Linli Xu

102 total papers · 3.5k total citations
62 papers, 2.2k citations indexed

About

Linli Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Linli Xu has authored 62 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Mechanics. Recurrent topics in Linli Xu's work include Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Sparse and Compressive Sensing Techniques (8 papers). Linli Xu is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Sparse and Compressive Sensing Techniques (8 papers). Linli Xu collaborates with scholars based in China, Canada and United States. Linli Xu's co-authors include Enhong Chen, Junyuan Xie, Dale Schuurmans, James Neufeld, Junliang Guo, Koby Crammer, Wenye Li, Xu Tan, Tie‐Yan Liu and Tao Qin and has published in prestigious journals such as IEEE Access, Neurocomputing and Machine Learning.

In The Last Decade

Linli Xu

57 papers receiving 2.1k citations

Hit Papers

Image Denoising and Inpai... 2012 2026 2016 2021 2012 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Linli Xu 1.2k 1.0k 314 192 180 62 2.2k
Samuel Rota Bulò 2.0k 1.6× 1.2k 1.1× 224 0.7× 178 0.9× 74 0.4× 79 3.1k
Tapani Raiko 1.2k 1.0× 1.5k 1.5× 119 0.4× 351 1.8× 182 1.0× 61 3.2k
Ethem Alpaydın 1.3k 1.1× 1.6k 1.6× 265 0.8× 296 1.5× 180 1.0× 81 3.2k
Ming Yang 1.2k 1.0× 486 0.5× 304 1.0× 118 0.6× 63 0.3× 100 2.0k
Zhenguo Li 2.0k 1.7× 1.4k 1.4× 308 1.0× 151 0.8× 278 1.5× 125 3.1k
Minnan Luo 991 0.8× 1.5k 1.5× 135 0.4× 170 0.9× 375 2.1× 95 2.4k
Marius Kloft 990 0.8× 1.7k 1.7× 180 0.6× 324 1.7× 152 0.8× 85 2.9k
Yu‐Jin Zhang 1.7k 1.4× 558 0.6× 393 1.3× 237 1.2× 119 0.7× 142 2.6k
Miaomiao Li 1.7k 1.4× 1.4k 1.4× 398 1.3× 135 0.7× 122 0.7× 72 2.5k
Ali Rahimi 1.0k 0.8× 1.4k 1.4× 88 0.3× 243 1.3× 69 0.4× 37 2.6k

Countries citing papers authored by Linli Xu

Since Specialization
Citations

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

Fields of papers citing papers by Linli Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linli Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Linli Xu. A scholar is included among the top collaborators of Linli Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linli Xu. Linli Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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