Lei Bai

85 papers and 1.1k indexed citations
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About

Lei Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Building and Construction. According to data from OpenAlex, Lei Bai has authored 85 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 14 papers in Building and Construction. Recurrent topics in Lei Bai’s work include Traffic Prediction and Management Techniques (13 papers), Human Mobility and Location-Based Analysis (9 papers) and Meteorological Phenomena and Simulations (8 papers). Lei Bai is often cited by papers focused on Traffic Prediction and Management Techniques (13 papers), Human Mobility and Location-Based Analysis (9 papers) and Meteorological Phenomena and Simulations (8 papers). Lei Bai collaborates with scholars based in China, Australia and Hong Kong. Lei Bai's co-authors include Wanli Ouyang, Liu Yang, Richard de Dear, Salvatore Carlucci, Lina Yao, Can Li, Zhe Wang, Xiao Song, S. Travis Waller and Wei Liu and has published in prestigious journals such as Nature Communications, Blood and Journal of The Electrochemical Society.

In The Last Decade

Co-authorship network of co-authors of Lei Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Bai. A scholar is included among the top collaborators of Lei Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Bai. Lei Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Lei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Bai

Since Specialization
Citations

This map shows the geographic impact of Lei 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 Lei Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei 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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2026