Xiaoguang Zhou

598 total citations
42 papers, 461 citations indexed

About

Xiaoguang Zhou is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Xiaoguang Zhou has authored 42 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanical Engineering, 28 papers in Mechanics of Materials and 21 papers in Materials Chemistry. Recurrent topics in Xiaoguang Zhou's work include Microstructure and Mechanical Properties of Steels (29 papers), Metallurgy and Material Forming (25 papers) and Metal Alloys Wear and Properties (11 papers). Xiaoguang Zhou is often cited by papers focused on Microstructure and Mechanical Properties of Steels (29 papers), Metallurgy and Material Forming (25 papers) and Metal Alloys Wear and Properties (11 papers). Xiaoguang Zhou collaborates with scholars based in China, Sweden and Mexico. Xiaoguang Zhou's co-authors include Zhenyu Liu, Guangming Cao, Siwei Wu, Timing Zhang, Hua Ai, Guodong Wang, Weimin Zhao, Haofeng Xing, Xiaonan Gong and Haifeng Fu and has published in prestigious journals such as Materials Science and Engineering A, Optics Express and Corrosion Science.

In The Last Decade

Xiaoguang Zhou

40 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoguang Zhou China 12 269 187 180 117 91 42 461
Pritam Chakraborty India 15 264 1.0× 328 1.8× 295 1.6× 25 0.2× 31 0.3× 47 567
R. Keith Bird United States 10 311 1.2× 206 1.1× 138 0.8× 38 0.3× 71 0.8× 25 541
Adrian Loghin United States 9 222 0.8× 103 0.6× 287 1.6× 19 0.2× 121 1.3× 22 431
Suvi Santa-aho Finland 14 599 2.2× 77 0.4× 99 0.6× 41 0.4× 42 0.5× 44 695
R. Fritz Austria 11 188 0.7× 176 0.9× 142 0.8× 14 0.1× 52 0.6× 15 388
Huan Li China 15 539 2.0× 121 0.6× 91 0.5× 50 0.4× 18 0.2× 51 770
L. Wang United Kingdom 12 558 2.1× 317 1.7× 471 2.6× 131 1.1× 17 0.2× 18 739
Jari Larkiola Finland 13 436 1.6× 170 0.9× 225 1.3× 51 0.4× 58 0.6× 58 530

Countries citing papers authored by Xiaoguang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoguang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoguang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoguang Zhou. A scholar is included among the top collaborators of Xiaoguang Zhou 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 Xiaoguang Zhou. Xiaoguang Zhou 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.
Zhang, Chengde, Shuai Tang, Siwei Wu, et al.. (2025). Machine learning to predict phase transformation products and their morphologies – Application in design of lean high strength steel. Materials & Design. 258. 114642–114642. 1 indexed citations
3.
Gao, Zhiwei, et al.. (2025). Modelling strain-induced precipitation kinetics of Nb (C, N) by symbolic regression machine learning. Journal of Materials Research and Technology. 35. 1712–1721. 1 indexed citations
4.
Cao, Yang, Siwei Wu, Shuai Tang, et al.. (2024). Dynamic Deep Learning to Predict Mechanical Properties of High-Strength Low-Alloy Steels. Metallurgical and Materials Transactions A. 56(1). 168–179. 2 indexed citations
5.
Zhou, Xiaoguang, et al.. (2023). Modeling the Double-Pass Flow Curve of Nb Micro-Alloyed Steel by Machine Learning and its Extrapolation to Static Softening Kinetics. Journal of Materials Engineering and Performance. 33(7). 3669–3679. 4 indexed citations
6.
Zhou, Xiaoguang, Xin Li, Caiyou Zeng, Siwei Wu, & Zhenyu Liu. (2023). Austenite Grain Growth and its Equation in the Austenitizing Process for 700 MPa Grade High-Strength Steel. Transactions of the Indian Institute of Metals. 76(11). 3115–3125. 1 indexed citations
7.
8.
Li, Xin, et al.. (2021). Machine Learning Hot Deformation Behavior of Nb Micro-alloyed Steels and Its Extrapolation to Dynamic Recrystallization Kinetics. Metallurgical and Materials Transactions A. 52(7). 3171–3181. 11 indexed citations
9.
Zhang, Pengyan, Chi Zhang, Xiaoguang Zhou, & Zhenyi Huang. (2021). Reductions of Intergranular Corrosion Resistance and Wear Resistance in a Ni-Cr-Mo-Based Superalloy by Aging-Treatment-Induced Precipitation. Metals. 11(8). 1329–1329. 1 indexed citations
10.
Zhang, Chi, et al.. (2020). Crystal Plasticity Analysis of the Relation between Micro‐Texture and Surface Ridging for a 21%Cr Ferritic Stainless Steel. steel research international. 91(10). 13 indexed citations
11.
Zhang, Chi, et al.. (2020). Crystal Plasticity Analysis of the Relation between Micro‐Texture and Surface Ridging for a 21%Cr Ferritic Stainless Steel. steel research international. 91(10). 4 indexed citations
12.
Zhou, Xiaoguang, et al.. (2020). An Innovative Method for Conventional Triaxial Tests of Concrete: Applications of PVC Pipes as a Mould and Sealing Membrane. Advances in Civil Engineering. 2020(1). 1 indexed citations
13.
Zhou, Xiaoguang, et al.. (2019). A research study of the impact testing of stainless steel reinforced concrete piers with different reinforcement ratios. Journal of the South African Institution of Civil Engineering. 61(1).
14.
Wu, Siwei, Zhenyu Liu, Xiaoguang Zhou, Hao Yang, & Guodong Wang. (2017). Precipitation behavior of Ti in high strength steels. Journal of Central South University. 24(12). 2767–2772. 10 indexed citations
15.
Wu, Siwei, et al.. (2017). High Dimensional Data-driven Optimal Design for Hot Strip Rolling of C–Mn Steels. ISIJ International. 57(7). 1213–1220. 23 indexed citations
16.
Zhao, Weimin, et al.. (2011). Effects of strain on the corrosion behaviour of X80 steel. Corrosion Science. 53(9). 2761–2766. 90 indexed citations
17.
Zhou, Xiaoguang, et al.. (2008). Modeling of Strain-Induced Precipitation Kinetics and Evolution of Austenite Grains in Nb Microalloyed Steels. Journal of Iron and Steel Research International. 15(3). 65–69. 6 indexed citations
18.
Hepburn, D.M., et al.. (2006). Discrepancies of PD Patterns from a Fixed Metal Object on Oil-Paper Insulation. 11. 362–365. 2 indexed citations
19.
Xing, Haofeng, Xiaonan Gong, Xiaoguang Zhou, & Haifeng Fu. (2006). Construction of Concrete-Faced Rockfill Dams with Weak Rocks. Journal of Geotechnical and Geoenvironmental Engineering. 132(6). 778–785. 50 indexed citations
20.
Nesbitt, A., et al.. (2005). Time varying characteristics of phi-q-n patterns from natural voids in resin. 2005. v1–99. 3 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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