Lanyu Xu

36 total papers · 7.8k total citations
16 papers, 5.3k citations indexed

About

Lanyu Xu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Lanyu Xu has authored 16 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Lanyu Xu's work include IoT and Edge/Fog Computing (6 papers), Context-Aware Activity Recognition Systems (4 papers) and Advanced Neural Network Applications (3 papers). Lanyu Xu is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Context-Aware Activity Recognition Systems (4 papers) and Advanced Neural Network Applications (3 papers). Lanyu Xu collaborates with scholars based in United States and China. Lanyu Xu's co-authors include Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, Sidi Lu, Liangkai Liu, Yifan Wang, Xingzhou Zhang, Ning Wen and Jing Cai and has published in prestigious journals such as Physics in Medicine and Biology, Neurocomputing and IEEE Internet of Things Journal.

In The Last Decade

Lanyu Xu

14 papers receiving 5.1k citations

Hit Papers

Edge Computing: Vision an... 2016 2026 2019 2022 2016 1000 2.0k 3.0k 4.0k 5.0k

Author Peers

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

Author Last Decade Papers Cites
Lanyu Xu 3.6k 1.7k 1.3k 1.1k 1.0k 16 5.3k
Jie Cao 3.6k 1.0× 1.7k 1.0× 1.3k 1.0× 1.1k 1.0× 983 1.0× 10 5.2k
Youhuizi Li 4.0k 1.1× 2.0k 1.2× 1.6k 1.2× 1.1k 1.0× 1.2k 1.2× 43 5.9k
Rodolfo Milito 3.9k 1.1× 1.6k 1.0× 1.3k 0.9× 1.0k 0.9× 596 0.6× 30 4.7k
Flavio Bonomi 4.7k 1.3× 1.7k 1.0× 1.6k 1.2× 1.0k 1.0× 692 0.7× 45 5.5k
Mohammed Aledhari 4.1k 1.2× 1.6k 0.9× 2.5k 1.9× 749 0.7× 1.2k 1.1× 24 6.4k
Sateesh Addepalli 4.0k 1.1× 1.6k 0.9× 1.6k 1.2× 972 0.9× 633 0.6× 47 5.0k
Mehdi Mohammadi 4.1k 1.2× 1.3k 0.8× 2.7k 2.0× 780 0.7× 869 0.8× 35 6.4k
Angelo Castellani 2.9k 0.8× 763 0.5× 2.1k 1.5× 679 0.6× 461 0.5× 17 5.0k
Sabrina Sicari 3.4k 0.9× 1.6k 0.9× 953 0.7× 669 0.6× 861 0.8× 72 4.9k
Jiang Zhu 3.8k 1.1× 1.6k 0.9× 1.3k 1.0× 1.9k 1.7× 794 0.8× 82 5.7k

Countries citing papers authored by Lanyu Xu

Since Specialization
Citations

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

Fields of papers citing papers by Lanyu Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanyu Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Lanyu Xu. A scholar is included among the top collaborators of Lanyu 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 Lanyu Xu. Lanyu 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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2026