Mingsong Wu

42 total papers · 685 total citations
30 papers, 524 citations indexed

About

Mingsong Wu is a scholar working on Environmental Engineering, Biomedical Engineering and Pollution. According to data from OpenAlex, Mingsong Wu has authored 30 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 5 papers in Biomedical Engineering and 4 papers in Pollution. Recurrent topics in Mingsong Wu's work include Electrochemical Analysis and Applications (4 papers), Aquatic Ecosystems and Phytoplankton Dynamics (4 papers) and Microbial Fuel Cells and Bioremediation (4 papers). Mingsong Wu is often cited by papers focused on Electrochemical Analysis and Applications (4 papers), Aquatic Ecosystems and Phytoplankton Dynamics (4 papers) and Microbial Fuel Cells and Bioremediation (4 papers). Mingsong Wu collaborates with scholars based in China, Mexico and United Kingdom. Mingsong Wu's co-authors include Qingliang Zhao, Richard G. Compton, Xun Xu, Jing Ding, Wei‐xian Zhang, Zaobao Liu, Jonathan A. Cooper, Richard P. Akkermans, Xueqi Li and J.F. Shao and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Mingsong Wu

27 papers receiving 510 citations

Hit Papers

Experimental study of mec... 2024 2026 2024 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Mingsong Wu 208 184 102 101 101 30 524
Xiaojun Jin 286 1.4× 219 1.2× 33 0.3× 160 1.6× 49 0.5× 29 481
Serge Da Silva 144 0.7× 271 1.5× 78 0.8× 23 0.2× 90 0.9× 23 532
Pablo Sebastián Bonanni 512 2.5× 375 2.0× 147 1.4× 52 0.5× 91 0.9× 15 605
Bhim Sen Thapa 316 1.5× 221 1.2× 54 0.5× 66 0.7× 57 0.6× 20 460
Joana M. Dantas 423 2.0× 255 1.4× 159 1.6× 24 0.2× 113 1.1× 31 566
Guangtuan Huang 269 1.3× 228 1.2× 61 0.6× 63 0.6× 76 0.8× 33 489
Yuxiang Liang 305 1.5× 230 1.3× 39 0.4× 58 0.6× 75 0.7× 38 509
Giovanni Hernández-Flores 352 1.7× 293 1.6× 41 0.4× 50 0.5× 91 0.9× 28 519
Yuxuan Chen 202 1.0× 101 0.5× 27 0.3× 77 0.8× 90 0.9× 20 491
Guillermo Pozo 169 0.8× 86 0.5× 45 0.4× 117 1.2× 179 1.8× 25 547

Countries citing papers authored by Mingsong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mingsong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingsong Wu

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