Yeqi Bai

About

Yeqi Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Yeqi Bai has authored 6 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Yeqi Bai’s work include COVID-19 diagnosis using AI (1 paper), Advanced Graph Neural Networks (1 paper) and Face recognition and analysis (1 paper). Yeqi Bai is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Advanced Graph Neural Networks (1 paper) and Face recognition and analysis (1 paper). Yeqi Bai collaborates with scholars based in Singapore, China and Hong Kong. Yeqi Bai's co-authors include Lipo Wang, Justin Ker, Jai Prashanth Rao, Hwei Yee Lee, Satya P. Singh, C. C. Tchoyoson Lim, Ping Li, Miao Fan, Mingming Sun and Tao Ma and has published in prestigious journals such as Sensors, Journal of Clinical Neuroscience and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

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

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Fields of papers citing papers by Yeqi Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yeqi Bai

Since Specialization

Citations

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