Lianli Gao

151 papers and 4.5k indexed citations i.

About

Lianli Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lianli Gao has authored 151 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Computer Vision and Pattern Recognition, 68 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Lianli Gao’s work include Multimodal Machine Learning Applications (79 papers), Advanced Image and Video Retrieval Techniques (66 papers) and Human Pose and Action Recognition (42 papers). Lianli Gao is often cited by papers focused on Multimodal Machine Learning Applications (79 papers), Advanced Image and Video Retrieval Techniques (66 papers) and Human Pose and Action Recognition (42 papers). Lianli Gao collaborates with scholars based in China, Australia and United States. Lianli Gao's co-authors include Jingkuan Song, Heng Tao Shen, Xing Xu, Xuanhan Wang, Xiangpeng Li, Hanwang Zhang, Zhao Guo, Nicu Sebe, Xianglong Liu and Peng Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Lianli Gao i

Fields of papers citing papers by Lianli Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lianli Gao

Since Specialization
Citations

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