Yong–Lu Li

25 papers and 725 indexed citations i.

About

Yong–Lu Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Yong–Lu Li has authored 25 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Yong–Lu Li’s work include Multimodal Machine Learning Applications (15 papers), Human Pose and Action Recognition (12 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Yong–Lu Li is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Human Pose and Action Recognition (12 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Yong–Lu Li collaborates with scholars based in China, Hong Kong and United States. Yong–Lu Li's co-authors include Cewu Lu, Hao-Shu Fang, Xijie Huang, Jiefeng Li, Ze Ma, Cewu Lu, Haoyi Zhu, Hongyang Tang, Yuliang Xiu and Chao Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Microporous and Mesoporous Materials.

In The Last Decade

Co-authorship network of co-authors of Yong–Lu Li i

Fields of papers citing papers by Yong–Lu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yong–Lu Li

Since Specialization
Citations

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