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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:

Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning
Chenzhong Li, Qing He, Ping Wang
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 10, pp. 1260-1276
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

The parameter identification of metro rail corrugation based on effective signal extraction and inertial reference method
Haimeng Sun, Deqiang He, Hailong Ma, et al.
Engineering Failure Analysis (2024) Vol. 158, pp. 108043-108043
Closed Access | Times Cited: 8
Estimation of turnout irregularities using vehicle responses with improved BiLSTM and Gaussian process regression
Xiaopei Cai, Xueyang Tang, Fei Yang, et al.
Measurement (2023) Vol. 221, pp. 113513-113513
Closed Access | Times Cited: 18
Optimizing Railway Track Tamping and Geometry Fine-Tuning Allocation Using a Neural Network-Based Solver
congyang xu, Huakun Sun, Siyuan Zhou, et al.
Automation in Construction (2025) Vol. 171, pp. 105958-105958
Closed Access
Recognition of state variation of ballast bed using integrated multi-dimensional motion characteristics of ballast particles
Haonan Xi, Longlong Fu, Shuchen Wang, et al.
International Journal of Rail Transportation (2025), pp. 1-22
Closed Access
Estimating track geometry irregularities from in-service train accelerations using deep learning
Zihao Jin, Wei Zhang, Zhen‐Yu Yin, et al.
Automation in Construction (2025) Vol. 173, pp. 106114-106114
Open Access
Roles of Vibration-Based Machine Learning Algorithms in Railway Vehicle Monitoring for Track Condition Assessment: A Review
Agustinus Winarno, Rienetta Ichmawati Delia Sandhy, Nurhazimah Nazmi, et al.
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 4
Closed Access
A multilevel track defects assessment framework based on vehicle body vibration
X.D. Chen, Yuanjie Tang, Rengkui Liu
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Application of machine learning techniques to build digital twins for long train dynamics simulations
Nicola Bosso, Matteo Magelli, Riccardo Trinchero, et al.
Vehicle System Dynamics (2023) Vol. 62, Iss. 1, pp. 21-40
Closed Access | Times Cited: 14
Bayesian neural networks with physics‐aware regularization for probabilistic travel time modeling
Audrey Olivier, Sevin Mohammadi, Andrew W. Smyth, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 18, pp. 2614-2631
Open Access | Times Cited: 13
Anchor‐adaptive railway track detection from unmanned aerial vehicle images
Lei Tong, Limin Jia, Yixuan Geng, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 18, pp. 2666-2684
Closed Access | Times Cited: 12
Characterizing the regional variation of ballast particles’ movement during the increase of local void in ballast bed
Haonan Xi, Longlong Fu, Shuchen Wang, et al.
Transportation Geotechnics (2024) Vol. 45, pp. 101197-101197
Closed Access | Times Cited: 4
Autoencoder‐based method to assess bridge health monitoring data quality
Bowen Xiao, Jin Di, Jie Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 15, pp. 2367-2388
Open Access | Times Cited: 4
Detecting Railway Track Irregularities with Data-driven Uncertainty Quantification
Andreas Plesner, Allan P. Engsig‐Karup, Hans True
Highlights of Vehicles (2025) Vol. 3, Iss. 1, pp. 1-14
Closed Access
Drive-by Methodologies Applied to Railway Infrastructure Subsystems: A Literature Review—Part I: Bridges and Viaducts
E.F. Souza, Cássio Bragança, Andreia Meixedo, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 6940-6940
Open Access | Times Cited: 11
A feature extraction and deep learning approach for network traffic volume prediction considering detector reliability
Xiexin Zou, Edward Chung, Yue Zhou, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 1, pp. 102-119
Closed Access | Times Cited: 11
Drive-by Methodologies Applied to Railway Infrastructure Subsystems: A Literature Review—Part II: Track and Vehicle
Cássio Bragança, E.F. Souza, Diogo Ribeiro, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 6982-6982
Open Access | Times Cited: 9
Review of Data Analytics for Condition Monitoring of Railway Track Geometry
Alfredo Peinado Gonzalo, Richard Horridge, Heather Steele, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 22737-22754
Closed Access | Times Cited: 12
Measuring vertical track irregularities from instrumented heavy haul railway vehicle data using machine learning
A.C. Pires, Maria Clara Assunção Viana, Lorenzo Miniguite Scaramussa, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107191-107191
Closed Access | Times Cited: 6
Weekly line planning to improve the match between rail supply and passenger demand
Bowen Nie, Lei Nie, Huiling Fu, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 13, pp. 1810-1833
Closed Access | Times Cited: 9
Intelligent construction for the transportation infrastructure: a review
Qing He, Faeze Ghofrani, Tianci Gao, et al.
Intelligent Transportation Infrastructure (2022) Vol. 1
Open Access | Times Cited: 8
A Multitask Learning Method for Rail Corrugation Detection Using In-Vehicle Responses and Noise Data
Chenzhong Li, Huakun Sun, Wangyijia Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 6, pp. 5045-5058
Closed Access | Times Cited: 4
Railway sleeper vibration measurement by train‐borne laser Doppler vibrometer and its speed‐dependent characteristics
Yuan Zeng, Alfredo Núñez, Zili Li
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 1
Track vertical irregularity estimation for railway bridges using a novel and lightweight deep-learning architecture
Baoquan Wang, Yan Zeng, Dongming Feng, et al.
Vehicle System Dynamics (2024), pp. 1-28
Closed Access | Times Cited: 1
Estimation of speed-related car body acceleration limits with quantile regression
Jianli Cong, Hang Zhang, Zilong Wei, et al.
Railway Sciences (2024) Vol. 3, Iss. 5, pp. 575-592
Open Access | Times Cited: 1
Detecting Railway Track Irregularities Using Conformal Prediction
Andreas Plesner, Allan P. Engsig‐Karup, Hans True
Lecture notes in computer science (2024), pp. 295-309
Closed Access | Times Cited: 1
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