Yaochen Lin

803 total citations
37 papers, 574 citations indexed

About

Yaochen Lin is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Yaochen Lin has authored 37 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 15 papers in Mechanics of Materials and 13 papers in Computational Mechanics. Recurrent topics in Yaochen Lin's work include Metal Forming Simulation Techniques (17 papers), Metallurgy and Material Forming (13 papers) and Laser and Thermal Forming Techniques (9 papers). Yaochen Lin is often cited by papers focused on Metal Forming Simulation Techniques (17 papers), Metallurgy and Material Forming (13 papers) and Laser and Thermal Forming Techniques (9 papers). Yaochen Lin collaborates with scholars based in China, France and United Kingdom. Yaochen Lin's co-authors include Shuyou Zhang, Zili Wang, Jianrong Tan, Zili Wang, Frédéric Dubois, A. Daoudi, R. Douali, Le Wang, Mengyu Fu and Xiaojian Liu and has published in prestigious journals such as ACS Applied Materials & Interfaces, Expert Systems with Applications and RSC Advances.

In The Last Decade

Yaochen Lin

32 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaochen Lin China 16 293 179 117 112 106 37 574
Peiqi Liu China 16 172 0.6× 131 0.7× 57 0.5× 100 0.9× 37 0.3× 60 613
Kazumi MATSUI Japan 10 296 1.0× 451 2.5× 150 1.3× 81 0.7× 62 0.6× 45 935
Valery Rudnev Russia 5 629 2.1× 147 0.8× 151 1.3× 96 0.9× 69 0.7× 19 795
Çetin Cetinkaya United States 14 167 0.6× 223 1.2× 133 1.1× 64 0.6× 44 0.4× 46 613
Songhe Meng China 13 137 0.5× 126 0.7× 163 1.4× 22 0.2× 65 0.6× 38 534
Yangyang Yan China 15 189 0.6× 179 1.0× 68 0.6× 61 0.5× 34 0.3× 51 664
H.J.M. Geijselaers Netherlands 20 753 2.6× 419 2.3× 296 2.5× 37 0.3× 68 0.6× 79 984
Wei Xue China 17 561 1.9× 152 0.8× 163 1.4× 54 0.5× 31 0.3× 42 845
Xinwei Zhao China 16 196 0.7× 140 0.8× 92 0.8× 28 0.3× 75 0.7× 54 647

Countries citing papers authored by Yaochen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yaochen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaochen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yaochen Lin. A scholar is included among the top collaborators of Yaochen Lin 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 Yaochen Lin. Yaochen Lin 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.
Wang, Zili, et al.. (2025). Analytical springback modelling for thermal-mechanical bending of TA18 tube under non-isothermal loading. Applied Mathematical Modelling. 143. 115964–115964. 11 indexed citations
2.
Wang, Caicheng, et al.. (2025). Cross-forming-process transfer enabled graph neural networks for accurate axial-forming prediction in metal tube bending. Applied Soft Computing. 175. 113114–113114.
3.
Wang, Zhineng, et al.. (2025). Study on the thinning characteristics of aviation tubes during bending forming under boundary lubrication friction. Journal of Manufacturing Processes. 149. 443–455.
4.
Huang, Qiaogao, et al.. (2025). Analysis of fluid-structure interaction vibration and fatigue life of fluid-filled pipelines in underwater vehicles. Marine Structures. 104. 103885–103885. 1 indexed citations
5.
Wang, Zili, et al.. (2025). Operator learning-based springback behavior prediction for complex-shaped tube free-bending forming. Expert Systems with Applications. 298. 129899–129899.
6.
Wang, Zili, et al.. (2025). Spatial spiral tube multi-roller bending: Accurate axial prediction utilizing AWPSO-FECAM-LSTM framework. Expert Systems with Applications. 296. 128960–128960.
7.
Wang, Le, et al.. (2025). Multi-unit global-local registration for 3D bent tube based on implicit structural feature compatibility. Advanced Engineering Informatics. 65. 103120–103120. 7 indexed citations
8.
Lin, Yaochen, et al.. (2025). Plastic buckling and wrinkling behavior of tubes under combined bending and torsion loads. Thin-Walled Structures. 209. 112912–112912. 2 indexed citations
9.
Wang, Zili, et al.. (2024). A three-directional stress-strain model-based physics-embedded prediction framework for metal tube full-bent cross-sectional characteristics. Computers in Industry. 163. 104153–104153. 3 indexed citations
10.
Wang, Zili, Jie Li, Xiaojian Liu, et al.. (2024). Diameter-adjustable mandrel for thin-wall tube bending and its domain knowledge-integrated optimization design framework. Engineering Applications of Artificial Intelligence. 139. 109634–109634. 17 indexed citations
11.
Zhang, Xinsheng, et al.. (2024). Vortex-induced vibration and energy harvesting of cylinder system with nonlinear springs. Physics of Fluids. 36(10). 4 indexed citations
12.
Wang, Zili, Yuchen Gu, Shuyou Zhang, et al.. (2023). A transferred hybrid surrogate model integrating Gaussian membership virtual sample generation for small sample prediction: Applications in metal tube bending. Engineering Applications of Artificial Intelligence. 129. 107560–107560. 10 indexed citations
13.
Wang, Zili, et al.. (2023). A multi-state fusion informer integrating transfer learning for metal tube bending early wrinkling prediction. Applied Soft Computing. 151. 110991–110991. 52 indexed citations
14.
Chen, Dongyang, et al.. (2023). Nonlinear energy sink-based study on vortex-induced vibration and control of foil-cylinder coupled structure. Ocean Engineering. 286. 115623–115623. 28 indexed citations
15.
Wang, Zili, et al.. (2023). Task incremental learning-driven Digital-Twin predictive modeling for customized metal forming product manufacturing process. Robotics and Computer-Integrated Manufacturing. 85. 102647–102647. 61 indexed citations
16.
Zhang, Shuyou, et al.. (2022). A hierarchical prediction method based on hybrid-kernel GWO-SVM for metal tube bending wrinkling detection. The International Journal of Advanced Manufacturing Technology. 121(7-8). 5329–5342. 10 indexed citations
17.
Wang, Zili, et al.. (2021). Spatial variable curvature metallic tube bending springback numerical approximation prediction and compensation method considering cross-section distortion defect. The International Journal of Advanced Manufacturing Technology. 118(5-6). 1811–1827. 24 indexed citations
18.
Singh, Dharmendra Pratap, B. Duponchel, Yaochen Lin, et al.. (2019). Orientation of 4-n-octyl-4′-cyanobiphenyl molecules on graphene oxide surface via electron–phonon interaction and its applications in nonlinear electronics. Journal of Materials Chemistry C. 7(9). 2734–2743. 15 indexed citations
19.
Lin, Yaochen, et al.. (2016). Electric field effects on phase transitions in the 8CB liquid crystal doped with ferroelectric nanoparticles. Physical review. E. 93(6). 62702–62702. 18 indexed citations
20.
Lin, Yaochen, et al.. (2015). On the phase transitions of 8CB/Sn2P2S6 liquid crystal nanocolloids. The European Physical Journal E. 38(9). 103–103. 17 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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