Guangze Dai

665 total citations
26 papers, 554 citations indexed

About

Guangze Dai is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Guangze Dai has authored 26 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 15 papers in Materials Chemistry and 14 papers in Mechanics of Materials. Recurrent topics in Guangze Dai's work include Fatigue and fracture mechanics (7 papers), Metal Alloys Wear and Properties (6 papers) and Microstructure and Mechanical Properties of Steels (4 papers). Guangze Dai is often cited by papers focused on Fatigue and fracture mechanics (7 papers), Metal Alloys Wear and Properties (6 papers) and Microstructure and Mechanical Properties of Steels (4 papers). Guangze Dai collaborates with scholars based in China, Japan and Spain. Guangze Dai's co-authors include Qing‐Qing Ni, Chunsheng Zhang, Yaqin Fu, Teruo Kimura, Junwen Zhao, Jinxiang Chen, Masaharu Iwamoto, Jiewei Gao, Qiuze Li and Chao Zhang and has published in prestigious journals such as Materials Science and Engineering A, Applied Surface Science and Journal of Materials Processing Technology.

In The Last Decade

Guangze Dai

26 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangze Dai China 13 242 227 192 149 88 26 554
Limin Bao Japan 15 317 1.3× 118 0.5× 217 1.1× 221 1.5× 110 1.3× 79 681
Zhibin Zhang China 9 176 0.7× 138 0.6× 82 0.4× 83 0.6× 187 2.1× 10 620
Xinnan Wang United States 15 205 0.8× 271 1.2× 112 0.6× 164 1.1× 246 2.8× 41 870
Xianghao Meng China 11 132 0.5× 112 0.5× 85 0.4× 111 0.7× 130 1.5× 19 443
Na Lu United States 8 79 0.3× 64 0.3× 384 2.0× 67 0.4× 82 0.9× 14 563
Ken Kurashiki Japan 10 79 0.3× 82 0.4× 118 0.6× 117 0.8× 96 1.1× 19 413
Rita C. M. Sales-Contini Brazil 15 344 1.4× 97 0.4× 108 0.6× 280 1.9× 128 1.5× 79 608
Reza Rizvi Canada 14 74 0.3× 123 0.5× 248 1.3× 60 0.4× 198 2.3× 38 617
Xuming Yao China 11 445 1.8× 381 1.7× 148 0.8× 219 1.5× 120 1.4× 23 752
Minglonghai Zhang Hong Kong 13 286 1.2× 103 0.5× 181 0.9× 52 0.3× 168 1.9× 19 647

Countries citing papers authored by Guangze Dai

Since Specialization
Citations

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

Fields of papers citing papers by Guangze Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangze Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Guangze Dai. A scholar is included among the top collaborators of Guangze Dai 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 Guangze Dai. Guangze Dai 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.
Shao, Ling, et al.. (2023). Nitric acid oxidation and urea modification of carbon fibres as biofilm carriers. Environmental Technology. 45(18). 3600–3611. 1 indexed citations
2.
Wang, Shaojie, et al.. (2021). Effect of pre-corrosion on the fatigue fracture behavior of ER8 wheel steel. Materials Express. 11(5). 766–772. 1 indexed citations
3.
Gao, Jiewei, Guangze Dai, Qiuze Li, et al.. (2021). Fatigue assessment of EA4T railway axles under artificial surface damage. International Journal of Fatigue. 146. 106157–106157. 36 indexed citations
4.
Gao, Jiewei, et al.. (2020). Influence of artificial defects on fatigue strength of induction hardened S38C axles. International Journal of Fatigue. 139. 105746–105746. 31 indexed citations
5.
Zhang, Qingsong, et al.. (2020). Influence of laminar plasma quenching on rolling contact fatigue behaviour of high-speed railway wheel steel. International Journal of Fatigue. 137. 105668–105668. 26 indexed citations
6.
Zhu, Zhenyu, Yilin Zhu, Guangze Dai, & Qingyuan Wang. (2019). Microstructural evolution of strain rate related tensile elastic prestrain on the high-cycle fatigue in medium-carbon steel. Materials Science and Engineering A. 764. 138224–138224. 10 indexed citations
7.
Zhang, Qingsong, et al.. (2019). Tension-shear multiaxial fatigue damage behavior of high-speed railway wheel rim steel. International Journal of Fatigue. 133. 105416–105416. 13 indexed citations
8.
Han, Jing, et al.. (2018). Effect of Low Temperature on Mechanical Properties of ER8 Steel for Wheel Rim. Cailiao yanjiu xuebao. 32(6). 401–408. 5 indexed citations
9.
Zhang, Chao, et al.. (2018). Optimizing carbon fibre supports for bioreactors by nitric acid oxidation and calcium ion coverage according to extended DLVO theory. Environmental Technology. 41(1). 86–99. 7 indexed citations
10.
Zhang, Lei, et al.. (2018). Achieving Excellent Strength–Ductility and Impact Toughness Combination by Cyclic Quenching in Medium Mn TRIP-Aided Steel. Journal of Materials Engineering and Performance. 27(11). 5769–5777. 5 indexed citations
11.
Xu, Chao, et al.. (2017). Effects of injection velocity on microstructure, porosity and mechanical properties of a rheo-diecast Al-Zn-Mg-Cu aluminum alloy. Journal of Materials Processing Technology. 249. 167–171. 28 indexed citations
12.
Dai, Guangze, et al.. (2017). Carbon nanotubes/carbon fiber hybrid material: a super support material for sludge biofilms. Environmental Technology. 39(16). 2105–2116. 7 indexed citations
13.
Zhu, Zhenyu, Guangze Dai, Junwen Zhao, et al.. (2016). Effects of tensile elastic pre-deformation at different strain rates on the high-cycle fatigue behavior of SAE 1050 steel and fatigue life prediction. Journal of materials research/Pratt's guide to venture capital sources. 31(18). 2825–2837. 4 indexed citations
14.
Zhang, Qingsong, Zhenyu Zhu, Jiewei Gao, et al.. (2016). Effect of Anisotropy and Off-Axis Loading on Fatigue Property of 1050 Wheel Steel. Acta Metallurgica Sinica. 53(3). 307–315. 4 indexed citations
15.
Zhao, Junwen, et al.. (2016). Microstructure and properties of rheo-diecasting wrought aluminum alloy with Sc additions. Materials Letters. 173. 22–25. 18 indexed citations
16.
Zhu, Zhenyu, Guodong Li, Guangze Dai, et al.. (2016). Mechanisms and new parameter attribute reduction of high-speed railway wheel rim steel subjected to low temperature fatigue. Materials Science and Engineering A. 673. 476–491. 15 indexed citations
17.
Gao, Jiewei, et al.. (2015). Influence of Indentation on the Fatigue Strength of Carbonitrided Plain Steel. Advances in Materials Science and Engineering. 2015. 1–9. 2 indexed citations
18.
Dai, Guangze, et al.. (2013). Time-Gradient Nitric Acid Modification of CF Biofilm-Carrier and Surface Nature Effects on Microorganism Immobilization Behavior in Wastewater. Biotechnology & Biotechnological Equipment. 27(4). 3918–3922. 24 indexed citations
19.
Chen, Jinxiang, et al.. (2007). Basic study of biomimetic composite materials in the forewings of beetles. Materials Science and Engineering A. 483-484. 625–628. 22 indexed citations
20.
Ni, Qing‐Qing, Chunsheng Zhang, Yaqin Fu, Guangze Dai, & Teruo Kimura. (2006). Shape memory effect and mechanical properties of carbon nanotube/shape memory polymer nanocomposites. Composite Structures. 81(2). 176–184. 193 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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