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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:

LightGBM-Based Fault Diagnosis of Rotating Machinery Under Changing Working Conditions Using Modified Recursive Feature Elimination
Alireza Saberi, Anouar Belahcen, Jan Sobra, et al.
IEEE Access (2022) Vol. 10, pp. 81910-81925
Open Access | Times Cited: 24

Showing 24 citing articles:

New health indicators for the monitoring of bearing failures under variable loads
Abdel wahhab Lourari, Abdenour Soualhi, Kamal Medjaher, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 2922-2941
Closed Access | Times Cited: 6
Priori-distribution-guided adaptive sparse attention for cross-domain feature mining in diesel engine fault diagnosis
He Li, Jinjie Zhang, Zhenjing Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107975-107975
Closed Access | Times Cited: 6
Advanced fault detection technique of three phase induction motor: comprehensive review
B. Hafez Bahgat, Enas A. Elhay, Mahmoud M. Elkholy
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 6
Multi-task dual-level adversarial transfer learning boosted RUL estimation of CNC milling tools
Pei Wang, Jinrui Liu, Jingshuai Qi, et al.
Knowledge-Based Systems (2025), pp. 113152-113152
Closed Access
An Advanced Diagnostic Approach for Broken Rotor Bar Detection and Classification in DTC Controlled Induction Motors by Leveraging Dynamic SHAP Interaction Feature Selection (DSHAP-IFS) GBDT Methodology
Muhammad Amir Khan, Bilal Asad, Toomas Vaimann, et al.
Machines (2024) Vol. 12, Iss. 7, pp. 495-495
Open Access | Times Cited: 4
Enabling efficient cross-building HVAC fault inferences through novel unsupervised domain adaptation methods
Yutian Lei, Cheng Fan, Haihui He, et al.
Building and Environment (2025), pp. 112678-112678
Closed Access
Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach
Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem
Kurdistan Journal of Applied Research (2025) Vol. 10, Iss. 1, pp. 18-34
Open Access
A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis
Weihua Li, Jingke He, Huibin Lin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 9
Advancing bearing fault diagnosis under variable working conditions: a CEEMDAN-SBS approach with vibro-electric signal integration
Abdel wahhab Lourari, Abdenour Soualhi, Tarak Benkedjouh
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 5-6, pp. 2753-2772
Open Access | Times Cited: 3
Induction motor bearing fault classification using deep neural network with particle swarm optimization‐extreme gradient boosting
Chun‐Yao Lee, Edu Daryl C. Maceren
IET Electric Power Applications (2024) Vol. 18, Iss. 3, pp. 297-311
Open Access | Times Cited: 2
Knowledge features enhanced intelligent fault detection with progressive adaptive sparse attention learning for high-power diesel engine
He Li, Fengchun Liu, Xiangxin Kong, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105906-105906
Closed Access | Times Cited: 5
Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting
Chun‐Yao Lee, Edu Daryl C. Maceren
IET Energy Systems Integration (2024)
Open Access | Times Cited: 1
Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance
Tyler Ward, Kouroush Jenab, Jorge Ortega-Moody, et al.
International Journal of Prognostics and Health Management (2024) Vol. 15, Iss. 2
Open Access | Times Cited: 1
Crop Recommender System Based on Ensemble Classifiers
Voshma Reddy Vuyyala, Michael Sadgun Rao Kona, Sai Bhargavi Pusuluri, et al.
(2023), pp. 68-73
Closed Access | Times Cited: 2
Enhanced Bearing Fault Diagnosis Through Trees Ensemble Method and Feature Importance Analysis
Amir Alhams, Ahmed Abdelhadi, Yousif Badri, et al.
Journal of Vibration Engineering & Technologies (2024)
Open Access
Fault Diagnosis of the Electric Multiple Unit Door System by Machine Learning Using Sensor Signal of the Simulator
Gil Hyun Kang, Kyung Sik Kim, Chin Young Chang, et al.
Journal of Electrical Engineering and Technology (2024)
Closed Access
Fault Diagnosis Method for Wind Turbine Gearbox Based on Ensemble-Refined Composite Multiscale Fluctuation-Based Reverse Dispersion Entropy
Xiang Wang, Yang Du
Entropy (2024) Vol. 26, Iss. 8, pp. 705-705
Open Access
A new modeling strategy for the predictive model of chub mackerel (Scomber japonicus) central fishing grounds in the Northwest Pacific Ocean based on machine learning and operational characteristics of the light fishing vessels
Haibin Han, Chen Shang, Bohui Jiang, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access
Prediction of thermally induced axial displacement of mechanical components using LightGBM
Yoshitaka Nakao, Fumiaki YAGI, Tsuyoshi Sato
Journal of Manufacturing Science and Engineering (2024) Vol. 147, Iss. 1
Closed Access
Investigating Bearing and Gear Vibrations with a Micro-electro-mechanical Systems (MEMS) and Machine Learning Approach
Gagandeep Sharma, Tejbir Kaur, Sanjay Kumar Mangal, et al.
Results in Engineering (2024), pp. 103499-103499
Open Access
Intelligent Analog Circuit Soft Fault Diagnosis Based on Multi-level SWT and EM-PCA
Xuanzhong Tang, Wenhai Liang
Circuits Systems and Signal Processing (2024)
Closed Access
Fault Detection and Classification in Electrical Systems: A Machine Learning and Fuzzy Logic-Based System
Davi Carvalho, José F. V. Melo, Eraylson G. Silva, et al.
(2023)
Closed Access | Times Cited: 1
Generation of Unmeasured Loading Levels Data for Condition Monitoring of Induction Machine Using Machine Learning
Md Masum Billah, Alireza Saberi, Ahmed Hemeida, et al.
IEEE Transactions on Magnetics (2023) Vol. 60, Iss. 3, pp. 1-4
Closed Access
Advancing Bearing Fault Diagnosis under Variable Working Conditions: A CEEMDAN-SBS Approach with Vibro-Electric Signal Integration
Abdel wahhab Lourari, Abdenour Soualhi, Tarak BENKEDJOUH
Research Square (Research Square) (2023)
Open Access
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