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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:

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

Showing 11 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
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
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 Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms
Adriano Liso, Angelo Cardellicchio, Cosimo Patruno, et al.
IEEE Access (2024) Vol. 12, pp. 93911-93923
Open Access | Times Cited: 6
A Vision of Intelligent Train Control
Francesco Flammini, Lorenzo De Donato, Alessandro Fantechi, et al.
Lecture notes in computer science (2022), pp. 192-208
Open Access | Times Cited: 17
Development of an Operational Digital Twin of a Freight Car Braking System for Fault Diagnosis
Gabriel Davidyan, Jacob Bortman, Ron S. Kenett
Advanced Theory and Simulations (2024) Vol. 7, Iss. 6
Open Access | Times Cited: 3
Decentralized Most Permissive Observer Architecture for Brake Leakage Diagnosis in Automotive Systems
José A. Matute, Milad Khaleghi, Ali Karimoddini
IEEE Access (2024) Vol. 12, pp. 110457-110468
Open Access | Times Cited: 1
Optimal allocation method of electric/air braking force of high-speed train considering axle load transfer
Feng Guo, Jing He
High-speed Railway (2024) Vol. 2, Iss. 2, pp. 77-84
Open Access
A Globally Optimized Fault Diagnosis Model Based on Generative Flow Model for Imbalanced Data
Junxiong Li, Wenhua Jiao, Yudou Xiong, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016025-016025
Closed Access
Fault diagnosis for high‐speed train braking system based on disentangled causal representation learning
Chong Wang, Jie Liu
Expert Systems (2022) Vol. 40, Iss. 3
Closed Access | Times Cited: 1
Multi-scale Memory Residual Network Based Deep Learning Model for Network Traffic Anomaly Detection
M. Jayakrishna, V. Selvakumar, Atul Kumar, et al.
Lecture notes in networks and systems (2023), pp. 475-482
Closed Access
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