Bin Dai

132 papers and 1.6k indexed citations i.

About

Bin Dai is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Bin Dai has authored 132 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 31 papers in Automotive Engineering and 24 papers in Aerospace Engineering. Recurrent topics in Bin Dai’s work include Autonomous Vehicle Technology and Safety (28 papers), Robotics and Sensor-Based Localization (23 papers) and Advanced Neural Network Applications (15 papers). Bin Dai is often cited by papers focused on Autonomous Vehicle Technology and Safety (28 papers), Robotics and Sensor-Based Localization (23 papers) and Advanced Neural Network Applications (15 papers). Bin Dai collaborates with scholars based in China, United States and Australia. Bin Dai's co-authors include Daxue Liu, Liang Xiao, Tao Wu, Ruili Wang, Tongtong Chen, Xin Xu, Yiming Nie, Shilin Ding, Grace Wahba and Yuqiang Fang and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Technometrics.

In The Last Decade

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

Fields of papers citing papers by Bin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bin Dai

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025