Di Wang

2.3k total citations
75 papers, 1.7k citations indexed

About

Di Wang is a scholar working on Materials Chemistry, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Di Wang has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 29 papers in Mechanical Engineering and 16 papers in Civil and Structural Engineering. Recurrent topics in Di Wang's work include Corrosion Behavior and Inhibition (31 papers), Concrete Corrosion and Durability (15 papers) and Microbial Fuel Cells and Bioremediation (9 papers). Di Wang is often cited by papers focused on Corrosion Behavior and Inhibition (31 papers), Concrete Corrosion and Durability (15 papers) and Microbial Fuel Cells and Bioremediation (9 papers). Di Wang collaborates with scholars based in China, United States and Thailand. Di Wang's co-authors include Tingyue Gu, Dake Xu, Suchada Punpruk, Sith Kumseranee, Ru Jia, Jialin Liu, Wenwen Dou, Yassir Lekbach, Magdy El‐Said Mohamed and Tuba Ünsal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Macromolecules and Chemical Communications.

In The Last Decade

Di Wang

72 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Wang China 22 1.1k 394 338 316 256 75 1.7k
Yuntian Lou China 25 985 0.9× 266 0.7× 313 0.9× 230 0.7× 252 1.0× 53 1.5k
Enze Zhou China 24 1.5k 1.4× 478 1.2× 587 1.7× 352 1.1× 296 1.2× 75 2.1k
Zhenyao Wang China 32 1.4k 1.4× 529 1.3× 530 1.6× 685 2.2× 454 1.8× 165 3.2k
Laura L. Machuca Australia 21 795 0.7× 367 0.9× 330 1.0× 202 0.6× 178 0.7× 52 1.5k
Yassir Lekbach China 15 917 0.9× 296 0.8× 301 0.9× 66 0.2× 198 0.8× 24 1.3k
Yingchao Li China 14 1.2k 1.2× 547 1.4× 482 1.4× 80 0.3× 243 0.9× 19 1.5k
B. Anandkumar India 22 727 0.7× 281 0.7× 130 0.4× 132 0.4× 347 1.4× 58 1.4k
Weiwei Chang China 18 662 0.6× 176 0.4× 227 0.7× 272 0.9× 250 1.0× 44 1000
Xiaofan Zhai China 27 1.1k 1.0× 291 0.7× 170 0.5× 72 0.2× 251 1.0× 91 1.7k
N. Palaniswamy India 32 2.0k 1.9× 1.5k 3.8× 609 1.8× 250 0.8× 261 1.0× 140 2.9k

Countries citing papers authored by Di Wang

Since Specialization
Citations

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

Fields of papers citing papers by Di Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Di Wang. A scholar is included among the top collaborators of Di Wang 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 Di Wang. Di Wang 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.
Wu, Yalin, Zhilin Li, Di Wang, et al.. (2025). Combination of Cr-Cu-bearing pipeline steel and novel biocides as a strategy to combat microbiologically influenced corrosion. Corrosion Science. 248. 112807–112807. 4 indexed citations
2.
Wang, Di, et al.. (2025). High WC content promotes continuous eutectic structure formation and enhances wear resistance in WC/CeO₂-Fe laser cladding coatings. Surface and Coatings Technology. 513. 132491–132491. 2 indexed citations
3.
4.
5.
Wang, Di, et al.. (2024). Elucidating microbial iron corrosion mechanisms with a hydrogenase‐deficient strain of Desulfovibrio vulgaris. SHILAP Revista de lepidopterología. 3(2). 269–276. 8 indexed citations
6.
Wang, Di, et al.. (2024). Chloride enhances corrosion associated with sulfate-reducing bacteria. Corrosion Science. 233. 112096–112096. 14 indexed citations
7.
Wang, Di, Pan Liu, Yalin Wu, et al.. (2024). Mitigation of biocorrosion of X80 carbon steel by a shale microbiome biofilm using a green biocide enhanced by d-amino acids. Bioelectrochemistry. 161. 108831–108831. 5 indexed citations
8.
Zhang, Zhendong, et al.. (2024). Surface Modification of 42CrMo Steels: A Review from Wear and Corrosion Resistance. Coatings. 14(3). 337–337. 17 indexed citations
9.
Liang, Yan, et al.. (2024). Application and Prospect of Wear Simulation Based on ABAQUS: A Review. Lubricants. 12(2). 57–57. 11 indexed citations
10.
Sun, Yiming, Di Wang, Yufeng Zhang, et al.. (2023). Microbiologically influenced corrosion of a novel pipeline steel containing Cu and Cr elements in the presence of Desulfovibrio vulgaris Hildenborough. Corrosion Science. 223. 111421–111421. 22 indexed citations
11.
Xie, Xinyan, et al.. (2023). Performance Simulation of a Coal-Fired Power Plant Integrated with S-CO2 Brayton Cycle for Operational Flexibility Enhancement. International Journal of Energy Research. 2023. 1–21. 1 indexed citations
12.
Wang, Di, Chuntian Yang, Borui Zheng, et al.. (2023). Microbiologically influenced corrosion of CoCrFeMnNi high entropy alloy by sulfate-reducing bacterium Desulfovibrio vulgaris. Corrosion Science. 223. 111429–111429. 34 indexed citations
13.
Ünsal, Tuba, Di Wang, Sith Kumseranee, et al.. (2022). Food-grade D-limonene enhanced a green biocide in the mitigation of carbon steel biocorrosion by a mixed-culture biofilm consortium. Bioprocess and Biosystems Engineering. 45(4). 669–678. 8 indexed citations
14.
Wang, Di, Tuba Ünsal, Sith Kumseranee, et al.. (2022). Mitigation of carbon steel biocorrosion using a green biocide enhanced by a nature-mimicking anti-biofilm peptide in a flow loop. Bioresources and Bioprocessing. 9(1). 67–67. 15 indexed citations
15.
Wang, Di, Светлана Иванова, R. L. Hahn, & Tingyue Gu. (2022). Evaluation of trehalase as an enhancer for a green biocide in the mitigation of Desulfovibrio vulgaris biocorrosion of carbon steel. Bioprocess and Biosystems Engineering. 45(4). 659–667. 14 indexed citations
16.
Chen, Hongyu, et al.. (2022). Temperature-dependent dynamic compressive properties and failure mechanisms of the additively manufactured CoCrFeMnNi high entropy alloy. Materials & Design. 224. 111324–111324. 21 indexed citations
17.
Ünsal, Tuba, Di Wang, Sith Kumseranee, Suchada Punpruk, & Tingyue Gu. (2021). d-Tyrosine enhancement of microbiocide mitigation of carbon steel corrosion by a sulfate reducing bacterium biofilm. World Journal of Microbiology and Biotechnology. 37(6). 103–103. 10 indexed citations
18.
Ünsal, Tuba, Di Wang, Sith Kumseranee, et al.. (2021). Assessment of 2,2-Dibromo-3-Nitrilopropionamide Biocide Enhanced by D-Tyrosine against Zinc Corrosion by a Sulfate Reducing Bacterium. Industrial & Engineering Chemistry Research. 60(10). 4009–4018. 19 indexed citations
19.
Jia, Ru, Di Wang, Peng Jin, et al.. (2019). Effects of ferrous ion concentration on microbiologically influenced corrosion of carbon steel by sulfate reducing bacterium Desulfovibrio vulgaris. Corrosion Science. 153. 127–137. 95 indexed citations
20.
Wang, Di, et al.. (2016). [Interception Effect of Ecological Ditch on Nitrogen Transport in Agricultural Runoff in Subtropical China].. PubMed. 37(5). 1717–23.

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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