Hao Dong

1.4k total citations · 1 hit paper
95 papers, 1.0k citations indexed

About

Hao Dong is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Hao Dong has authored 95 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Mechanics of Materials, 37 papers in Mechanical Engineering and 35 papers in Materials Chemistry. Recurrent topics in Hao Dong's work include Composite Material Mechanics (30 papers), Advanced Mathematical Modeling in Engineering (26 papers) and Advanced Numerical Methods in Computational Mathematics (20 papers). Hao Dong is often cited by papers focused on Composite Material Mechanics (30 papers), Advanced Mathematical Modeling in Engineering (26 papers) and Advanced Numerical Methods in Computational Mathematics (20 papers). Hao Dong collaborates with scholars based in China, United States and Hong Kong. Hao Dong's co-authors include Junzhi Cui, Yufeng Nie, Zihao Yang, G.B. Shan, Jinghuai Zhang, Ruizhi Wu, Shujuan Liu, Zhiqiang Yang, Y.Z. Chen and F. Liu and has published in prestigious journals such as Acta Materialia, Journal of Computational Physics and Food Chemistry.

In The Last Decade

Hao Dong

86 papers receiving 976 citations

Hit Papers

Insight into dissolution rate-regulated advanced films on... 2025 2026 2025 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Dong China 17 480 464 312 192 188 95 1.0k
Ebrahim Asadi United States 23 707 1.5× 642 1.4× 483 1.5× 254 1.3× 38 0.2× 54 1.5k
Mostafa Jamshidian Iran 15 313 0.7× 320 0.7× 451 1.4× 113 0.6× 22 0.1× 35 800
Lionel Gélébart France 23 648 1.4× 634 1.4× 878 2.8× 49 0.3× 17 0.1× 50 1.5k
Fenglin Guo China 19 323 0.7× 449 1.0× 712 2.3× 28 0.1× 40 0.2× 60 1.2k
Parviz Davami Iran 17 374 0.8× 200 0.4× 107 0.3× 224 1.2× 18 0.1× 32 634
Takayuki Hama Japan 23 1.4k 2.8× 910 2.0× 765 2.5× 135 0.7× 525 2.8× 133 1.9k
H. Weiland United States 17 674 1.4× 543 1.2× 509 1.6× 359 1.9× 30 0.2× 37 992
S. Mahesh India 19 497 1.0× 393 0.8× 419 1.3× 166 0.9× 64 0.3× 61 946
José A. Otero Mexico 21 153 0.3× 141 0.3× 988 3.2× 63 0.3× 22 0.1× 82 1.2k
S. A. Lurie Russia 21 347 0.7× 869 1.9× 1.1k 3.4× 33 0.2× 22 0.1× 137 1.5k

Countries citing papers authored by Hao Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hao Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Dong. A scholar is included among the top collaborators of Hao 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 Hao Dong. Hao 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.
Zhang, Jinghuai, Qiang Yang, Shujuan Liu, et al.. (2025). Synergistically enhancing corrosion resistance and discharge performance in Mg-Al-Mn-Ca alloy by adding trace Sm. Journal of Alloys and Compounds. 1021. 179633–179633. 15 indexed citations
2.
Wang, Haodong, Xueshi Zhuo, Hao Dong, et al.. (2025). Strengthening of CMAS corrosion resistance of thermal barrier coatings by surface Al-Ce modification. Surface and Coatings Technology. 510. 132168–132168.
3.
Xu, Z.Z., Jinghuai Zhang, Yuying He, et al.. (2025). Revealing anti-corrosion mechanism of low-alloyed Mg-Gd-Zn-Zr alloy with ultra-low corrosion rate. Corrosion Science. 251. 112931–112931. 17 indexed citations
4.
Dong, Hao, Liping Tong, & Shifeng Hou. (2025). Humidity control in fruits and vegetables packaging using bilayer asymmetric films for reduced postharvest losses. Trends in Food Science & Technology. 166. 105394–105394.
5.
Gao, Weifeng, et al.. (2025). High-order multi-scale neural network method for quasi-static thermo-mechanical problems of composite materials. Applied Mathematical Modelling. 148. 116232–116232. 2 indexed citations
6.
Gao, Weifeng, et al.. (2024). Higher-order multi-scale physics-informed neural network (HOMS-PINN) method and its convergence analysis for solving elastic problems of authentic composite materials. Journal of Computational and Applied Mathematics. 456. 116223–116223. 11 indexed citations
7.
Zhang, Haodong, Yuying He, Jinghuai Zhang, et al.. (2024). Developing high anti-corrosion dilute Mg-La-Ca-Ge alloy as promising anode for primary Mg-air batteries. Journal of Alloys and Compounds. 978. 173473–173473. 32 indexed citations
8.
Dong, Hao, Jiahui Dong, Dongmei Zhao, et al.. (2024). Crop water stress detection based on UAV remote sensing systems. Agricultural Water Management. 303. 109059–109059. 33 indexed citations
9.
11.
Yang, Liming, et al.. (2024). Least-square finite difference-based physics-informed neural network for steady incompressible flows. Computers & Mathematics with Applications. 175. 33–48. 11 indexed citations
12.
Wang, Yufeng, Qiangang Fu, Hao Dong, et al.. (2024). CMAS corrosion behavior of interface for EB-PVD Gd2Zr2O7/YSZ thermal barrier coatings. Materials Today Communications. 41. 110756–110756. 5 indexed citations
13.
Zhang, Zhi, Jinshu Xie, Jinghuai Zhang, et al.. (2023). Simultaneously improving mechanical and anti-corrosion properties of extruded Mg-Al dilute alloy via trace Er addition. Journal of Material Science and Technology. 150. 49–64. 75 indexed citations
14.
Cao, Rui, et al.. (2023). A Comparative Study on Microstructure, Mechanical Properties and Corrosion Resistance of M390 and 304 with Different Welding Methods. Journal of Materials Engineering and Performance. 33(16). 8242–8254. 5 indexed citations
16.
Hong, Liu, et al.. (2020). Strength and Microscopic Damage Mechanism of Yellow Sandstone with Holes under Freezing and Thawing. Advances in Civil Engineering. 2020(1). 7 indexed citations
17.
Dong, Hao, et al.. (2020). Convergence rate of multiscale finite element method for various boundary problems. Journal of Computational and Applied Mathematics. 374. 112754–112754. 6 indexed citations
18.
Dong, Hao, Xiaojing Zheng, Junzhi Cui, et al.. (2019). High-order three-scale computational method for dynamic thermo-mechanical problems of composite structures with multiple spatial scales. International Journal of Solids and Structures. 169. 95–121. 19 indexed citations
19.
Yang, Zhiqiang, Yi Sun, Yizhi Liu, Tianyu Guan, & Hao Dong. (2019). A three-scale asymptotic analysis for ageing linear viscoelastic problems of composites with multiple configurations. Applied Mathematical Modelling. 71. 223–242. 12 indexed citations
20.
Dong, Hao, et al.. (2018). Multiscale computational method for heat conduction problems of composite structures with diverse periodic configurations in different subdomains. Computers & Mathematics with Applications. 76(11-12). 2549–2565. 6 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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