Meng Ma

1.3k total citations
56 papers, 984 citations indexed

About

Meng Ma is a scholar working on Civil and Structural Engineering, Mechanical Engineering and General Engineering. According to data from OpenAlex, Meng Ma has authored 56 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Civil and Structural Engineering, 40 papers in Mechanical Engineering and 21 papers in General Engineering. Recurrent topics in Meng Ma's work include Railway Engineering and Dynamics (38 papers), Geotechnical Engineering and Underground Structures (29 papers) and Civil and Geotechnical Engineering Research (21 papers). Meng Ma is often cited by papers focused on Railway Engineering and Dynamics (38 papers), Geotechnical Engineering and Underground Structures (29 papers) and Civil and Geotechnical Engineering Research (21 papers). Meng Ma collaborates with scholars based in China, United Kingdom and Singapore. Meng Ma's co-authors include Weining Liu, Lihui Xu, Bolong Jiang, Weifeng Liu, Ruihua Liang, Chunyu Qian, Hougui Zhang, Zongzhen Wu, Minfu Liang and Zhang Yugeng and has published in prestigious journals such as Construction and Building Materials, Journal of Ethnopharmacology and International Journal of Environmental Research and Public Health.

In The Last Decade

Meng Ma

52 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng Ma China	20	724	706	310	107	97	56	984
Evangelos Ntotsios United Kingdom	12	565 0.8×	477 0.7×	233 0.8×	60 0.6×	88 0.9×	41	685
Lutz Auersch Germany	18	915 1.3×	1.0k 1.4×	601 1.9×	34 0.3×	98 1.0×	69	1.1k
C. Conti Belgium	16	644 0.9×	729 1.0×	440 1.4×	36 0.3×	68 0.7×	37	920
Masoud Sanayei United States	27	2.2k 3.1×	904 1.3×	216 0.7×	83 0.8×	456 4.7×	85	2.4k
Kai Wei China	18	794 1.1×	790 1.1×	340 1.1×	30 0.3×	160 1.6×	53	1.0k
C.J.C. Jones United Kingdom	20	1.4k 1.9×	1.7k 2.4×	981 3.2×	235 2.2×	208 2.1×	50	2.0k
P. Galvín Spain	25	1.7k 2.3×	1.6k 2.2×	741 2.4×	75 0.7×	301 3.1×	79	2.1k
A. Romero Spain	18	838 1.2×	802 1.1×	306 1.0×	43 0.4×	132 1.4×	60	1.1k
Hao Jin China	21	661 0.9×	384 0.5×	79 0.3×	51 0.5×	213 2.2×	107	1.1k
Pedro Alves Costa Portugal	32	2.4k 3.3×	2.4k 3.4×	1.2k 4.0×	173 1.6×	177 1.8×	107	2.9k

Countries citing papers authored by Meng Ma

Since Specialization

Citations

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

Fields of papers citing papers by Meng Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Ma

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

Zou, Chao, et al.. (2025). An efficient methodology for estimating building vibration due to train operations on ground surface considering transmission path from source to receiver. Journal of Building Engineering. 111. 113397–113397. 1 indexed citations

Ma, Meng, et al.. (2024). Hybrid method combining numerical modelling and experimental measurements for predicting ground-borne vibrations induced by underground trains. Soil Dynamics and Earthquake Engineering. 187. 108959–108959. 2 indexed citations

Xu, Lihui & Meng Ma. (2024). Vibration amplification zone phenomenon on the ground surface under various types of buried dynamic loads within metro tunnel. Soil Dynamics and Earthquake Engineering. 182. 108713–108713. 7 indexed citations

Liang, Ruihua, et al.. (2024). Physics-informed deep learning for structural dynamics under moving load. International Journal of Mechanical Sciences. 284. 109766–109766. 18 indexed citations

Zhang, Haijing, Yifei Yang, Chunhui Zhao, et al.. (2024). Evaluation of the chronic oral toxicity of the classical ancient prescription Kai-Xin-San. Journal of Ethnopharmacology. 337(Pt 3). 118931–118931. 1 indexed citations

Ma, Meng, et al.. (2023). Prediction of ground-borne vibration from random traffic flow and road roughness: Theoretical model and experimental validation. Engineering Structures. 285. 116060–116060. 9 indexed citations

Qiao, Chang, et al.. (2023). Study on Modelling Method of Resilient Mat Used under Floating Slab Track. Materials. 16(8). 3078–3078. 5 indexed citations

Ma, Meng, et al.. (2023). Transmission characteristics of train-induced vibration in buildings based on wave propagation analysis. Construction and Building Materials. 378. 131154–131154. 25 indexed citations

Jiang, Bolong, et al.. (2023). Method for Controlling Full-Frequency Band Environment Vibration by Coordinating Metro Vibration Sources and Propagation Paths. Applied Sciences. 13(24). 12979–12979. 2 indexed citations

10.

Thompson, David, et al.. (2022). Sources of variability in metro train-induced vibration. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 237(4). 490–499. 12 indexed citations

11.

Ma, Meng, et al.. (2022). Evaluating the Impact of Metro Interior Noise on Passenger Annoyance: An Experimental Study. International Journal of Environmental Research and Public Health. 19(9). 5041–5041. 7 indexed citations

12.

Luo, Xukun, et al.. (2022). Adaptive Graph Convolutional Network for Knowledge Graph Entity Alignment. 6011–6021. 2 indexed citations

13.

Ji, Wei, et al.. (2021). Characteristics analysis of near-field and far-field aerodynamic noise around high-speed railway bridge. Environmental Science and Pollution Research. 28(23). 29467–29483. 10 indexed citations

14.

Ma, Meng, et al.. (2020). Prediction of building vibration induced by metro trains running in a curved tunnel. Journal of Vibration and Control. 27(5-6). 515–528. 58 indexed citations

15.

Ma, Meng, et al.. (2019). Analysis of the Vibration Mitigation Characteristics of the Ballasted Ladder Track with Elastic Elements. Sustainability. 11(23). 6780–6780. 23 indexed citations

16.

Ma, Meng, et al.. (2019). Influence of Soil Parameters on Detecting Voids behind a Tunnel Lining Using an Impact Echo Method. Applied Sciences. 9(24). 5403–5403. 4 indexed citations

17.

Jiang, Bolong, et al.. (2019). Experimental study of the vibration characteristics of the floating slab track in metro turnout zones. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 233(10). 1081–1096. 31 indexed citations

18.

Ma, Meng, et al.. (2019). Detecting the Void behind the Tunnel Lining by Impact-Echo Methods with Different Signal Analysis Approaches. Applied Sciences. 9(16). 3280–3280. 17 indexed citations

19.

Liu, Jianlei & Meng Ma. (2015). Analysis of the dynamic stiffness and bearing capacity for pile foundations. Vibroengineering PROCEDIA. 5. 134–139. 6 indexed citations

20.

Ma, Meng. (2011). Experimental Study on the Transmission Characteristics of Low-Frequency Vibrations Induced by Metro Operation. Zhongguo tiedao kexue. 2 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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