Da Li

27 papers and 287 indexed citations i.

About

Da Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Da Li has authored 27 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Da Li’s work include Video Surveillance and Tracking Methods (9 papers), Infrared Target Detection Methodologies (7 papers) and Image Retrieval and Classification Techniques (3 papers). Da Li is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Infrared Target Detection Methodologies (7 papers) and Image Retrieval and Classification Techniques (3 papers). Da Li collaborates with scholars based in China, United States and Hong Kong. Da Li's co-authors include Xu Li, Timothy M. Hospedales, Min‐You Wu, Wei Shu, Yongxin Yang, Tao Xiang, Hongyu Huang, Jianping Li, Yubo Yuan and Minglu Li and has published in prestigious journals such as Applied Energy, Optics Express and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Da Li i

Fields of papers citing papers by Da Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Da Li

Since Specialization
Citations

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