Ziqiang Dong

849 total citations
44 papers, 666 citations indexed

About

Ziqiang Dong is a scholar working on Mechanical Engineering, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ziqiang Dong has authored 44 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Mechanical Engineering, 17 papers in Aerospace Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Ziqiang Dong's work include Advanced materials and composites (12 papers), High-Temperature Coating Behaviors (11 papers) and Intermetallics and Advanced Alloy Properties (7 papers). Ziqiang Dong is often cited by papers focused on Advanced materials and composites (12 papers), High-Temperature Coating Behaviors (11 papers) and Intermetallics and Advanced Alloy Properties (7 papers). Ziqiang Dong collaborates with scholars based in China, Canada and Hong Kong. Ziqiang Dong's co-authors include Weixing Chen, Qing‐An Huang, Ming Qin, D. Guzonas, Wenyue Zheng, Tong‐Yi Zhang, Yukun Qin, Jingjing Chen, Jing‐Li Luo and Liang Zhang and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Electrochimica Acta.

In The Last Decade

Ziqiang Dong

40 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziqiang Dong China 16 389 251 184 179 131 44 666
Donald Francis Susan United States 16 514 1.3× 273 1.1× 195 1.1× 245 1.4× 33 0.3× 49 800
Keyou Mao United States 17 254 0.7× 357 1.4× 109 0.6× 87 0.5× 73 0.6× 44 578
R. T. Huang Taiwan 16 393 1.0× 288 1.1× 207 1.1× 93 0.5× 51 0.4× 37 742
Jian Peng China 14 493 1.3× 300 1.2× 324 1.8× 64 0.4× 55 0.4× 45 682
Nils Ellendt Germany 16 899 2.3× 270 1.1× 167 0.9× 84 0.5× 82 0.6× 57 1.1k
Songlin Cai China 13 357 0.9× 171 0.7× 148 0.8× 59 0.3× 63 0.5× 51 472
Erdoğan Kanca Türkiye 19 668 1.7× 405 1.6× 174 0.9× 139 0.8× 81 0.6× 50 880
Shichao Liu China 23 946 2.4× 593 2.4× 452 2.5× 70 0.4× 46 0.4× 65 1.2k

Countries citing papers authored by Ziqiang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ziqiang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziqiang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Ziqiang Dong. A scholar is included among the top collaborators of Ziqiang Dong 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 Ziqiang Dong. Ziqiang Dong 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.
Dong, Ziqiang, Zhihui Dong, Lili Xu, et al.. (2025). Vortioxetine alleviates motor, cognitive and emotional disorders in post-stroke rats by regulating the TLR-2/NF-κB pathway. Frontiers in Pharmacology. 16. 1555079–1555079. 1 indexed citations
2.
Li, Tianyuan, et al.. (2025). Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty. npj Computational Materials. 11(1). 6 indexed citations
3.
Ma, Chen, Ziqiang Dong, Yuzhen Li, et al.. (2025). SnBi-metal organic framework/cellulose nanocrystal derived SnBi-carbon hierarchical architectures as high-performance anodes for magnesium-ion batteries. Journal of Energy Storage. 134. 118402–118402.
4.
Dong, Ziqiang, Chao Zhou, Qiliang Huang, et al.. (2025). Design of high temperature oxidation-resistant high-entropy alloys via machine learning and natural mixing process. Corrosion Science. 255. 113047–113047. 3 indexed citations
5.
Dong, Ziqiang, Xiaodong Yu, Hao Yuan, et al.. (2023). Machine learning-assisted discovery of Cr, Al-containing high-entropy alloys for high oxidation resistance. Corrosion Science. 220. 111222–111222. 27 indexed citations
6.
Dong, Ziqiang, et al.. (2023). Discovering a formula for the high temperature oxidation behavior of FeCrAlCoNi based high entropy alloys by domain knowledge-guided machine learning. Journal of Material Science and Technology. 149. 237–246. 24 indexed citations
7.
Yuan, Hao, et al.. (2023). Divide and conquer: Machine learning accelerated design of lead-free solder alloys with high strength and high ductility. npj Computational Materials. 9(1). 18 indexed citations
8.
Zhao, Zequan, Luyao Xu, Chunying Wang, et al.. (2022). A rational design of multi-functional separator for uniform zinc deposition and suppressed side reaction towards zinc–nickel batteries with superior cycling life and shelf life. Chemical Engineering Journal. 442. 136079–136079. 14 indexed citations
9.
Han, Tao, et al.. (2022). Enhanced wearing resistance of carbide reinforced FeCoNiCrMn high entropy alloy prepared by mechanical alloying and spark plasma sintering. Materials Today Communications. 30. 103127–103127. 18 indexed citations
10.
11.
Chen, Rong, Fu Liu, Yuchao Tang, et al.. (2022). Combined first-principles and machine learning study of the initial growth of carbon nanomaterials on metal surfaces. Applied Surface Science. 586. 152762–152762. 12 indexed citations
12.
13.
Chen, Zheng, Bin Xiao, Xing Liu, et al.. (2020). Composition Refinement of 6061 Aluminum Alloy Using Active Machine Learning Model Based on Bayesian Optimization Sampling. Acta Metallurgica Sinica. 57(6). 797–810. 11 indexed citations
14.
Wang, Renfei, Ziqiang Dong, Jing‐Li Luo, et al.. (2014). Stability of MgO-, CeO2- and SiO2-doped Cr2O3 ceramics in high-temperature supercritical water. Corrosion Science. 82. 339–346. 10 indexed citations
15.
Dong, Ziqiang, Weixing Chen, Wenyue Zheng, & D. Guzonas. (2012). Effect of yttria addition on the stability of porous chromium oxide ceramics in supercritical water. Journal of Nuclear Materials. 432(1-3). 466–474. 6 indexed citations
16.
Dong, Ziqiang, Lei Zhang, & Weixing Chen. (2012). Evaluation of Cu-Cr3C2 composite with interpenetrating network. Materials Science and Engineering A. 552. 24–30. 23 indexed citations
17.
Dong, Ziqiang, Jingjing Chen, Yukun Qin, Ming Qin, & Qing‐An Huang. (2011). A hot film wind sensor with four Constant Temperature Difference elements fabricated on ceramic substrate. 56. 464–467. 8 indexed citations
18.
Dong, Ziqiang, Qing‐An Huang, & Ming Qin. (2010). Thermal asymmetry compensation of a wind sensor fabricated on ceramic substrate. 22. 595–599. 13 indexed citations
19.
Wang, Zhonglei, et al.. (2008). Effects of Nb and Si on high temperature oxidation of TiAl. Transactions of Nonferrous Metals Society of China. 18(3). 512–517. 62 indexed citations
20.
Qin, Ming, et al.. (2008). A smart 2-D wind sensor with self-test function. 28. 70–73. 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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