Yuan Wu

164 total papers · 5.4k total citations
119 papers, 4.2k citations indexed

About

Yuan Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Yuan Wu has authored 119 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Electrical and Electronic Engineering, 63 papers in Computer Networks and Communications and 12 papers in Control and Systems Engineering. Recurrent topics in Yuan Wu's work include Advanced MIMO Systems Optimization (50 papers), Advanced Wireless Communication Technologies (28 papers) and Cooperative Communication and Network Coding (21 papers). Yuan Wu is often cited by papers focused on Advanced MIMO Systems Optimization (50 papers), Advanced Wireless Communication Technologies (28 papers) and Cooperative Communication and Network Coding (21 papers). Yuan Wu collaborates with scholars based in China, Hong Kong and Canada. Yuan Wu's co-authors include Liping Qian, Danny H. K. Tsang, Xuemin Shen, Jianchao Zheng, Yueming Cai, Haibo Zhou, Cheng Zhang, Xiaoqi Tan, Jianwei Huang and Ying–Jun Angela Zhang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Communications Magazine and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Yuan Wu

113 papers receiving 4.1k citations

Hit Papers

Dynamic Computation Offlo... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Yuan Wu 3.0k 2.4k 543 510 458 119 4.2k
Liping Qian 3.1k 1.0× 2.6k 1.1× 329 0.6× 770 1.5× 454 1.0× 205 4.7k
Wei Wang 2.5k 0.8× 2.1k 0.9× 303 0.6× 490 1.0× 278 0.6× 238 3.9k
Catherine Rosenberg 3.3k 1.1× 3.7k 1.6× 437 0.8× 240 0.5× 213 0.5× 195 5.2k
Melike Erol‐Kantarci 4.0k 1.3× 2.3k 1.0× 1.4k 2.6× 329 0.6× 427 0.9× 215 5.6k
Suzhi Bi 4.1k 1.4× 3.0k 1.3× 646 1.2× 968 1.9× 489 1.1× 126 6.1k
Yan Zhang 2.5k 0.8× 3.2k 1.4× 374 0.7× 199 0.4× 990 2.2× 91 4.5k
Yulong Zou 4.6k 1.5× 3.1k 1.3× 368 0.7× 716 1.4× 190 0.4× 234 5.6k
Mohammad Hossein Anisi 1.5k 0.5× 1.6k 0.7× 206 0.4× 310 0.6× 271 0.6× 117 3.2k
Abderrezak Rachedi 1.4k 0.5× 1.6k 0.7× 335 0.6× 436 0.9× 302 0.7× 87 2.5k
Lei Lei 2.5k 0.8× 2.2k 0.9× 304 0.6× 212 0.4× 1.0k 2.2× 145 4.5k

Countries citing papers authored by Yuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Wu

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