Liang Ling

2.8k total citations · 1 hit paper
107 papers, 2.0k citations indexed

About

Liang Ling is a scholar working on Mechanical Engineering, Civil and Structural Engineering and General Engineering. According to data from OpenAlex, Liang Ling has authored 107 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Mechanical Engineering, 37 papers in Civil and Structural Engineering and 36 papers in General Engineering. Recurrent topics in Liang Ling's work include Railway Engineering and Dynamics (93 papers), Civil and Geotechnical Engineering Research (36 papers) and Mechanical stress and fatigue analysis (25 papers). Liang Ling is often cited by papers focused on Railway Engineering and Dynamics (93 papers), Civil and Geotechnical Engineering Research (36 papers) and Mechanical stress and fatigue analysis (25 papers). Liang Ling collaborates with scholars based in China, Australia and United States. Liang Ling's co-authors include Wanming Zhai, Xuesong Jin, Kaiyun Wang, Xinbiao Xiao, Zhaoling Han, Shengyang Zhu, Zhaowei Chen, Manicka Dhanasekar, David Thambiratnam and Zefeng Wen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Liang Ling

102 papers receiving 2.0k citations

Hit Papers

Train–track–bridge dynamic interaction: a state-of-the-ar... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Ling China 23 1.8k 931 563 548 327 107 2.0k
Pingbo Wu China 24 1.3k 0.7× 582 0.6× 260 0.5× 567 1.0× 160 0.5× 92 1.6k
Simon Iwnicki United Kingdom 31 2.4k 1.3× 909 1.0× 517 0.9× 940 1.7× 501 1.5× 88 2.8k
J. Pombo Portugal 29 2.1k 1.2× 534 0.6× 263 0.5× 981 1.8× 537 1.6× 77 2.3k
Sebastian Stichel Sweden 26 1.7k 1.0× 530 0.6× 176 0.3× 566 1.0× 541 1.7× 119 2.0k
Yan Quan Sun Australia 24 1.3k 0.7× 443 0.5× 342 0.6× 485 0.9× 517 1.6× 88 1.6k
Maoru Chi China 22 1.2k 0.7× 423 0.5× 319 0.6× 469 0.9× 156 0.5× 95 1.3k
V.L. Markine Netherlands 31 1.8k 1.0× 1.4k 1.5× 483 0.9× 653 1.2× 211 0.6× 107 2.2k
Oldřich Polách Germany 16 1.5k 0.8× 327 0.4× 244 0.4× 704 1.3× 371 1.1× 30 1.6k
Nan Zhang China 28 2.5k 1.4× 2.0k 2.2× 657 1.2× 449 0.8× 212 0.6× 126 3.2k
Zili Li Netherlands 34 2.9k 1.6× 1.4k 1.5× 410 0.7× 1.6k 2.8× 474 1.4× 119 3.3k

Countries citing papers authored by Liang Ling

Since Specialization
Citations

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

Fields of papers citing papers by Liang Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ling. A scholar is included among the top collaborators of Liang 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 Liang Ling. Liang Ling 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
2.
Yang, Yunfan, et al.. (2025). Wheel Slip Control Algorithms for Improving Adhesion Performance of Electric Locomotives. IEEE Transactions on Intelligent Transportation Systems. 26(4). 4592–4605.
3.
Yang, Yunfan, et al.. (2024). On the Polygonal Wear Evolution of Heavy-Haul Locomotive Wheels due to Wheel/Rail Flexibility and Its Mitigation Measures. Chinese Journal of Mechanical Engineering. 37(1). 10 indexed citations
4.
Zhang, Heng, Liang Ling, Sebastian Stichel, & Wanming Zhai. (2024). Integration of bio-inspired limb-like structure damping into motor suspension of high-speed trains to enhance bogie hunting stability. SHILAP Revista de lepidopterología. 32(3). 324–343. 5 indexed citations
5.
Ling, Liang, et al.. (2024). Enhancing Adhesion Performance of High-Speed Trains Using Active Synergy of Electromagnetic Actuator and Anti-Slip Control. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18515–18524. 1 indexed citations
6.
Ling, Liang, et al.. (2024). Adaptive nonlinear damping control of active secondary suspension for hunting stability of high-speed trains. Applied Mathematical Modelling. 133. 79–107. 5 indexed citations
7.
Yang, Yunfan, Ruichen Wang, Jiacheng Wang, et al.. (2024). Comparison of wheel/rail contact modelling in prediction of wheel tread wear under changeable friction conditions. Vehicle System Dynamics. 64(1). 125–154. 5 indexed citations
8.
Ling, Liang, et al.. (2024). Adaptive robust constraint-following control method for improving carbody hunting stability of high-speed trains. Vehicle System Dynamics. 64(1). 73–94. 4 indexed citations
9.
Zhang, Heng, Liang Ling, & Wanming Zhai. (2024). Influence of steady aerodynamic loads on hunting stability of high-speed trains. Nonlinear Dynamics. 113(3). 2155–2181. 2 indexed citations
10.
Zhang, Heng, Liang Ling, Xiaolong Ma, et al.. (2024). The effect of yaw damper performance degradation on carbody hunting of high-speed trains. Vehicle System Dynamics. 62(12). 3122–3145. 8 indexed citations
11.
Yang, Yunfan, et al.. (2023). Effect of Traction/Braking Loads and Complex Adhesion Conditions on Metro Wheel/Rail Interactions. Journal of Mechanical Engineering. 59(12). 284–284. 3 indexed citations
12.
Tang, Zhao, et al.. (2023). Train post-derailment behaviours and containment methods: a review. SHILAP Revista de lepidopterología. 32(1). 59–80. 17 indexed citations
13.
Yang, Yunfan, et al.. (2023). A numerical study on tread wear and fatigue damage of railway wheels subjected to anti-slip control. Friction. 11(8). 1470–1492. 17 indexed citations
14.
Yang, Yunfan, et al.. (2023). Influence of Wheel/Rail Dynamic Interaction Induced by Polygonal Wheels under Braking Condition. Journal of Mechanical Engineering. 59(8). 196–196. 4 indexed citations
15.
Ling, Liang, et al.. (2023). KCF-Hash-Match Target Tracking Algorithm for Identifying Wheel Lateral Sway of High-speed Train. Journal of Mechanical Engineering. 59(24). 223–223. 1 indexed citations
16.
Yang, Yunfan, Liang Ling, Chao Wang, et al.. (2020). Wheel/rail dynamic interaction induced by polygonal wear of locomotive wheels. Vehicle System Dynamics. 60(1). 211–235. 44 indexed citations
17.
Chen, Lingkun, Wenlong He, Qiao Li, et al.. (2019). Assessment of the Strengthening of Existing Benchmark Monorail Railway Bridge: A Case Study of a Generic Method for Lateral Reinforcement. Structural Engineering International. 29(3). 362–369. 3 indexed citations
18.
Ling, Liang, et al.. (2016). Investigation into the vibration of metro bogies induced by rail corrugation. Chinese Journal of Mechanical Engineering. 30(1). 93–102. 25 indexed citations
19.
Ling, Liang & Xuesong Jin. (2014). A 3D model for coupling dynamics analysis of high-speed train/track system. Journal of Zhejiang University. Science A. 15. 964–983. 75 indexed citations
20.
Ling, Liang, et al.. (2012). Study on Dynamic Responses and Running Safety Boundary of High-speed Train under Seismic Motions. Journal of the China Railway Society. 34(10). 16–22. 5 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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