Minghu Wu

62 total papers · 1.1k total citations
38 papers, 822 citations indexed

About

Minghu Wu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Minghu Wu has authored 38 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Minghu Wu's work include Advanced Battery Technologies Research (8 papers), Fault Detection and Control Systems (7 papers) and Video Surveillance and Tracking Methods (5 papers). Minghu Wu is often cited by papers focused on Advanced Battery Technologies Research (8 papers), Fault Detection and Control Systems (7 papers) and Video Surveillance and Tracking Methods (5 papers). Minghu Wu collaborates with scholars based in China, Singapore and Spain. Minghu Wu's co-authors include Nan Zhao, Yiyang Pei, Dusit Niyato, Yunhao Jiang, Ying‐Chang Liang, Feng Ding, Ling Xu, Feifei Wang, Fan Zhang and Nan Zhao and has published in prestigious journals such as Journal of The Electrochemical Society, Organic Letters and IEEE Transactions on Wireless Communications.

In The Last Decade

Minghu Wu

35 papers receiving 798 citations

Hit Papers

Deep Reinforcement Learni... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Minghu Wu 301 299 236 188 89 38 822
Quanbo Ge 356 1.2× 266 0.9× 249 1.1× 462 2.5× 76 0.9× 91 910
Fan Yang 476 1.6× 193 0.6× 304 1.3× 80 0.4× 48 0.5× 70 851
Alexandra-Iulia Szedlak-Stinean 443 1.5× 127 0.4× 114 0.5× 360 1.9× 101 1.1× 67 946
Chuanbo Wen 386 1.3× 77 0.3× 217 0.9× 204 1.1× 95 1.1× 43 713
Soo Hee Han 413 1.4× 177 0.6× 60 0.3× 201 1.1× 33 0.4× 26 716
Hui Peng 821 2.7× 110 0.4× 109 0.5× 227 1.2× 51 0.6× 57 1.0k
Qinruo Wang 230 0.8× 429 1.4× 543 2.3× 187 1.0× 79 0.9× 67 1.0k
Sumika Chauhan 390 1.3× 154 0.5× 58 0.2× 280 1.5× 86 1.0× 58 968
Chongquan Zhong 279 0.9× 112 0.4× 115 0.5× 163 0.9× 72 0.8× 66 718
Itziar Landa-Torres 124 0.4× 162 0.5× 133 0.6× 323 1.7× 98 1.1× 28 820

Countries citing papers authored by Minghu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Minghu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghu Wu

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