Xuming Su

3.7k total citations
137 papers, 2.8k citations indexed

About

Xuming Su is a scholar working on Mechanical Engineering, Mechanics of Materials and Aerospace Engineering. According to data from OpenAlex, Xuming Su has authored 137 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Mechanical Engineering, 96 papers in Mechanics of Materials and 18 papers in Aerospace Engineering. Recurrent topics in Xuming Su's work include Mechanical Behavior of Composites (53 papers), Fatigue and fracture mechanics (28 papers) and Composite Material Mechanics (24 papers). Xuming Su is often cited by papers focused on Mechanical Behavior of Composites (53 papers), Fatigue and fracture mechanics (28 papers) and Composite Material Mechanics (24 papers). Xuming Su collaborates with scholars based in United States, China and Canada. Xuming Su's co-authors include Danielle Zeng, Guowei Zhou, Qingping Sun, Zhaoxu Meng, Hongtae Kang, Haiding Guo, Zhangxing Chen, Carlos Engler-Pinto, Li Huang and Dayong Li and has published in prestigious journals such as Materials Science and Engineering A, Computer Methods in Applied Mechanics and Engineering and Composites Science and Technology.

In The Last Decade

Xuming Su

131 papers receiving 2.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xuming Su 1.8k 1.7k 434 389 330 137 2.8k
Pierpaolo Carlone 1.2k 0.7× 2.3k 1.3× 282 0.6× 549 1.4× 350 1.1× 133 3.2k
A. Beukers 1.6k 0.9× 1.4k 0.8× 523 1.2× 582 1.5× 212 0.6× 95 2.6k
Μaik Gude 1.9k 1.1× 1.5k 0.9× 937 2.2× 729 1.9× 346 1.0× 315 3.3k
A. Langella 1.3k 0.7× 1.5k 0.9× 356 0.8× 786 2.0× 206 0.6× 144 2.4k
Tamer A. Sebaey 1.8k 1.0× 1.5k 0.9× 801 1.8× 1.0k 2.6× 464 1.4× 138 3.1k
J.D. Costa 2.5k 1.4× 2.9k 1.7× 621 1.4× 707 1.8× 719 2.2× 194 4.3k
José Humberto S. Almeida 1.3k 0.8× 1.0k 0.6× 638 1.5× 735 1.9× 146 0.4× 75 2.3k
Ben Wang 840 0.5× 937 0.5× 286 0.7× 439 1.1× 402 1.2× 104 1.9k
Jin‐Hwe Kweon 2.3k 1.3× 1.5k 0.9× 1.0k 2.4× 444 1.1× 225 0.7× 134 3.4k
Kay André Weidenmann 932 0.5× 1.2k 0.7× 181 0.4× 262 0.7× 397 1.2× 177 1.9k

Countries citing papers authored by Xuming Su

Since Specialization
Citations

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

Fields of papers citing papers by Xuming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuming Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xuming Su. A scholar is included among the top collaborators of Xuming Su 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 Xuming Su. Xuming Su 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
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Shi, Yandong, et al.. (2025). Effects of linear energy density on melt pool and microstructure of selective laser melted AlSi10Mg: An experimental and numerical study. Materials Today Communications. 43. 111703–111703. 1 indexed citations
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Shi, Yandong, et al.. (2025). Fabrication and Parameter Optimization of High-Melting-Point Pure Cr by Binder Jetting Additive Manufacturing. Crystals. 15(12). 1012–1012. 1 indexed citations
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Liu, Cai‐Ming, Weiqiu Chen, Liting Shi, et al.. (2024). Uniaxial and multiaxial cyclic deformation behavior prediction of Z2CN18.10 austenitic stainless steel based on Transformer deep learning method. International Journal of Fatigue. 186. 108389–108389. 3 indexed citations
7.
Ning, Huiming, Ning Hu, Youkun Gong, et al.. (2024). A 2-D fabric anisotropic hyperelastic constitutive model based on micromechanics analysis. International Journal of Mechanical Sciences. 282. 109560–109560. 3 indexed citations
8.
Liu, Cai‐Ming, et al.. (2023). Ratcheting-fatigue behavior and life prediction of Z2CN18.10 austenitic stainless steel elbow. International Journal of Pressure Vessels and Piping. 204. 104985–104985. 4 indexed citations
9.
Shi, Yandong, Cheng Luo, Wenkai Li, et al.. (2023). Fatigue properties of resistance spot‐welded maraging steel produced by selective laser melting. Fatigue & Fracture of Engineering Materials & Structures. 46(7). 2458–2472. 2 indexed citations
10.
Li, Ziang, et al.. (2021). Machine Learning Based Parameter Calibration for Multi-Scale Material Modeling of Laser Powder Bed Fusion (L-PBF) AlSi10Mg. SAE International Journal of Advances and Current Practices in Mobility. 3(4). 1526–1534.
11.
Sun, Qingping, Guowei Zhou, Haibin Tang, et al.. (2021). In-situ effect in cross-ply laminates under various loading conditions analyzed with hybrid macro/micro-scale computational models. Composite Structures. 261. 113592–113592. 13 indexed citations
12.
Sun, Qingping, Guowei Zhou, Haibin Tang, et al.. (2021). A combined experimental and computational analysis of failure mechanisms in open-hole cross-ply laminates under flexural loading. Composites Part B Engineering. 215. 108803–108803. 23 indexed citations
13.
Sun, Qingping, Guowei Zhou, Zhaoxu Meng, Mukesh Jain, & Xuming Su. (2020). An integrated computational materials engineering framework to analyze the failure behaviors of carbon fiber reinforced polymer composites for lightweight vehicle applications. Composites Science and Technology. 202. 108560–108560. 74 indexed citations
14.
Zhou, Guowei, Qingping Sun, Dayong Li, et al.. (2020). Meso-scale modeling and damage analysis of carbon/epoxy woven fabric composite under in-plane tension and compression loadings. International Journal of Mechanical Sciences. 190. 105980–105980. 76 indexed citations
15.
Wang, Kaifeng, Jingjing Li, Yang Li, et al.. (2019). Mechanical properties prediction of injection molded short/long carbon fiber reinforced polymer composites using micro X-ray computed tomography. Composites Part A Applied Science and Manufacturing. 130. 105732–105732. 26 indexed citations
16.
Pan, Jwo, et al.. (2018). Failure Mode and Fatigue Behavior of Flow Drill Screw Joints in Lap-Shear Specimens of Aluminum 6082-T6 Sheets of Different Thicknesses. SAE International Journal of Materials and Manufacturing. 11(4). 315–326. 8 indexed citations
17.
Hu, Ning, et al.. (2018). A stress-based model for fatigue life prediction of high density polyethylene under complicated loading conditions. International Journal of Fatigue. 119. 281–289. 20 indexed citations
18.
Liu, Haolong, Ziang Li, Carlos Engler-Pinto, et al.. (2018). Fatigue modeling for carbon/epoxy unidirectional composites under various stress ratios considering size effects. International Journal of Fatigue. 120. 184–200. 15 indexed citations
19.
Li, Lu, et al.. (2017). Frequency Effects on High-Density Polyethylene Failure under Cyclic Loading. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations
20.
Hill, David J., et al.. (2016). Fatigue durability assessment of automotive adhesive joints by an in situ corrosion fatigue test. Journal of Adhesion Science and Technology. 30(15). 1610–1621. 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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