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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:

A scalable fuzzy support vector machine for fault detection in transportation systems
Jie Liu, Enrico Zio
Expert Systems with Applications (2018) Vol. 102, pp. 36-43
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 87
Non-parallel bounded support matrix machine and its application in roller bearing fault diagnosis
Haiyang Pan, Haifeng Xu, Jinde Zheng, et al.
Information Sciences (2023) Vol. 624, pp. 395-415
Closed Access | Times Cited: 53
Deep learning-based fault diagnosis of servo motor bearing using the attention-guided feature aggregation network
Izaz Raouf, Prashant Kumar, Heung Soo Kim
Expert Systems with Applications (2024) Vol. 258, pp. 125137-125137
Closed Access | Times Cited: 14
Density-weighted support vector machines for binary class imbalance learning
Barenya Bikash Hazarika, Deepak Gupta
Neural Computing and Applications (2020) Vol. 33, Iss. 9, pp. 4243-4261
Closed Access | Times Cited: 87
Current Status and Prospects of Research on Sensor Fault Diagnosis of Agricultural Internet of Things
Xiuguo Zou, Wenchao Liu, Zhiqiang Huo, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2528-2528
Open Access | Times Cited: 23
Prognostics and Health Management in Nuclear Power Plants: An Updated Method-Centric Review With Special Focus on Data-Driven Methods
Xingang Zhao, Junyung Kim, Kyle Warns, et al.
Frontiers in Energy Research (2021) Vol. 9
Open Access | Times Cited: 47
Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders
Abdulrahman H. Ba-Alawi, Jorge Loy-Benitez, SangYun Kim, et al.
Chemosphere (2021) Vol. 288, pp. 132647-132647
Closed Access | Times Cited: 42
Fault detection and diagnosis of air brake system: A systematic review
Zhe-Fan Hou, C.K.M. Lee, Yaqiong Lv, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 34-58
Closed Access | Times Cited: 17
A distributed algorithm for fuzzy support vector machine on multi-source data-driven credit scoring
Wenjuan Li, Wei Shan, Мaodian Liu
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110009-110009
Closed Access
Fuzzy support vector machine for imbalanced data with borderline noise
Jie Liu
Fuzzy Sets and Systems (2020) Vol. 413, pp. 64-73
Closed Access | Times Cited: 45
A Modified Generative Adversarial Network for Fault Diagnosis in High-Speed Train Components with Imbalanced and Heterogeneous Monitoring Data
Chong Wang, Jie Liu, Enrico Zio
Journal of Dynamics Monitoring and Diagnostics (2022), pp. 84-92
Open Access | Times Cited: 25
Incipient fault detection of the high-speed train air brake system with a combined index
Hongquan Ji, Donghua Zhou
Control Engineering Practice (2020) Vol. 100, pp. 104425-104425
Closed Access | Times Cited: 33
Importance-SMOTE: a synthetic minority oversampling method for noisy imbalanced data
Jie Liu
Soft Computing (2021) Vol. 26, Iss. 3, pp. 1141-1163
Closed Access | Times Cited: 28
Multi-category intuitionistic fuzzy twin support vector machines with an application to plant leaf recognition
Scindhiya Laxmi, Swati Gupta
Engineering Applications of Artificial Intelligence (2022) Vol. 110, pp. 104687-104687
Closed Access | Times Cited: 19
Implementation of Vibrations Faults Monitoring and Detection on Gas Turbine System Based on the Support Vector Machine Approach
Nadji Hadroug, Abdelhamid Iratni, Ahmed Hafaifa, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 2877-2902
Closed Access | Times Cited: 9
A feature engineering framework for online fault diagnosis of freight train air brakes
Qihang Wang, Tianci Gao, Haichuan Tang, et al.
Measurement (2021) Vol. 182, pp. 109672-109672
Closed Access | Times Cited: 22
A novel symplectic relevance matrix machine method for intelligent fault diagnosis of roller bearing
Haiyang Pan, Haifeng Xu, Jinde Zheng
Expert Systems with Applications (2021) Vol. 192, pp. 116400-116400
Closed Access | Times Cited: 21
Improved bias value and new membership function to enhance the performance of fuzzy support vector Machine
Yogendran Dhanasekaran, M. Punniyamoorthy
Expert Systems with Applications (2022) Vol. 208, pp. 118003-118003
Closed Access | Times Cited: 12
Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context
Peng Jian-gang, Guang Xia, Yue Li, et al.
Expert Systems with Applications (2022) Vol. 209, pp. 118379-118379
Closed Access | Times Cited: 12
Nonlinear process monitoring based on decentralized generalized regression neural networks
Ting Lan, Chudong Tong, Haizhen Yu, et al.
Expert Systems with Applications (2020) Vol. 150, pp. 113273-113273
Closed Access | Times Cited: 19
DGTL-Net: A Deep Generative Transfer Learning Network for Fault Diagnostics on New Hard Disks
Chang Shi, Zhenyu Wu, Xiaomeng Lv, et al.
Expert Systems with Applications (2020) Vol. 169, pp. 114379-114379
Closed Access | Times Cited: 14
A Comprehensive Study on Traffic Sign Detection in ITS
Surabhi Purwar, Rashmi Chaudhry
(2023), pp. 173-179
Closed Access | Times Cited: 5
Research on a Fault Diagnosis Method for the Braking Control System of an Electric Multiple Unit Based on Deep Learning Integration
Yueheng Wang, Haixiang Lin, Dong Li, et al.
Machines (2024) Vol. 12, Iss. 1, pp. 70-70
Open Access | Times Cited: 1
Improving ridership by predicting train occupancy levels
Muhammad Awais Shafique
Journal of Public Transportation (2024) Vol. 26, pp. 100092-100092
Open Access | Times Cited: 1
Application of artificial intelligence hybrid models in safety assessment of submarine pipelines: Principles and methods
Shenwen Zhang, Anmin Zhang, Pengxv Chen, et al.
Ocean Engineering (2024) Vol. 312, pp. 119203-119203
Closed Access | Times Cited: 1
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