Ming Wu

676 total citations
35 papers, 525 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 35 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 21 papers in Metals and Alloys and 15 papers in Civil and Structural Engineering. Recurrent topics in Ming Wu's work include Corrosion Behavior and Inhibition (27 papers), Hydrogen embrittlement and corrosion behaviors in metals (21 papers) and Concrete Corrosion and Durability (15 papers). Ming Wu is often cited by papers focused on Corrosion Behavior and Inhibition (27 papers), Hydrogen embrittlement and corrosion behaviors in metals (21 papers) and Concrete Corrosion and Durability (15 papers). Ming Wu collaborates with scholars based in China, Hong Kong and Germany. Ming Wu's co-authors include Fei Xie, Dongxu Sun, Dan Wang, Ke Gong, Xue Li, Xiaoqing Sun, Chenchong Wang, Dan Wang, Yuxin Wang and Yi Zhou and has published in prestigious journals such as Construction and Building Materials, Electrochimica Acta and International Journal of Hydrogen Energy.

In The Last Decade

Ming Wu

33 papers receiving 498 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Wu China 14 410 338 224 141 44 35 525
Chengqiang Ren China 12 420 1.0× 267 0.8× 232 1.0× 154 1.1× 28 0.6× 23 521
Xueqiang Lin China 12 522 1.3× 389 1.2× 201 0.9× 144 1.0× 94 2.1× 29 666
Feng Gui United States 12 304 0.7× 282 0.8× 154 0.7× 182 1.3× 19 0.4× 85 474
M. Askari Iran 8 374 0.9× 209 0.6× 216 1.0× 157 1.1× 10 0.2× 19 545
Joshua Owen United Kingdom 11 217 0.5× 159 0.5× 110 0.5× 59 0.4× 45 1.0× 36 321
Yougui Zheng United States 9 448 1.1× 371 1.1× 202 0.9× 139 1.0× 34 0.8× 18 526
Frederick Pessu United Kingdom 12 263 0.6× 206 0.6× 147 0.7× 109 0.8× 49 1.1× 30 364
Jon Kvarekvål Norway 13 393 1.0× 290 0.9× 189 0.8× 121 0.9× 19 0.4× 37 479
Jean-Louis Crolet France 12 348 0.8× 259 0.8× 157 0.7× 143 1.0× 37 0.8× 36 469
Changkun Yu China 14 673 1.6× 441 1.3× 459 2.0× 100 0.7× 29 0.7× 29 752

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

20 of 20 papers shown
1.
2.
Wang, Dan, et al.. (2025). Effect of magnetite nanoparticle size and concentration on microbiologically influenced corrosion of X70 steel by Desulfovibrio vulgaris. Electrochimica Acta. 523. 145992–145992. 1 indexed citations
3.
Wang, Liyan, Jiahan Li, Fei Xie, Dan Wang, & Ming Wu. (2024). Anions exacerbate microbial corrosion of X80 pipeline steel induced by sulfate-reducing bacteria in the sea mud environment. Journal of Electroanalytical Chemistry. 973. 118705–118705. 1 indexed citations
4.
Wang, Yuxin, Guofu Wang, Fei Xie, et al.. (2024). Corrosion mechanism and research progress of metal pipeline corrosion under magnetic field and SRB conditions: a review. Corrosion Reviews. 42(2). 203–223. 4 indexed citations
5.
Sun, Dongxu, Dini Wang, Lei Li, et al.. (2023). Study on stress corrosion behavior and mechanism of X70 pipeline steel with the combined action of sulfate-reducing bacteria and constant load. Corrosion Science. 213. 110968–110968. 33 indexed citations
6.
Xie, Fei, et al.. (2023). Hydrogen-induced cracking of X70 steel affected by sulfate-reducing bacteria and cathodic potential: experiment and density functional theory study. International Journal of Hydrogen Energy. 49. 798–810. 11 indexed citations
7.
Zhou, Yi, Fei Xie, Dan Wang, Yuxin Wang, & Ming Wu. (2023). Carbon capture, utilization and storage (CCUS) pipeline steel corrosion failure analysis: A review. Engineering Failure Analysis. 155. 107745–107745. 31 indexed citations
8.
Xie, Fei, et al.. (2021). Effect of magnetic field on stress corrosion cracking induced by Sulfate-reducing bacteria. Construction and Building Materials. 303. 124521–124521. 25 indexed citations
9.
Liu, Xinyi, et al.. (2020). Effect of grain boundary precipitation on corrosion of heating-aging treated Al-4.47Zn-2.13Mg-1.20Cu alloy. Journal of Materials Research and Technology. 9(3). 5815–5826. 21 indexed citations
10.
Sun, Dongxu, et al.. (2020). Experimental and theoretical study on wax deposition and the application on a heat insulated crude oil pipeline in Northeast China. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 75. 3–3. 11 indexed citations
11.
Sun, Dongxu, Ming Wu, Fei Xie, & Ke Gong. (2019). Hydrogen permeation behavior of X70 pipeline steel simultaneously affected by tensile stress and sulfate-reducing bacteria. International Journal of Hydrogen Energy. 44(43). 24065–24074. 35 indexed citations
12.
Xie, Fei, et al.. (2019). Effect of strain rate and sulfate reducing bacteria on stress corrosion cracking behaviour of X70 pipeline steel in simulated sea mud solution. Engineering Failure Analysis. 100. 245–258. 22 indexed citations
13.
Wu, Ming, et al.. (2018). Corrosion Behavior of Pipeline Steel Under Anions and Sulfate-Reducing Bacteria:a Review. 32(19). 3435–3443. 1 indexed citations
14.
Xie, Fei, et al.. (2018). Effect of Low-Temperature Environment on Stress Corrosion Cracking Behavior of X80 Pipeline Steel in Simulated Alkaline Soil Solution. Metallurgical and Materials Transactions A. 49(4). 1372–1382. 9 indexed citations
15.
Wu, Ming, Zhihao Zhao, Xu Wang, Chenchong Wang, & Ping Liang. (2018). Corrosion behavior of 17–4 PH stainless steel in simulated marine environment. Materials and Corrosion. 70(3). 461–469. 18 indexed citations
16.
Sun, Dongxu, Ming Wu, & Fei Xie. (2018). Effect of sulfate-reducing bacteria and cathodic potential on stress corrosion cracking of X70 steel in sea-mud simulated solution. Materials Science and Engineering A. 721. 135–144. 69 indexed citations
17.
Li, Xue, et al.. (2018). Effect of residual and external stress on corrosion behaviour of X80 pipeline steel in sulphate-reducing bacteria environment. Engineering Failure Analysis. 91. 275–290. 45 indexed citations
18.
Jia, Fengrui, et al.. (2017). Carbon flow analysis and Carbon emission reduction of FCC in Chinese oil refineries. IOP Conference Series Earth and Environmental Science. 81. 12047–12047.
19.
Li, Ping, et al.. (2010). Application of ArcGIS Pipeline Data Model and GIS in Digital Oil and Gas Pipeline. 44. 1–5. 3 indexed citations
20.
Wu, Ming. (2009). Evaluation of the Soil Corrosivity Along the Qing-Tie Buried Crude Oil Pipeline. 1 indexed citations

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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