Yong Ling

419 total citations
12 papers, 318 citations indexed

About

Yong Ling is a scholar working on Mechanical Engineering, Mechanics of Materials and Management Information Systems. According to data from OpenAlex, Yong Ling has authored 12 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 4 papers in Mechanics of Materials and 2 papers in Management Information Systems. Recurrent topics in Yong Ling's work include Metal Forming Simulation Techniques (4 papers), Fatigue and fracture mechanics (3 papers) and Aluminum Alloys Composites Properties (3 papers). Yong Ling is often cited by papers focused on Metal Forming Simulation Techniques (4 papers), Fatigue and fracture mechanics (3 papers) and Aluminum Alloys Composites Properties (3 papers). Yong Ling collaborates with scholars based in Belgium, China and Vietnam. Yong Ling's co-authors include Magd Abdel Wahab, Ran Kim, Bhaskar Majumdar, Somnath Ghosh, Qi Zhao, Zhiyi Liu, Can Wang, Haithem Ben Hamouda, Chao Li and Kye Yak See and has published in prestigious journals such as Materials & Design, Engineering Fracture Mechanics and International Journal of Fatigue.

In The Last Decade

Yong Ling

11 papers receiving 311 citations

Peers

Yong Ling

MM

ME

MC

CSE

AE

Stefano Gonella United States

Jingye Yang China

Nicolas Tardif France

Xu Zhao China

Saeed Adibnazari Iran

Gérard Rio France

Wenqi Liu Finland

Antônio Almeida Silva Brazil

Yogesh Bansal United States

Stefano Gonella United States

Yong Ling

131 ×0.6

MM

162 ×1.1

ME

55 ×0.8

MC

107 ×2.7

CSE

24 ×0.9

AE

Citations per year, relative to Yong Ling Yong Ling (= 1×) peers Stefano Gonella

Countries citing papers authored by Yong Ling

Since Specialization

Citations

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

Fields of papers citing papers by Yong Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Ling

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

All Works

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12 of 12 papers shown

1.

Cheng, Jun, Yong Ling, & Wim De Waele. (2024). An ANN Hardness Prediction Tool Based on a Finite Element Implementation of a Thermal–Metallurgical Model for Mild Steel Produced by WAAM. Metals. 14(5). 556–556. 1 indexed citations

2.

Wang, Can, et al.. (2023). A deep neural network approach combined with Findley parameter to predict fretting fatigue crack initiation lifetime. International Journal of Fatigue. 176. 107891–107891. 6 indexed citations

3.

Zhao, Qi, Magd Abdel Wahab, Yong Ling, Zhiyi Liu, & Dagang Wang. (2023). Fatigue crack propagation of AA2024 alloy under texture control using crystal plasticity coupled with accelerated cyclic cohesive zone model. Engineering Fracture Mechanics. 296. 109819–109819. 15 indexed citations

4.

Zhao, Qi, Magd Abdel Wahab, Yong Ling, & Zhiyi Liu. (2022). Fatigue crack propagation across grain boundary of Al-Cu-Mg bicrystal based on crystal plasticity XFEM and cohesive zone model. Journal of Material Science and Technology. 126. 275–287. 30 indexed citations

5.

Ling, Yong, et al.. (2022). Numerical prediction of microstructure and hardness for low carbon steel wire Arc additive manufacturing components. Simulation Modelling Practice and Theory. 122. 102664–102664. 41 indexed citations

6.

Wang, Can, Chao Li, Yong Ling, & Magd Abdel Wahab. (2022). Investigation on fretting fatigue crack initiation in heterogenous materials using a hybrid of multiscale homogenization and direct numerical simulation. Tribology International. 169. 107470–107470. 28 indexed citations

7.

Zhao, Qi, Magd Abdel Wahab, Yong Ling, & Zhiyi Liu. (2021). Fatigue crack propagation within Al-Cu-Mg single crystals based on crystal plasticity and XFEM combined with cohesive zone model. Materials & Design. 210. 110015–110015. 34 indexed citations

8.

Zhao, Qi, Magd Abdel Wahab, Yong Ling, & Zhiyi Liu. (2021). Grain-orientation induced stress formation in AA2024 monocrystal and bicrystal using Crystal Plasticity Finite Element Method. Materials & Design. 206. 109794–109794. 30 indexed citations

9.

See, Kye Yak, et al.. (2011). Study of Metal Foams for Architectural Electromagnetic Shielding. Journal of Materials in Civil Engineering. 24(4). 488–493. 20 indexed citations

10.

Zhang, Liqun, et al.. (2008). Extension BPML for Sub-Process. w3c. 252–252. 1 indexed citations

11.

Ling, Yong, et al.. (2008). Design and Implementation of Process Mining System Based on a-Algorithm. 308–308. 1 indexed citations

12.

Ghosh, Somnath, Yong Ling, Bhaskar Majumdar, & Ran Kim. (2000). Interfacial debonding analysis in multiple fiber reinforced composites. Mechanics of Materials. 32(10). 561–591. 111 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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