Lingyun Bi

11 papers and 210 indexed citations i.

About

Lingyun Bi is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Lingyun Bi has authored 11 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Lingyun Bi’s work include Advanced Neural Network Applications (9 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Lingyun Bi is often cited by papers focused on Advanced Neural Network Applications (9 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Lingyun Bi collaborates with scholars based in China and Canada. Lingyun Bi's co-authors include Haitong Lou, Xuehu Duan, Haiying Liu, Haonan Chen, Jason Gu, Junmei Guo, Haiying Liu, Hongyu Zhang, Hongquan Li and Jingxue Bi and has published in prestigious journals such as Scientific Reports, Sensors and Measurement Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Lingyun Bi i

Fields of papers citing papers by Lingyun Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingyun Bi

Since Specialization
Citations

This map shows the geographic impact of Lingyun Bi'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 Lingyun Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyun Bi 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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2025