cited by papers focused on Advanced Graph Neural Networks (28 papers), Face and Expression Recognition (10 papers) and Graph Theory and Algorithms (9 papers). Lu Bai collaborates with scholars based in China, United Kingdom and United States. Lu Bai's co-authors include Edwin R. Hancock, Lixin Cui, Zhihong Zhang, Luca Rossi, Xiao Bai, Jun Zhou, Lixiang Xu, Andrea Torsello, Ming Li and Qi Qiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Lu Bai i

Fields of papers citing papers by Lu Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lu Bai

Since Specialization
Citations

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