Mengyue Wu

155 total papers · 1.1k total citations
65 papers, 459 citations indexed

About

Mengyue Wu is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mengyue Wu has authored 65 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Signal Processing, 28 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mengyue Wu's work include Music and Audio Processing (27 papers), Speech and Audio Processing (20 papers) and Speech Recognition and Synthesis (16 papers). Mengyue Wu is often cited by papers focused on Music and Audio Processing (27 papers), Speech and Audio Processing (20 papers) and Speech Recognition and Synthesis (16 papers). Mengyue Wu collaborates with scholars based in China, United States and United Kingdom. Mengyue Wu's co-authors include Kai Yu, Heinrich Dinkel, Xia Liu, Hong Zheng, Zeyu Xie, Kenny Q. Zhu, Siyuan Chen, Zhiling Zhang, Wen Wu and Rong Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Biochemical and Biophysical Research Communications.

In The Last Decade

Mengyue Wu

59 papers receiving 450 citations

Author Peers

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

Author Last Decade Papers Cites
Mengyue Wu 184 154 113 51 46 65 459
Chao Zhang 21 0.1× 88 0.6× 66 0.6× 26 0.5× 33 0.7× 64 424
Jia-Lin Shen 208 1.1× 212 1.4× 93 0.8× 29 0.6× 32 0.7× 39 521
Weirong Chen 60 0.3× 124 0.8× 33 0.3× 16 0.3× 64 1.4× 63 548
Yi Guo 36 0.2× 42 0.3× 67 0.6× 25 0.5× 26 0.6× 37 487
Jianyu Dong 40 0.2× 58 0.4× 76 0.7× 12 0.2× 87 1.9× 40 475
Amparo Varona 286 1.6× 430 2.8× 23 0.2× 3 0.1× 18 0.4× 78 520
Ying Xiao 95 0.5× 189 1.2× 97 0.9× 24 0.5× 53 1.2× 40 443
Ning Ma 19 0.1× 154 1.0× 209 1.8× 46 0.9× 6 0.1× 40 520
Jiyi Li 31 0.2× 217 1.4× 49 0.4× 13 0.3× 3 0.1× 60 459
Minglei Li 68 0.4× 289 1.9× 52 0.5× 8 0.2× 4 0.1× 40 490

Countries citing papers authored by Mengyue Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mengyue Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengyue Wu

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