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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:

Adversarial attack and training for deep neural network based power quality disturbance classification
Liangheng Zhang, Congmei Jiang, Zhaosen Chai, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107245-107245
Closed Access | Times Cited: 9

Showing 9 citing articles:

Most influential feature form for supervised learning in voltage sag source localization
Younes Mohammadi, Boštjan Polajžer, Roberto Chouhy Leborgne, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108331-108331
Open Access | Times Cited: 5
ASIGM: An Innovative Adversarial Stego Image Generation Method for Fooling Convolutional Neural Network-Based Image Steganalysis Models
Minji Kim, Youngho Cho, Hweerang Park, et al.
Electronics (2025) Vol. 14, Iss. 4, pp. 764-764
Open Access
Enhancing robustness of cross machine fault diagnosis via an improved domain adversarial neural network and self-adversarial training
Bin Wang, Pengfei Liang, Lijie Zhang, et al.
Measurement (2025), pp. 117113-117113
Closed Access
Enhancing link prediction through adversarial training in deep Nonnegative Matrix Factorization
Reza Mahmoodi, Seyed Amjad Seyedi, Alireza Abdollahpouri, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108641-108641
Closed Access | Times Cited: 1
Optimized decomposition and identification method for multiple power quality disturbances
Zhaoqing Wang, Chang Yanzhao, Chen Jianlei, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 21, pp. 3501-3509
Closed Access | Times Cited: 1
IIR Shelving Filter, Support Vector Machine and k-Nearest Neighbors Algorithm Application for Voltage Transients and Short-Duration RMS Variations Analysis
Vladislav Liubčuk, Gediminas Kairaitis, Virginijus Radziukynas, et al.
Inventions (2024) Vol. 9, Iss. 1, pp. 12-12
Open Access
New Trends for Machine Learning Applications in Future Power Systems
Mohammad Mehdi Amiri, Ali Jalilian, Hamdi Abdi, et al.
Power systems (2024), pp. 89-114
Closed Access
An Ensemble Deep CNN Approach for Power Quality Disturbance Classification: A Technological Route Towards Smart Cities Using Image-Based Transfer
Mirza Waqar Baig, Naeem Iqbal Ratyal, Adil Amin, et al.
Future Internet (2024) Vol. 16, Iss. 12, pp. 436-436
Open Access
Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network
Minan Tang, Hongjie Wang, Jiandong Qiu, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314720-e0314720
Open Access
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