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:

A SVM-based framework for fault detection in high-speed trains
Jie Liu, Yang Hu, Shunkun Yang
Measurement (2020) Vol. 172, pp. 108779-108779
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization
Shengnan Tang, Yong Zhu, Shouqi Yuan
ISA Transactions (2022) Vol. 129, pp. 555-563
Closed Access | Times Cited: 121

Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges
Prashant Singh, Maxim A. Dulebenets, Junayed Pasha, et al.
IEEE Access (2021) Vol. 9, pp. 91427-91461
Open Access | Times Cited: 85

Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach
Izaz Raouf, Hyewon Lee, Heung Soo Kim
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 2, pp. 417-433
Open Access | Times Cited: 66

Obstacle detection of rail transit based on deep learning
Deqiang He, Zhiheng Zou, Yanjun Chen, et al.
Measurement (2021) Vol. 176, pp. 109241-109241
Closed Access | Times Cited: 55

Fault diagnosis method of wheelset based on EEMD-MPE and support vector machine optimized by quantum-behaved particle swarm algorithm
Mutian Xu, Huiming Yao
Measurement (2023) Vol. 216, pp. 112923-112923
Closed Access | Times Cited: 28

Imbalanced deep transfer network for fault diagnosis of high-speed train traction motor bearings
Yilong Liu, Xinyuan Li, Xingwu Zhang, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111682-111682
Closed Access | Times Cited: 6

Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems
Shuwen Zheng, Kai Pan, Jie Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110382-110382
Closed Access | Times Cited: 6

A fault diagnosis and measurement method for temperature measurement circuits in electric traction drive system
Qiang Ni, Feng Ding, Z. Zhan, et al.
Measurement (2024) Vol. 227, pp. 114250-114250
Closed Access | Times Cited: 5

Unlocking the power of knowledge for few-shot fault diagnosis: A review from a knowledge perspective
Pei Ling Lai, Fan Zhang, Tianrui Li, et al.
Information Sciences (2025), pp. 121996-121996
Closed Access

Automatic liver tumor segmentation from CT images using hierarchical iterative superpixels and local statistical features
Shuanhu Di, Yuqian Zhao, Miao Liao, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117347-117347
Closed Access | Times Cited: 24

SVM-SMO-SGD: A hybrid-parallel support vector machine algorithm using sequential minimal optimization with stochastic gradient descent
Gizen Mutlu, Çiğdem İnan Acı
Parallel Computing (2022) Vol. 113, pp. 102955-102955
Closed Access | Times Cited: 24

Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths
Shuwen Zheng, Chong Wang, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109872-109872
Closed Access | Times Cited: 13

Predictive maintenance of dual boost rectifier: a green anaconda driven machine learning approach
Soumya Rani Mestha, Nagesh Prabhu
Electrical Engineering (2025)
Closed Access

Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach
Muhammad Shadab Alam Hashmi, Muhammad Ibrahim, Imran Sarwar Bajwa, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1983-1983
Open Access | Times Cited: 20

Multi-source fault diagnosis of chiller plant sensors based on an improved ensemble empirical mode decomposition Gaussian mixture model
Boyan Zhang, Xiuying Yan, Guangyu Liu, et al.
Energy Reports (2022) Vol. 8, pp. 2831-2842
Open Access | Times Cited: 19

Dynamic feature extraction and recognition of flow states in vaneless space of a prototype reversible pump turbine in generating mode based on variational mode decomposition and energy index
Xianghao Zheng, Mengyu Lu, Hao Li, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105821-105821
Closed Access | Times Cited: 15

A Hierarchical Transfer-Generative Framework for Automating Multianalytical Tasks in Rail Surface Defect Inspection
Tiange Wang, Zijun Zhang, Kwok‐Leung Tsui
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 21513-21526
Closed Access | Times Cited: 2

Sensitivity analysis of different components of transfer function for detection and classification of type, location and extent of transformer faults
Hadi Tarimoradi, Hossein Karami, Gevork B. Gharehpetian, et al.
Measurement (2021) Vol. 187, pp. 110292-110292
Closed Access | Times Cited: 17

Acoustic Monitoring of Railway Defects Using Deep Learning with Audio to Spectrogram Conversion
Emre Uygun, Serdal Terzi
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 2, pp. 2585-2594
Closed Access | Times Cited: 5

Dynamic hybrid observer-based early slipping fault detection for high-speed train wheelsets
Shicai Yin, Tao Peng, Chao Yang, et al.
Control Engineering Practice (2023) Vol. 142, pp. 105736-105736
Closed Access | Times Cited: 5

An evidential reasoning-based fault detection method for multi-mode system
Peng Zhang, Zhijie Zhou, Jie Wang, et al.
Measurement (2022) Vol. 193, pp. 110942-110942
Closed Access | Times Cited: 8

An Efficient Anomaly Detection for High-Speed Train Braking System Using Broad Learning System
Chong Wang, Jie Liu
IEEE Access (2021) Vol. 9, pp. 63825-63832
Open Access | Times Cited: 11

Detection of Unit of Measure Inconsistency in gas turbine sensors by means of Support Vector Machine classifier
Lucrezia Manservigi, D. Wayne Murray, Javier Artal de la Iglesia, et al.
ISA Transactions (2021) Vol. 123, pp. 323-338
Closed Access | Times Cited: 9

Abnormal noise monitoring of subway vehicles based on combined acoustic features
Yan Zhaoli, Hang Zhu, Han Zhang, et al.
Applied Acoustics (2022) Vol. 197, pp. 108951-108951
Closed Access | Times Cited: 6

Application of Optimized SVM in Sample Classification
Xuemei Yao
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 6
Open Access | Times Cited: 5

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