Yanan Hu

1.5k total citations
44 papers, 1.1k citations indexed

About

Yanan Hu is a scholar working on Mechanical Engineering, Mechanics of Materials and Automotive Engineering. According to data from OpenAlex, Yanan Hu has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanical Engineering, 22 papers in Mechanics of Materials and 9 papers in Automotive Engineering. Recurrent topics in Yanan Hu's work include Additive Manufacturing Materials and Processes (12 papers), Fatigue and fracture mechanics (10 papers) and Welding Techniques and Residual Stresses (9 papers). Yanan Hu is often cited by papers focused on Additive Manufacturing Materials and Processes (12 papers), Fatigue and fracture mechanics (10 papers) and Welding Techniques and Residual Stresses (9 papers). Yanan Hu collaborates with scholars based in China, United Kingdom and Australia. Yanan Hu's co-authors include Shengchuan Wu, Philip J. Withers, Bin Wu, Cunfu He, Zenghua Liu, Junwei Fan, Zhixin Zhan, Cheng Xie, Guozheng Kang and Zhao Shen and has published in prestigious journals such as Nature Communications, Acta Materialia and Small.

In The Last Decade

Yanan Hu

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanan Hu China 17 978 529 199 190 131 44 1.1k
F. Roger France 17 557 0.6× 276 0.5× 157 0.8× 105 0.6× 82 0.6× 29 879
Yashar Javadi United Kingdom 23 1.2k 1.2× 693 1.3× 67 0.3× 88 0.5× 49 0.4× 62 1.3k
Shurong Yu China 19 811 0.8× 239 0.5× 114 0.6× 391 2.1× 86 0.7× 68 984
Waqas Muhammad Canada 21 952 1.0× 408 0.8× 298 1.5× 447 2.4× 143 1.1× 41 1.2k
Wenbo Qin China 21 814 0.8× 384 0.7× 99 0.5× 613 3.2× 101 0.8× 51 1.1k
Richard Moat United Kingdom 22 1.4k 1.4× 303 0.6× 276 1.4× 566 3.0× 153 1.2× 60 1.6k
M. Hertel Germany 14 531 0.5× 273 0.5× 226 1.1× 64 0.3× 71 0.5× 30 847
Jörg Hermsdorf Germany 18 920 0.9× 189 0.4× 266 1.3× 159 0.8× 134 1.0× 151 1.2k
Onome Scott‐Emuakpor United States 18 781 0.8× 431 0.8× 319 1.6× 233 1.2× 38 0.3× 106 1.0k
Américo Scotti Brazil 21 1.7k 1.8× 310 0.6× 502 2.5× 228 1.2× 139 1.1× 127 1.8k

Countries citing papers authored by Yanan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yanan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanan Hu. A scholar is included among the top collaborators of Yanan Hu 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 Yanan Hu. Yanan Hu 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.
Xu, Xiang, Zhenghong Fu, Yanan Hu, et al.. (2025). Whole-life ratchetting of U71Mn rail steel with pre-corrosion damage: Experiments and constitutive modeling. Corrosion Science. 256. 113177–113177.
2.
Zhang, Xin, Yanan Hu, Chao Zhu, et al.. (2025). Adaptive transformer modelling of density function for nonparametric survival analysis. Machine Learning. 114(2).
3.
Zhang, Zhiyuan, Yanan Hu, Zihao Li, et al.. (2025). Localized Surface Plasmon Resonance‐Enhanced SiC UV Photodetectors Based on Ordered Al/Al 2 O 3 Core–Shell Nanoparticle Arrays. Small. 22(12). e2502011–e2502011.
4.
Hu, Yanan, et al.. (2025). Influence of build direction and loading rate on the cyclic deformation of laser additively manufactured Ti6Al4V alloy. Engineering Failure Analysis. 171. 109367–109367. 5 indexed citations
5.
Lin, Ying, Weijian Qian, Liming Lei, et al.. (2025). Structural integrity issues of composite materials and structures in future transportation equipment. Composite Structures. 358. 118943–118943. 10 indexed citations
6.
Hu, Yanan, et al.. (2024). Machine learning based prediction models for uniaxial ratchetting of extruded AZ31 magnesium alloy. Extreme Mechanics Letters. 70. 102193–102193. 3 indexed citations
7.
Hu, Yanan, et al.. (2024). Influence of build direction on the ratchetting-fatigue interaction of heat-treated additively manufactured 316L stainless steel. International Journal of Fatigue. 181. 108143–108143. 10 indexed citations
8.
Fu, Zhenghong, et al.. (2024). Low-cycle fatigue behavior of U71Mn rail steel with pre-corrosion. Engineering Failure Analysis. 168. 109118–109118. 6 indexed citations
9.
Hu, Yanan, et al.. (2024). A cGAN-based fatigue life prediction of 316 austenitic stainless steel in high-temperature and high-pressure water environments. International Journal of Fatigue. 190. 108633–108633. 9 indexed citations
10.
Wu, Zhengkai, Shengchuan Wu, Jamie J. Kruzic, et al.. (2024). Critical damage events of 3D printed AlSi10Mg alloy via in situ synchrotron X-ray tomography. Acta Materialia. 282. 120464–120464. 33 indexed citations
11.
Hu, Yanan, Shengchuan Wu, Ziyi Wang, et al.. (2024). Void nucleation and growth behavior of TIG welded AA2219 deformed at cryogenic temperatures. International Journal of Mechanical Sciences. 274. 109221–109221. 14 indexed citations
12.
Hu, Yanan, et al.. (2024). Physics-informed machine learning for low-cycle fatigue life prediction of 316 stainless steels. International Journal of Fatigue. 182. 108187–108187. 42 indexed citations
13.
14.
Chen, Fu‐Rong, et al.. (2023). Effect of interlayer coating La2O3 particles on arc behavior and microstructure of wire arc additive manufacturing Al-Si alloy deposition. Journal of Manufacturing Processes. 101. 943–958. 16 indexed citations
15.
Chen, Fu‐Rong, et al.. (2023). Effect of coating submicron-sized La2O3 particles on regulating grain structure and mechanical properties of 6061 aluminum alloy CMT welded joints. Materials Today Communications. 38. 107764–107764. 3 indexed citations
16.
Hu, Yanan, Shengchuan Wu, Yi Guo, et al.. (2022). Inhibiting weld cracking in high-strength aluminium alloys. Nature Communications. 13(1). 5816–5816. 92 indexed citations
17.
Hu, Yanan, et al.. (2021). Fatigue life evaluation of Ti–6Al–4V welded joints manufactured by electron beam melting. Fatigue & Fracture of Engineering Materials & Structures. 44(8). 2210–2221. 46 indexed citations
18.
Wu, Bin, et al.. (2019). Quantitative evaluation of through-thickness rectangular notch in metal plates based on lamb waves. STRUCTURAL ENGINEERING AND MECHANICS. 71(6). 751–761. 2 indexed citations
19.
Wu, Shengchuan, et al.. (2018). The Influence of Metallurgical Pores on Fatigue Behaviors of Fusion Welded AA7020 Joints. Acta Metallurgica Sinica. 54(8). 1131–1140. 7 indexed citations
20.
Guo, Pan, Shengli Li, Chaoqun Wang, Yanan Hu, & Dongwei Wang. (2017). Influence of catwalk design parameters on the galloping of constructing main cables in long-span suspension bridges. Journal of Vibroengineering. 19(6). 4671–4684. 9 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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