Li Xiao

171 total papers · 2.1k total citations
93 papers, 1.4k citations indexed

About

Li Xiao is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Li Xiao has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 20 papers in Artificial Intelligence and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Li Xiao's work include Functional Brain Connectivity Studies (22 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Sparse and Compressive Sensing Techniques (8 papers). Li Xiao is often cited by papers focused on Functional Brain Connectivity Studies (22 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Sparse and Compressive Sensing Techniques (8 papers). Li Xiao collaborates with scholars based in China, United States and France. Li Xiao's co-authors include Xianhua Tang, Xiang‐Gen Xia, Yu‐Ping Wang, Vince D. Calhoun, Tony W. Wilson, Julia M. Stephen, Zhu‐Hong You, Tonghai Jiang, Xin Tong and Pieter Peers and has published in prestigious journals such as NeuroImage, Chemical Communications and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Li Xiao

88 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Li Xiao 268 250 238 189 163 93 1.4k
Lei Yuan 336 1.3× 116 0.5× 90 0.4× 192 1.0× 232 1.4× 78 1.5k
V. G. Sigillito 120 0.4× 147 0.6× 69 0.3× 95 0.5× 160 1.0× 59 1.3k
V. Protopopescu 67 0.3× 117 0.5× 273 1.1× 156 0.8× 72 0.4× 90 1.6k
Diana M. Sima 286 1.1× 117 0.5× 140 0.6× 200 1.1× 74 0.5× 106 1.7k
Haomin Zhou 497 1.9× 115 0.5× 43 0.2× 42 0.2× 299 1.8× 89 1.8k
Michele Pavon 97 0.4× 196 0.8× 30 0.1× 82 0.4× 92 0.6× 86 1.5k
Luc Florack 1.2k 4.3× 81 0.3× 120 0.5× 38 0.2× 132 0.8× 102 1.8k
Nickolay T. Trendafilov 211 0.8× 66 0.3× 32 0.1× 145 0.8× 251 1.5× 52 1.2k
Felix Abramovich 569 2.1× 177 0.7× 42 0.2× 67 0.4× 140 0.9× 28 1.3k
Philippe Tchamitchian 411 1.5× 435 1.7× 81 0.3× 30 0.2× 54 0.3× 29 1.3k

Countries citing papers authored by Li Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Li Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Li Xiao. A scholar is included among the top collaborators of Li Xiao 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 Li Xiao. Li Xiao 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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