Linwei Dang

657 total citations · 1 hit paper
17 papers, 477 citations indexed

About

Linwei Dang is a scholar working on Mechanical Engineering, Automotive Engineering and Polymers and Plastics. According to data from OpenAlex, Linwei Dang has authored 17 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 3 papers in Automotive Engineering and 3 papers in Polymers and Plastics. Recurrent topics in Linwei Dang's work include Additive Manufacturing Materials and Processes (10 papers), Welding Techniques and Residual Stresses (7 papers) and Cellular and Composite Structures (4 papers). Linwei Dang is often cited by papers focused on Additive Manufacturing Materials and Processes (10 papers), Welding Techniques and Residual Stresses (7 papers) and Cellular and Composite Structures (4 papers). Linwei Dang collaborates with scholars based in China, Italy and Singapore. Linwei Dang's co-authors include Dayong Hu, Zhiqiang Zhang, Bin Song, Yongzhen Wang, Xiaofan He, Yuhai Li, Bin Wu, Hao Xin, Yuhai Li and Zhixin Zhan and has published in prestigious journals such as Materials Science and Engineering A, Composites Part B Engineering and Composite Structures.

In The Last Decade

Linwei Dang

16 papers receiving 469 citations

Hit Papers

Energy-absorption characteristics of a bionic honeycomb t... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linwei Dang China 9 420 96 93 81 81 17 477
Hongyu Liang China 13 441 1.1× 76 0.8× 81 0.9× 70 0.9× 85 1.0× 35 504
Ruyang Yao China 11 529 1.3× 95 1.0× 107 1.2× 77 1.0× 103 1.3× 14 590
Yinghan Wu China 7 486 1.2× 171 1.8× 242 2.6× 48 0.6× 82 1.0× 7 586
Tengteng Chen China 7 642 1.5× 131 1.4× 124 1.3× 81 1.0× 91 1.1× 8 692
Hailun Tan China 7 474 1.1× 101 1.1× 97 1.0× 86 1.1× 79 1.0× 14 570
Chukwuemeke William Isaac Poland 11 366 0.9× 129 1.3× 111 1.2× 121 1.5× 63 0.8× 17 487
Shangan Qin China 10 537 1.3× 61 0.6× 58 0.6× 41 0.5× 86 1.1× 10 556
Yuntong Du China 10 385 0.9× 99 1.0× 158 1.7× 54 0.7× 48 0.6× 13 467
M.A. Kader Australia 11 404 1.0× 117 1.2× 77 0.8× 78 1.0× 190 2.3× 16 467
Zhenqiong Lin China 6 516 1.2× 113 1.2× 71 0.8× 37 0.5× 70 0.9× 7 538

Countries citing papers authored by Linwei Dang

Since Specialization
Citations

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

Fields of papers citing papers by Linwei Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linwei Dang

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

All Works

17 of 17 papers shown
2.
Wang, Jinyu, et al.. (2025). Insertion of high-R cycles into random load spectra as fractographic markers. International Journal of Fatigue. 198. 109001–109001. 1 indexed citations
3.
Dang, Linwei, et al.. (2025). A fatigue life prediction framework of laser-directed energy deposition Ti-6Al-4V based on physics-informed neural network. International Journal of Structural Integrity. 16(2). 327–354. 4 indexed citations
4.
Xin, Hao, et al.. (2025). Fatigue failure mechanisms and life prediction of additive manufactured metallic lattices: a comprehensive review. Virtual and Physical Prototyping. 20(1). 8 indexed citations
5.
Wu, Bin, et al.. (2024). Characterization of fatigue crack growth in directed energy deposited Ti-6Al-4V by marker load method. Engineering Fracture Mechanics. 310. 110500–110500. 1 indexed citations
6.
Dang, Linwei, Xiaofan He, Hao Xin, et al.. (2024). Pore-induced fatigue failure: A prior progressive fatigue life prediction framework of laser-directed energy deposition Ti-6Al-4V based on machine learning. Theoretical and Applied Fracture Mechanics. 130. 104276–104276. 8 indexed citations
7.
Wu, Bin, et al.. (2024). A fatigue life prediction approach for porosity defect-induced failures in directed energy deposited Ti-6Al-4V considering crack growth environment. International Journal of Fatigue. 184. 108272–108272. 11 indexed citations
8.
Dang, Linwei, et al.. (2023). A fatigue life posterior analysis approach for laser-directed energy deposition Ti-6Al-4V alloy based on pore-induced failures by kernel ridge. Engineering Fracture Mechanics. 289. 109433–109433. 12 indexed citations
9.
Dang, Linwei, Xiaofan He, Hao Xin, et al.. (2023). Pore-induced fatigue failure: Critical pore criterion for Ti-6Al-4V alloy manufactured by laser-directed energy deposition. Theoretical and Applied Fracture Mechanics. 129. 104204–104204. 8 indexed citations
10.
He, Xiaofan, et al.. (2023). Anisotropic fatigue performance of directed energy deposited Ti-6Al-4V: Effects of build orientation. Materials Science and Engineering A. 876. 145112–145112. 21 indexed citations
11.
Zhan, Zhixin, et al.. (2023). Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling. Fatigue & Fracture of Engineering Materials & Structures. 46(12). 4425–4464. 23 indexed citations
12.
Dang, Linwei, et al.. (2022). A fatigue life prediction approach for laser-directed energy deposition titanium alloys by using support vector regression based on pore-induced failures. International Journal of Fatigue. 159. 106748–106748. 56 indexed citations
13.
Hu, Dayong, Linwei Dang, Chong Zhang, & Zhiqiang Zhang. (2019). Mechanical Behaviors of Flax Fiber-Reinforced Composites at Different Strain Rates and Rate-Dependent Constitutive Model. Materials. 12(6). 854–854. 15 indexed citations
14.
Hu, Dayong, Bin Song, Linwei Dang, & Zhiqiang Zhang. (2018). Effect of strain rate on mechanical properties of the bamboo material under quasi-static and dynamic loading condition. Composite Structures. 200. 635–646. 45 indexed citations
15.
Hu, Dayong, Yongzhen Wang, Linwei Dang, & Qiang Pan. (2018). Energy absorption characteristics of composite tubes with different fibers and matrix under axial quasi-static and impact crushing conditions. Journal of Mechanical Science and Technology. 32(6). 2587–2599. 15 indexed citations
16.
Hu, Dayong, Yongzhen Wang, Bin Song, Linwei Dang, & Zhiqiang Zhang. (2018). Energy-absorption characteristics of a bionic honeycomb tubular nested structure inspired by bamboo under axial crushing. Composites Part B Engineering. 162. 21–32. 248 indexed citations breakdown →
17.
Xue, Juanqin, et al.. (2014). Effect of electrospark deposited surface layers on bond strength of titanium–porcelain. Materials Science and Technology. 31(2). 248–253. 1 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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