Hongwei Yan

1.1k total citations
60 papers, 737 citations indexed

About

Hongwei Yan is a scholar working on Aerospace Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Hongwei Yan has authored 60 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Aerospace Engineering, 44 papers in Mechanical Engineering and 27 papers in Materials Chemistry. Recurrent topics in Hongwei Yan's work include Aluminum Alloy Microstructure Properties (33 papers), Aluminum Alloys Composites Properties (28 papers) and Microstructure and mechanical properties (25 papers). Hongwei Yan is often cited by papers focused on Aluminum Alloy Microstructure Properties (33 papers), Aluminum Alloys Composites Properties (28 papers) and Microstructure and mechanical properties (25 papers). Hongwei Yan collaborates with scholars based in China, Singapore and United States. Hongwei Yan's co-authors include Baiqing Xiong, Xiwu Li, Yongan Zhang, Zhihui Li, Lizhen Yan, Shuhui Huang, Kai Wen, Hongwei Liu, Yongan Zhang and Yiping Lu and has published in prestigious journals such as Nature Communications, Bioinformatics and Optics Letters.

In The Last Decade

Hongwei Yan

59 papers receiving 729 citations

Peers

Hongwei Yan

BIOMA

Dejing Zhou China

Wu Wei China

Z.J. Zhang China

Naveen Manhar Chavan India

Lu Feng China

Richard A. Michi United States

C.H. Liu China

Zhiming Du China

Wang Qiang China

Xiangqing Wu China

Dejing Zhou China

Hongwei Yan

539 ×0.9

335 ×0.6

313 ×1.0

88 ×0.7

25 ×0.8

BIOMA

Citations per year, relative to Hongwei Yan Hongwei Yan (= 1×) peers Dejing Zhou

Countries citing papers authored by Hongwei Yan

Since Specialization

Citations

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

Fields of papers citing papers by Hongwei Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Yan. A scholar is included among the top collaborators of Hongwei Yan 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 Hongwei Yan. Hongwei Yan 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

Wang, Qing, Kai Wen, K. J. Zhu, et al.. (2025). Investigation on the quench sensitivity during isothermal treatment of a high Mg-containing Al–Mg–Zn–Si alloy. Journal of Materials Research and Technology. 36. 1440–1450.

Yan, Hongwei, et al.. (2025). Modeling and analysis between texture evolution and mechanical properties of ZK60 magnesium alloy based on artificial neural network. Materials Today Communications. 44. 112150–112150. 1 indexed citations

Li, Shenglong, Rui Liu, Hongwei Yan, et al.. (2024). Machine Learning Phase Prediction of Light-Weight High-Entropy Alloys Containing Aluminum, Magnesium, and Lithium. Metals. 14(4). 400–400. 5 indexed citations

He, Meiling, Yuling Liu, Xiwu Li, et al.. (2024). Effect of grain orientation distribution on the mechanical properties of Al-7.02Mg-1.78Zn alloys. Multidiscipline Modeling in Materials and Structures. 20(4). 746–759. 2 indexed citations

Sun, Peng, Yu‐Sheng Huang, Ya Li, et al.. (2024). Effect of heat treatment on microstructure evolution, strengthening mechanisms and mechanical properties of Zn modified Al–Mg alloys with Sc and Zr additions. Materials Science and Engineering A. 896. 146206–146206. 18 indexed citations

Xiao, Wei, Xiwu Li, Kai Wen, et al.. (2024). The Influence of Aging Precipitates on the Mechanical Properties of Al–Li Alloys and Microstructural Analysis. Metals. 14(5). 506–506. 2 indexed citations

Yan, Hongwei, Yongan Zhang, Rui Liu, et al.. (2024). Experimental and DFT Investigations of AlNbTiVZr High Entropy Alloys with Excellent Mechanical Properties. Acta Metallurgica Sinica (English Letters). 37(9). 1480–1490. 3 indexed citations

Yan, Hongwei, et al.. (2023). Strength–ductility balance optimization of Fe2NiCr0.5Cu0.2Al0.3Ti0.1 multicomponent alloy via doping trace amounts of boron. Journal of Materials Science. 58(16). 7106–7118. 2 indexed citations

Zhang, Huanzhi, Zhenbo Zhu, Hefei Huang, et al.. (2023). Microstructures, mechanical properties, and irradiation tolerance of the Ti–Zr–Nb–V–Mo refractory high-entropy alloys. Intermetallics. 157. 107873–107873. 29 indexed citations

10.

Amar, Abdukadir, Mingliang Wang, Lingkun Zhang, et al.. (2023). Additive manufacturing of VCoNi medium-entropy alloy: Microstructure evolution and mechanical properties. Additive manufacturing. 68. 103522–103522. 35 indexed citations

11.

Zhu, Zhichao, Mingliang Wang, Tao He, et al.. (2023). Ultrastrong High‐Ductility Ni₃₅Co₃₅Fe₁₀Al₁₀Ti₈B₂ High‐Entropy Alloy Strengthened with Super‐High Concentration L1₂ Precipitates. Advanced Engineering Materials. 25(20). 5 indexed citations

12.

Sun, Peng, Ya Li, Xiwu Li, et al.. (2023). Effect of Zn/Mg ratio on aging precipitates and mechanical property of high Mg content Al-Mg-Zn alloys with Sc and Zr additions. Journal of Alloys and Compounds. 976. 173368–173368. 22 indexed citations

13.

Duchamp, Martial, et al.. (2023). Dynamics of the fcc-to-bcc phase transition in single-crystalline PdCu alloy nanoparticles. Nature Communications. 14(1). 104–104. 28 indexed citations

14.

Li, Yang, Yanan Li, Xiwu Li, et al.. (2023). Influence of Material Removal Strategy on Machining Deformation of Aluminum Plates with Asymmetric Residual Stresses. Materials. 16(5). 2033–2033. 7 indexed citations

15.

Zhang, Xu, Lizhen Yan, Zhihui Li, et al.. (2023). Effects of Cu Addition on Age Hardening Behavior and Mechanical Properties of High-Strength Al-1.2Mg-1.2Si Alloy. Materials. 16(8). 3126–3126. 9 indexed citations

16.

Zhang, Lingkun, Abdukadir Amar, Mengyuan Zhang, et al.. (2023). Enhanced strength-ductility synergy in a brittle CoCrNi2(V3B2Si)0.2 eutectic high-entropy alloy by spheroidized M3B2 and recrystallized FCC. Science China Materials. 66(11). 4197–4206. 9 indexed citations

17.

Li, Xiwu, Hongwei Yan, Yanan Li, et al.. (2023). Constitutive Analysis and Microstructure Characteristics of As-Homogenized 2198 Al–Li Alloy under Different Hot Compression Deformation Conditions. Materials. 16(7). 2660–2660. 2 indexed citations

18.

Li, Zhihui, Lizhen Yan, Xiwu Li, et al.. (2020). Transformation behavior of precipitates during artificial aging at 170 °C in Al–Mg–Si–Cu alloys with and without Zn addition. Rare Metals. 40(7). 1907–1914. 3 indexed citations

19.

Li, Xiwu, Lizhen Yan, Zhihui Li, et al.. (2019). Microstructure characterization of as-cast Al–Mg–Si alloys with high content Li element addition. Materials Research Express. 6(11). 1165e5–1165e5. 2 indexed citations

20.

Yan, Hongwei, et al.. (2019). Compression of Phylogenetic Networks and Algorithm for the Tree Containment Problem. Journal of Computational Biology. 26(3). 285–294. 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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