Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Generative adversarial network to alleviate information insufficiency in intelligent fault diagnosis by generating continuations of signals
Zhenglin Dai, Liping Zhao, Ke Wang, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110784-110784
Closed Access | Times Cited: 12

Showing 12 citing articles:

A bearing fault data augmentation method based on hybrid-diversity loss diffusion model and parameter transfer
Yuan Wei, Zhijun Xiao, Xiangyan Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110567-110567
Closed Access | Times Cited: 6
Enhanced domain transfer deep fuzzy echo state network for rotating machinery fault diagnosis based on current signal
Fei Jiang, Weiqi Lin, Shaohui Zhang, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112033-112033
Closed Access | Times Cited: 5
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Reservoir Porosity Interpretation Method and Application Based on Intelligent Algorithms
Tingting Wei, Jingling Xu, Lianteng Song, et al.
Geoenergy Science and Engineering (2025), pp. 213650-213650
Closed Access
Research on Cross-Domain Generative Diagnosis for Oil and Gas Pipeline Defect Based on Limited Field Data
Junming Yao, Wei Liang, Zhongmin Xiao
Energy (2025), pp. 135086-135086
Closed Access
Contrast Learning with Hard Example Mining for Few-shot Fault Diagnosis of Rolling Bearings
Zenghui An, Houliang Wang, Yinglong Yan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106121-106121
Closed Access | Times Cited: 2
Review of imbalanced fault diagnosis technology based on generative adversarial networks
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 99-124
Open Access | Times Cited: 1
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
An Interpretable Hybrid Framework Combining Convolution Latent Vectors with Transformers Based Attention Mechanism for Rolling Element Fault Detection and Classification
Ali Saeed Khan, Muhammad Usman Akram, Muazzam A. Khan, et al.
(2024)
Closed Access
Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation
Enzo Losi, Lucrezia Manservigi, Pier Ruggero Spina, et al.
Journal of Engineering for Gas Turbines and Power (2024) Vol. 147, Iss. 3
Closed Access
An Interpretable Hybrid Framework Combining Convolution Latent Vectors with Transformer based Attention Mechanism for Rolling Element Fault Detection and Classification
Ali Saeed, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Heliyon (2024) Vol. 10, Iss. 21, pp. e38993-e38993
Open Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Page 1

Scroll to top