Ming Wu

48 total papers · 740 total citations
36 papers, 583 citations indexed

About

Ming Wu is a scholar working on Materials Chemistry, Metals and Alloys and Civil and Structural Engineering. According to data from OpenAlex, Ming Wu has authored 36 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Materials Chemistry, 14 papers in Metals and Alloys and 9 papers in Civil and Structural Engineering. Recurrent topics in Ming Wu's work include Hydrogen embrittlement and corrosion behaviors in metals (14 papers), Corrosion Behavior and Inhibition (13 papers) and Concrete Corrosion and Durability (8 papers). Ming Wu is often cited by papers focused on Hydrogen embrittlement and corrosion behaviors in metals (14 papers), Corrosion Behavior and Inhibition (13 papers) and Concrete Corrosion and Durability (8 papers). Ming Wu collaborates with scholars based in China, Hong Kong and Taiwan. Ming Wu's co-authors include Ke Gong, Guangxin Liu, Hongbo Liu, Fei Xie, Dongxu Sun, Leilei Zhang, Jingsheng Xu, Long Wen, Hongdong Cai and Li Wang and has published in prestigious journals such as Construction and Building Materials, Electrochimica Acta and Corrosion Science.

In The Last Decade

Ming Wu

34 papers receiving 570 citations

Author Peers

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

Author Last Decade Papers Cites
Ming Wu 411 204 136 112 101 36 583
Mohamed Nadir Boucherit 451 1.1× 216 1.1× 170 1.3× 74 0.7× 21 0.2× 22 625
Alec Groysman 412 1.0× 125 0.6× 149 1.1× 103 0.9× 28 0.3× 26 645
Marion Seiersten 276 0.7× 116 0.6× 112 0.8× 89 0.8× 7 0.1× 39 554
Yang Xiang 369 0.9× 79 0.4× 64 0.5× 55 0.5× 94 0.9× 28 517
Erwan Diler 406 1.0× 87 0.4× 147 1.1× 104 0.9× 26 0.3× 30 562
Haoping Peng 294 0.7× 50 0.2× 48 0.4× 220 2.0× 22 0.2× 68 694
Shitong Zhou 191 0.5× 25 0.1× 212 1.6× 191 1.7× 89 0.9× 25 554
F.H. Kármán 460 1.1× 221 1.1× 249 1.8× 67 0.6× 10 0.1× 24 615
Huichao Bi 496 1.2× 144 0.7× 211 1.6× 94 0.8× 14 0.1× 36 659
Bing Lei 348 0.8× 91 0.4× 106 0.8× 113 1.0× 17 0.2× 62 540

Countries citing papers authored by Ming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Wu

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