Shaorui Zhang

519 total citations
26 papers, 423 citations indexed

About

Shaorui Zhang is a scholar working on Mechanical Engineering, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Shaorui Zhang has authored 26 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 9 papers in Biomaterials and 7 papers in Biomedical Engineering. Recurrent topics in Shaorui Zhang's work include Aluminum Alloys Composites Properties (10 papers), Magnesium Alloys: Properties and Applications (9 papers) and Thermochemical Biomass Conversion Processes (6 papers). Shaorui Zhang is often cited by papers focused on Aluminum Alloys Composites Properties (10 papers), Magnesium Alloys: Properties and Applications (9 papers) and Thermochemical Biomass Conversion Processes (6 papers). Shaorui Zhang collaborates with scholars based in China, Australia and Canada. Shaorui Zhang's co-authors include Jianhua Yan, Yinghong Peng, Xuguang Jiang, Dayong Li, Yuqi Jin, Guojun Lv, Weiqin Tang, Shiyao Huang, Xungai Wang and Zhiliang Chen and has published in prestigious journals such as Acta Materialia, Journal of Cleaner Production and International Journal of Hydrogen Energy.

In The Last Decade

Shaorui Zhang

24 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaorui Zhang China 13 187 123 110 104 104 26 423
Katarzyna Nowińska Poland 11 134 0.7× 263 2.1× 87 0.8× 21 0.2× 127 1.2× 40 432
Joakim M. Johansen Denmark 7 149 0.8× 559 4.5× 222 2.0× 20 0.2× 120 1.2× 8 633
Sonja Enestam Finland 12 245 1.3× 219 1.8× 131 1.2× 12 0.1× 178 1.7× 20 517
In-Hee Hwang Japan 11 137 0.7× 234 1.9× 83 0.8× 12 0.1× 58 0.6× 32 518
J. Otero Spain 8 135 0.7× 300 2.4× 97 0.9× 19 0.2× 95 0.9× 10 464
K.T. Paul United Kingdom 8 61 0.3× 49 0.4× 32 0.3× 21 0.2× 95 0.9× 26 503
Raili Taipale Finland 12 162 0.9× 518 4.2× 220 2.0× 8 0.1× 86 0.8× 18 686
Yongjie Na China 19 236 1.3× 554 4.5× 253 2.3× 15 0.1× 85 0.8× 37 822
Sait Kızgut Türkiye 10 123 0.7× 179 1.5× 98 0.9× 34 0.3× 42 0.4× 22 404
Rolandas Paulauskas Lithuania 13 84 0.4× 234 1.9× 27 0.2× 21 0.2× 70 0.7× 30 438

Countries citing papers authored by Shaorui Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shaorui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaorui Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaorui Zhang. A scholar is included among the top collaborators of Shaorui Zhang 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 Shaorui Zhang. Shaorui Zhang 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.
Liang, Huan, Shaorui Zhang, Saisai Lin, et al.. (2025). A genetic algorithm-based framework for efficient optimization of alkaline electrolyzer flow channels to improve flow uniformity. International Journal of Hydrogen Energy. 122. 57–66.
2.
Zhang, Shaorui, Yanjun Zhang, Fengjun Wang, et al.. (2021). Incineration experiment of medical waste of novel coronavirus pneumonia (COVID-19) in a mobile animal carcass incinerator. Waste Disposal & Sustainable Energy. 3(2). 177–183. 8 indexed citations
3.
Zhang, Shaorui, Xiaoqing Lin, Zhiliang Chen, et al.. (2018). Influence on gaseous pollutants emissions and fly ash characteristics from co-combustion of municipal solid waste and coal by a drop tube furnace. Waste Management. 81. 33–40. 29 indexed citations
4.
Lin, Xiaoqing, Zhiliang Chen, Shengyong Lu, et al.. (2018). Emission Characteristics of Polychlorinated Dibenzo-p-dioxins and Dibenzofurans from the Co-combustion of Municipal Solid Waste in a Lab-Scale Drop-Tube Furnace. Energy & Fuels. 32(4). 5396–5404. 23 indexed citations
5.
7.
Tang, Tao, Yichuan Shao, Dayong Li, et al.. (2017). Polycrystal plasticity simulation of extrusion of a magnesium alloy round bar: Effect of strain path non-uniformity. Journal of Alloys and Compounds. 730. 161–181. 17 indexed citations
9.
Zhang, Shaorui, et al.. (2015). The effects of strain rate and grain size on nanocrystalline materials: A theoretical prediction. Materials & Design. 87. 49–52. 12 indexed citations
10.
Tang, Weiqin, Shiyao Huang, Shaorui Zhang, Dayong Li, & Yinghong Peng. (2011). Influence of extrusion parameters on grain size and texture distributions of AZ31 alloy. Journal of Materials Processing Technology. 211(7). 1203–1209. 51 indexed citations
11.
Huang, Shiyao, Shaorui Zhang, Dayong Li, & Yinghong Peng. (2011). Modeling texture evolution during rolling process of AZ31 magnesium alloy with elasto-plastic self consistent model. Transactions of Nonferrous Metals Society of China. 21(6). 1348–1354. 8 indexed citations
12.
Tang, Weiqin, et al.. (2010). Effects of Dynamic Recrystallization in Extruded and Compressed AZ31 Magnesium Alloy. Acta Metallurgica Sinica(English letters). 23(5). 334–342. 7 indexed citations
13.
Li, Dayong, Shaorui Zhang, Weiqin Tang, et al.. (2010). A Crystalline Plasticity Finite Element Method for Simulation of the Plastic Deformation of AZ31 Magnesium Alloys. AIP conference proceedings. 826–832. 6 indexed citations
14.
Zhang, Shaorui, Yinghong Peng, Weiqin Tang, & Dayong Li. (2009). The polycrystalline plasticity due to slip and twinning during magnesium alloy forming. Acta Mechanica. 212(3-4). 293–303. 4 indexed citations
15.
Tang, Weiqin, Shaorui Zhang, Yinghong Peng, & Dayong Li. (2009). Simulation of magnesium alloy AZ31 sheet during cylindrical cup drawing with rate independent crystal plasticity finite element method. Computational Materials Science. 46(2). 393–399. 14 indexed citations
16.
Zhang, Shaorui, Yinghong Peng, Dayong Li, & Lijuan Hu. (2007). Analysis of BCC Sheet Metal Forming by Polycrystalline Plasticity method. AIP conference proceedings. 908. 747–752. 1 indexed citations
17.
Hu, Lijuan, et al.. (2007). Numerical analysis of influence of micro-parameters on macro-micromechanical properties of fiber reinforced metal matrix composites. Journal of Materials Processing Technology. 201(1-3). 736–741. 1 indexed citations
18.
Zhang, Shaorui. (2003). Study on Factors Affecting Springback and Application of Data Mining in Springback Analysis. 2 indexed citations
19.
Wang, Xungai, et al.. (2001). Mechanical Behavior of Irregular Fibers. Part II: Nonlinear Tensile Behavior. Textile Research Journal. 71(11). 939–942. 14 indexed citations
20.
Zhang, Shaorui, et al.. (2001). Mechanical Behavior of Irregular Fibers. Part I: Modeling the Tensile Behavior of Linear Elastic Fibers. Textile Research Journal. 71(6). 556–560. 14 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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