Song Lin

946 total citations
29 papers, 645 citations indexed

About

Song Lin is a scholar working on Mechanical Engineering, Mechanics of Materials and Polymers and Plastics. According to data from OpenAlex, Song Lin has authored 29 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 8 papers in Mechanics of Materials and 6 papers in Polymers and Plastics. Recurrent topics in Song Lin's work include Industrial Vision Systems and Defect Detection (6 papers), Fiber-reinforced polymer composites (4 papers) and Mechanical Behavior of Composites (4 papers). Song Lin is often cited by papers focused on Industrial Vision Systems and Defect Detection (6 papers), Fiber-reinforced polymer composites (4 papers) and Mechanical Behavior of Composites (4 papers). Song Lin collaborates with scholars based in China, United States and Poland. Song Lin's co-authors include Steve Horvath, Peter Langfelder, Xiaolong Jia, Xiaoping Yang, Qing Cai, Lining Sun, Yunze Cai, Ke Shi, Hongjie Sun and Xin Liu and has published in prestigious journals such as Oncogene, IEEE Access and Composites Science and Technology.

In The Last Decade

Song Lin

27 papers receiving 622 citations

Peers

Song Lin

Danyu Wang China

Ruiqing Wang China

Tao Hou China

Zhiling Wang China

Zhongzhi Li China

Yiwen Zhang China

Armin Karimi United States

Yuan Cheng China

A. Deepak India

Wenda Li United Kingdom

Danyu Wang China

Song Lin

328 ×1.2

113 ×1.2

88 ×1.4

12 ×0.2

46 ×0.9

Citations per year, relative to Song Lin Song Lin (= 1×) peers Danyu Wang

Countries citing papers authored by Song Lin

Since Specialization

Citations

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

Fields of papers citing papers by Song Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Lin

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

Lin, Song, et al.. (2025). A Novel Microdefect Imaging System for High-Reflective Material Surfaces. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.

Li, Fei, Song Lin, Yue He, et al.. (2025). FLT1-enriched extracellular vesicles induce a positive feedback loop between nasopharyngeal carcinoma cells and endothelial cells to promote angiogenesis and tumour metastasis. Oncogene. 44(27). 2253–2267. 2 indexed citations

Wan, Sijie, et al.. (2024). A novel defect detection method for color printing fabrics based on attention mechanism and space-to-depth transformation. Signal Image and Video Processing. 18(S1). 227–238. 4 indexed citations

Ge, Lei, Hefeng Li, Hongbo Geng, et al.. (2024). A three-dimensional progressive failure analysis of filament-wound composite pressure vessels with void defects. Thin-Walled Structures. 199. 111858–111858. 11 indexed citations

Fang, Hao, et al.. (2024). CPF-DETR: An End-to-End DETR Model for Detecting Complex Patterned Fabric Defects. Fibers and Polymers. 26(1). 369–382.

Lin, Song, et al.. (2023). A novel micro-defect classification system based on attention enhancement. Journal of Intelligent Manufacturing. 35(2). 703–726. 9 indexed citations

Xu, Zhijun, Haixu Chen, Song Lin, et al.. (2023). Proliferation-mediated asymmetric nanoencapsulation of single-cell and motility differentiation. Science China Technological Sciences. 66(7). 2134–2146. 4 indexed citations

Lin, Song, et al.. (2023). Condition Assessment of Nuclear Power Plant Equipment Based on Machine Learning Methods: A Review. Nuclear Technology. 209(7). 929–962. 6 indexed citations

Cai, Yunze, et al.. (2023). Latent Fault Detection and Diagnosis for Control Rods Drive Mechanisms in Nuclear Power Reactor Based on GRU-AE. IEEE Sensors Journal. 23(6). 6018–6026. 18 indexed citations

10.

Lin, Song, et al.. (2023). Lifespan Prediction of Electronic Card in Nuclear Power Plant Based on Few Samples. Journal of Shanghai Jiaotong University (Science). 30(6). 1188–1194. 1 indexed citations

11.

Shi, Ke, Xianhua Huan, Song Lin, et al.. (2020). Ionic Liquid-Graphene Oxide for Strengthening Microwave Curing Epoxy Composites. ACS Applied Nano Materials. 3(12). 11955–11969. 14 indexed citations

12.

Qi, Pengfei, Ke Shi, Xin Liu, et al.. (2019). High performance epoxy-based composites for cryogenic use: A approach based on synergetic strengthening effects of epoxy grafted polyurethane and MWCNTs-NH2. Composites Science and Technology. 184. 107865–107865. 39 indexed citations

13.

Sun, Guodong, et al.. (2019). A Fast Fabric Defect Detection Framework for Multi-Layer Convolutional Neural Network Based on Histogram Back-Projection. IEICE Transactions on Information and Systems. E102.D(12). 2504–2514. 15 indexed citations

14.

Hou, Hongliang, et al.. (2014). Research on residual stress in SiC_freinforced titanium matrix composites. Steel and Composite Structures. 17(2). 173–184. 1 indexed citations

15.

Lin, Song, Peter Langfelder, & Steve Horvath. (2013). Random generalized linear model: a highly accurate and interpretable ensemble predictor. BMC Bioinformatics. 14(1). 5–5. 94 indexed citations

16.

Fu, Zhiqiang, et al.. (2013). Influence of Vacuum Cathodic Arc Etching on Structure and Properties of W-Doped DLC Films. Advanced materials research. 787. 296–300. 2 indexed citations

17.

Lin, Song, Bo Peng, & Zhi Huang. (2013). Test and Analysis of Basalt Fiber Reinforced Concrete’s Mechanical Properties and Pavement Performance. Advanced materials research. 671-674. 1291–1296. 4 indexed citations

18.

Lin, Song, Peter Langfelder, & Steve Horvath. (2012). Comparison of co-expression measures: mutual information, correlation, and model based indices. BMC Bioinformatics. 13(1). 328–328. 319 indexed citations

19.

Lin, Song, et al.. (2009). The Effects of Micro-Vibration Excited by Traffic Vehicles on Xi'an Bell Tower. 37–42. 4 indexed citations

20.

Lin, Song, et al.. (1989). Effect of Surface Oxygen on Adhesion of Carbon Fiber Reinforced Composites. MRS Proceedings. 170. 20 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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