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 parallel ensemble optimization and transfer learning based intelligent fault diagnosis framework for bearings
Guiting Tang, Cai Yi, Lei Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107407-107407
Closed Access | Times Cited: 13

Showing 13 citing articles:

Intelligent Fault Diagnosis of Domain Adversarial Bearings for Fusion Attention Mechanisms Under Varying Working Conditions
Jiajun Pan, Ke Zhang, Bin Jiang, et al.
Lecture notes in electrical engineering (2025), pp. 86-95
Closed Access

The PSQSgram: A new adaptive multi-channel periodic pulse extraction method for bearing fault diagnosis
Jie Zhou, Kehan Ge, Yiping Shen, et al.
Expert Systems with Applications (2025) Vol. 277, pp. 127162-127162
Closed Access

Multilevel feature encoder for transfer learning-based fault detection on acoustic signal
Dezheng Wang, Congyan Chen
Information Fusion (2025), pp. 103128-103128
Closed Access

An Improved Fault Diagnosis Method for Rolling Bearings Based on 1D_CNN Considering Noise and Working Condition Interference
Kai Huang, Linbo Zhu, Zhijun Ren, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 383-383
Open Access | Times Cited: 3

Intra-domain self generalization network for intelligent fault diagnosis of bearings under unseen working conditions
Kai Huang, Zhijun Ren, Linbo Zhu, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 102997-102997
Closed Access | Times Cited: 1

Unsupervised Learning for Machinery Adaptive Fault Detection Using Wide-Deep Convolutional Autoencoder with Kernelized Attention Mechanism
Hao Yan, X.T. Si, Jianqiang Liang, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8053-8053
Open Access | Times Cited: 1

Fault Diagnosis and Fault-Tolerant Control of Helicopters
Bin Jiang, Ke Zhang, Yuan Lu, et al.
Elsevier eBooks (2024)
Closed Access

Deep Dive: Enhancing Coral Reef Conservation through ResNet50 pre-trained enabled CNN Monitoring
Khushi Mittal, Kanwarpartap Singh Gill, Kapil Rajput, et al.
2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) (2024) Vol. 52, pp. 1-5
Closed Access

A new indirect transfer fault diagnosis method based on feature separation
Chenhui Qian, Zhaojun Yang, Jialong He, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112058-112058
Closed Access

TensorCRO: A TensorFlow‐based implementation of a multi‐method ensemble for optimization
Alberto Palomo-Alonso, Vinícius G. Costa, Luis Saavedra, et al.
Expert Systems (2024)
Open Access

Towards Sustainable Seas Utilizing VGG19 Empowered Coral Health Evaluation
Ruchika Bhuria, Kanwarpartap Singh Gill, Nitin Thapliyal, et al.
(2024) Vol. 52, pp. 835-839
Closed Access

Deep Diving into VGG19 CNN Model driven Coral Health Monitoring for Sustainable Reef Conservation
Pratham Kaushik, Kanwarpartap Singh Gill, Nitin Thapliyal, et al.
(2024), pp. 842-846
Closed Access

Higher-Order Spectral Analysis and Artificial Intelligence for Diagnosing Faults in Electrical Machines: An Overview
Miguel Martínez, José A. Antonino-Daviu, Larisa Dunai, et al.
Mathematics (2024) Vol. 12, Iss. 24, pp. 4032-4032
Open Access

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