Meng Xu

73 total papers · 1.2k total citations
46 papers, 804 citations indexed

About

Meng Xu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Meng Xu has authored 46 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in Meng Xu's work include EEG and Brain-Computer Interfaces (9 papers), Video Coding and Compression Technologies (9 papers) and Advanced Malware Detection Techniques (9 papers). Meng Xu is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Video Coding and Compression Technologies (9 papers) and Advanced Malware Detection Techniques (9 papers). Meng Xu collaborates with scholars based in China, United States and Germany. Meng Xu's co-authors include Taesoo Kim, Zhan Ma, Yeongjin Jang, Insu Yun, Sang-Ho Lee, Yao Wang, Wenke Lee, Ruian Duan, Kangjie Lu and Yen-Fu Ou and has published in prestigious journals such as Langmuir, IEEE Transactions on Image Processing and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Meng Xu

44 papers receiving 780 citations

Author Peers

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

Author Last Decade Papers Cites
Meng Xu 465 232 219 218 166 46 804
Wenrui Diao 538 1.2× 141 0.6× 395 1.8× 299 1.4× 75 0.5× 36 761
Xin Qi 174 0.4× 250 1.1× 413 1.9× 209 1.0× 128 0.8× 55 890
Zan Wang 117 0.3× 327 1.4× 331 1.5× 494 2.3× 129 0.8× 56 961
Manjari Gupta 96 0.2× 142 0.6× 249 1.1× 293 1.3× 99 0.6× 68 760
Tachio Terauchi 135 0.3× 158 0.7× 172 0.8× 538 2.5× 257 1.5× 38 934
Vittoria Nardone 322 0.7× 175 0.8× 222 1.0× 229 1.1× 90 0.5× 45 750
Alberto Bartoli 169 0.4× 82 0.4× 309 1.4× 434 2.0× 77 0.5× 104 958
Kevin Moran 254 0.5× 314 1.4× 400 1.8× 119 0.5× 91 0.5× 39 702
Justin Cappos 234 0.5× 110 0.5× 502 2.3× 254 1.2× 49 0.3× 71 920
Yifei Wang 191 0.4× 74 0.3× 158 0.7× 332 1.5× 71 0.4× 30 770

Countries citing papers authored by Meng Xu

Since Specialization
Citations

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

Fields of papers citing papers by Meng Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Xu

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