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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Deep learning based identification and uncertainty analysis of metro train induced ground-borne vibration
Weifeng Liu, Ruihua Liang, Hougui Zhang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 189, pp. 110062-110062
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Building structure-borne noise measurements and estimation due to train operations in tunnel
Xuming Li, Yekai Chen, Chao Zou, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 172080-172080
Closed Access | Times Cited: 17
Building Vibration Measurement and Prediction during Train Operations
Lingshan He, Ziyu Tao
Buildings (2024) Vol. 14, Iss. 1, pp. 142-142
Open Access | Times Cited: 14
Train-induced vibration mitigation based on foundation improvement
Xuming Li, Yekai Chen, Chao Zou, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107106-107106
Closed Access | Times Cited: 20
Building vibration measurements induced by train operation on concrete floor
Yitao Qiu, Chao Zou, Junhuan Wu, et al.
Construction and Building Materials (2023) Vol. 394, pp. 132283-132283
Closed Access | Times Cited: 16
A deep modal model for reconstructing the VIV response of a flexible cylinder with sparse sensing data
Yangyang Liao, Hesheng Tang, Liyu Xie
Ocean Engineering (2025) Vol. 326, pp. 120871-120871
Closed Access
Experimental Study on the Rail Damper for Vibration and Noise Control and Rail Corrugation Suppression
Fangqiu Sun, Zhiqiang Sun, Ruihua Liang, et al.
Urban Rail Transit (2025)
Open Access
Review on the Prediction and Control of Structural Vibration and Noise in Buildings Caused by Rail Transit
Yuanpeng He, Yang Zhang, Yuyang Yao, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2310-2310
Open Access | Times Cited: 13
Analysis of Vibration Responses Induced by Metro Operations Using a Probabilistic Method
Zongzhen Wu, Chunyang Li, Weifeng Liu, et al.
Symmetry (2024) Vol. 16, Iss. 2, pp. 145-145
Open Access | Times Cited: 4
An acoustic black hole absorber for rail vibration suppression: Simulation and full-scale experiment
Yan Xiao, Wenai Shen, Hongping Zhu, et al.
Engineering Structures (2024) Vol. 304, pp. 117647-117647
Closed Access | Times Cited: 4
Using Deep Learning to Estimate Vibration Comfort of Large‐Scale Shake Table During Operation
Minte Zhang, Tong Guo, Yueran Zong, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Vibration filtering effect of a novel three-dimensional isolation bearing on metro vibration isolation
Qiuhe Liang, Weili Luo, Yun Zhou, et al.
Engineering Structures (2023) Vol. 301, pp. 117304-117304
Closed Access | Times Cited: 12
Supervised learning study on ground classification and state recognition of agricultural robots based on multi-source vibration data fusion
Jianbo Guo, Shuai Wang, Yiwei Mao, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108791-108791
Closed Access | Times Cited: 3
Artificial Intelligence and Deep Learning in Civil Engineering
Ayla Ocak, Sinan Melih Niğdeli, Gebrai̇l Bekdaş, et al.
Studies in systems, decision and control (2023), pp. 265-288
Closed Access | Times Cited: 8
Classification of External Vibration Sources through Data-Driven Models Using Hybrid CNNs and LSTMs
Ruihua Liang, Weifeng Liu, Sakdirat Kaewunruen, et al.
Structural Control and Health Monitoring (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 7
Response prediction and probabilistic analysis of the vehicle-ballasted track system considering track irregularity based on long-short term memory neural network
Hubing Liu, Li Song, Lei Xu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108604-108604
Closed Access | Times Cited: 2
Physics-informed deep learning for structural dynamics under moving load
Ruihua Liang, Weifeng Liu, Yuguang Fu, et al.
International Journal of Mechanical Sciences (2024), pp. 109766-109766
Closed Access | Times Cited: 2
Real-time structural health monitoring of bridges using convolutional neural network-based loss factor analysis for enhanced energy dissipation detection
Thanh Q. Nguyen, Tu B. Vu, Niusha Shafiabady, et al.
Structures (2024) Vol. 70, pp. 107733-107733
Closed Access | Times Cited: 2
Modelling metro-induced environmental vibration by combining physical-numerical and deep learning methods
Jiaru Wang, Xinbiao Xiao, Laixian Peng, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111687-111687
Closed Access | Times Cited: 1
Vibration Filtering Effect of a Novel Three-Dimensional Isolation Bearing on Metro Vibration Isolation
Qiuhe Liang, Weili Luo, Yun Zhou, et al.
(2023)
Closed Access | Times Cited: 2
Field Measurement and Energy Analysis of Ground-Borne Vibration around High-Speed Railway Viaduct
Yanmei Cao, Q. Xiang, Boyang Li, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 2
Vibrations in Machines Fitted with Hydraulic Systems
Michał Stosiak, Mykola Karpenko
Synthesis lectures on mechanical engineering (2024), pp. 1-30
Closed Access
Analysis of Train-Induced Vibration Transmission and Distribution Characteristics in Double-Layer Metro Depot
Xinwei Luo, Xuan Jiang, Qingsong Feng, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1702-1702
Open Access
Probabilistic Prediction and Assessment of Train-Induced Vibrations Based on Mixture Density Model
Ziyu Tao, Lingshan He, Desi Tu, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3468-3468
Open Access
Comparative analysis of methods for predicting train-induced vibrations
Wei-Lun Hsu, Wenxue Chen, Min‐Fu Hsieh
Journal of low frequency noise, vibration and active control (2024)
Open Access
Identification of line-source transfer mobility and force density by ground acceleration measurements
Ziyu Tao, Yimin Wang, Wei He, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 19, pp. 54498-54510
Open Access | Times Cited: 1
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