Jiewei Gao

473 total citations
26 papers, 354 citations indexed

About

Jiewei Gao is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Jiewei Gao has authored 26 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanics of Materials, 21 papers in Mechanical Engineering and 11 papers in Materials Chemistry. Recurrent topics in Jiewei Gao's work include Fatigue and fracture mechanics (16 papers), Surface Treatment and Residual Stress (5 papers) and Mechanical Failure Analysis and Simulation (5 papers). Jiewei Gao is often cited by papers focused on Fatigue and fracture mechanics (16 papers), Surface Treatment and Residual Stress (5 papers) and Mechanical Failure Analysis and Simulation (5 papers). Jiewei Gao collaborates with scholars based in China, Portugal and Poland. Jiewei Gao's co-authors include Shun‐Peng Zhu, Ding Liao, José A.F.O. Correia, Jin-Chao He, Qingyuan Wang, Guangze Dai, Grzegorz Lesiuk, Junwen Zhao, Abílio M.P. De Jesus and Wei Li and has published in prestigious journals such as Materials & Design, International Journal of Plasticity and Materials Chemistry and Physics.

In The Last Decade

Jiewei Gao

22 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiewei Gao China	11	251	250	134	50	40	26	354
Michal Bartošák Czechia	14	313 1.2×	374 1.5×	101 0.8×	53 1.1×	37 0.9×	26	412
Andrea Rovinelli United States	5	223 0.9×	242 1.0×	165 1.2×	44 0.9×	23 0.6×	11	380
Adam Bannister United Kingdom	11	211 0.8×	243 1.0×	94 0.7×	69 1.4×	28 0.7×	30	336
M. Anahid Iran	9	306 1.2×	211 0.8×	205 1.5×	61 1.2×	13 0.3×	18	438
Guoqin Sun China	10	213 0.8×	311 1.2×	73 0.5×	36 0.7×	70 1.8×	29	356
Karl-Fredrik Nilsson Netherlands	13	206 0.8×	220 0.9×	205 1.5×	54 1.1×	76 1.9×	31	374
Stephan Lambert Canada	9	409 1.6×	251 1.0×	131 1.0×	140 2.8×	15 0.4×	22	486
Iradj Sattari-Far Iran	13	256 1.0×	366 1.5×	84 0.6×	36 0.7×	31 0.8×	29	430
Molin Su China	12	158 0.6×	305 1.2×	71 0.5×	31 0.6×	64 1.6×	32	352

Countries citing papers authored by Jiewei Gao

Since Specialization

Citations

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

Fields of papers citing papers by Jiewei Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiewei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiewei Gao. A scholar is included among the top collaborators of Jiewei Gao 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 Jiewei Gao. Jiewei Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhao, Hai, et al.. (2025). Damage Tolerance Assessment of Heavy-Duty Freight Railway Axles with Artificial Defects. Chinese Journal of Mechanical Engineering. 38(1).

Zhao, Hui, et al.. (2025). A particle swarm optimization-physical information neural network for combined high and low cycle fatigue life prediction. Computational Materials Science. 260. 114212–114212.

Zhao, Hai, et al.. (2025). Fatigue performance evaluation of high-strength railway axles subjected to different surface defects. Alexandria Engineering Journal. 127. 66–74. 1 indexed citations

Gao, Jiewei, Junwen Zhao, Jin Liu, et al.. (2025). Ascertaining the microstructure and strengthening mechanisms of the 316L austenitic stainless steel fabricated by extreme high-speed laser cladding. Materials Characterization. 230. 115800–115800.

Gao, Jiewei, et al.. (2024). Fatigue behavior assessment of heavy-duty freight railway axles under different heat treatments. Engineering Failure Analysis. 164. 108654–108654. 1 indexed citations

Liao, Ding, Shun‐Peng Zhu, Jiewei Gao, et al.. (2024). Energy field intensity approach for probabilistic notch fatigue assessment under size effect. Chinese Journal of Aeronautics. 38(2). 103304–103304.

Gao, Jiewei, et al.. (2024). Influence of laminar plasma surface quenching on the microstructure and corrosion resistance of AISI 52100 bearing steel. Materials Letters. 372. 136954–136954. 1 indexed citations

Gao, Jiewei, et al.. (2024). Tribological Properties of AISI 52100 Bearing Steel under Different Sliding Distance and Normal Force Conditions. Journal of Materials Engineering and Performance. 34(6). 5081–5093. 2 indexed citations

He, Jin-Chao, Shun‐Peng Zhu, Jiewei Gao, et al.. (2023). Microstructural size effect on the notch fatigue behavior of a Ni-based superalloy using crystal plasticity modelling approach. International Journal of Plasticity. 172. 103857–103857. 58 indexed citations

10.

Liao, Ding, Jiewei Gao, Shun‐Peng Zhu, et al.. (2023). Fatigue behaviour of EA4T notched specimens: experiments and predictions using the theory of critical distance. Engineering Fracture Mechanics. 286. 109269–109269. 10 indexed citations

11.

Yu, Deping, et al.. (2023). Influence of Laminar Plasma Surface Quenching on the Tribological Properties of AISI 52100 Bearing Steel. Journal of Materials Engineering and Performance. 33(16). 7999–8014. 2 indexed citations

12.

Liao, Ding, Shun‐Peng Zhu, Jiewei Gao, et al.. (2023). Generalized strain energy density-based fatigue indicator parameter. International Journal of Mechanical Sciences. 254. 108427–108427. 18 indexed citations

13.

Zhao, Junwen, et al.. (2022). Galvanic Corrosion between Al‒Zn‒Mg‒Cu Alloy and Stainless Steel in the Salt-Spray Atmosphere. SSRN Electronic Journal. 3 indexed citations

14.

Zhao, Junwen, et al.. (2022). Galvanic corrosion between Al–Zn–Mg–Cu alloy and stainless steel in the salt-spray atmosphere. Materials Chemistry and Physics. 294. 127009–127009. 15 indexed citations

15.

Gao, Jiewei, et al.. (2022). Influence of induction hardening on the damage tolerance of EA4T railway axles. Engineering Failure Analysis. 143. 106916–106916. 8 indexed citations

16.

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

17.

Gao, Jiewei, et al.. (2021). Foreign object damage tolerance and fatigue analysis of induction hardened S38C axles. Materials & Design. 202. 109488–109488. 26 indexed citations

18.

He, Jin-Chao, Shun‐Peng Zhu, Ding Liao, et al.. (2020). Combined TCD and HSV approach for probabilistic assessment of notch fatigue considering size effect. Engineering Failure Analysis. 120. 105093–105093. 33 indexed citations

19.

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

20.

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

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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