Lingli Yu

About

Lingli Yu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Lingli Yu has authored 51 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 13 papers in Automotive Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Lingli Yu’s work include Robotic Path Planning Algorithms (11 papers), Autonomous Vehicle Technology and Safety (10 papers) and Visual Attention and Saliency Detection (6 papers). Lingli Yu is often cited by papers focused on Robotic Path Planning Algorithms (11 papers), Autonomous Vehicle Technology and Safety (10 papers) and Visual Attention and Saliency Detection (6 papers). Lingli Yu collaborates with scholars based in China and United States. Lingli Yu's co-authors include Kaijun Zhou, Yuqian Zhao, Xiao‐Xin Yan, Fan Zhang, Chunhua Yang, Biao Luo, Zixing Cai, Yuqian Zhao, Xiaoyang Xiao and Miao Liao and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Lingli Yu i

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Fields of papers citing papers by Lingli Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingli Yu

Since Specialization

Citations

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