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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:

Faulty feeder detection for single phase-to-ground faults in distribution networks based on patch-to-patch CNN and feeder-to-feeder LSTM
Jiawei Yuan, Zaibin Jiao
International Journal of Electrical Power & Energy Systems (2022) Vol. 147, pp. 108909-108909
Closed Access | Times Cited: 17

Showing 17 citing articles:

Enhancing hydroelectric inflow prediction in the Brazilian power system: A comparative analysis of machine learning models and hyperparameter optimization for decision support
Evandro Cardozo da Silva, Erlon Cristian Finardi, Stéfano Frizzo Stefenon
Electric Power Systems Research (2024) Vol. 230, pp. 110275-110275
Closed Access | Times Cited: 9
Multi-scale split dual calibration network with periodic information for interpretable fault diagnosis of rotating machinery
Yongyi Chen, Dan Zhang, Hongjie Ni, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106181-106181
Closed Access | Times Cited: 14
Faulty-Feeder Detection for Single Phase-to-Ground Faults in Distribution Networks Based on Waveform Encoding and Waveform Segmentation
Jiawei Yuan, Zaibin Jiao
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 5, pp. 4100-4115
Closed Access | Times Cited: 11
Fault diagnosis of distribution network based on time constraint intuition fuzzy Petri nets
Chuannuo Xu, Xuezhen Cheng, Xueshan Zhuang, et al.
Deleted Journal (2025), pp. 100034-100034
Open Access
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
A Prediction-Based Anomaly Detection Method for Traffic Flow Data with Multi-Domain Feature Extraction
Xianguang Jia, Jinfeng Qu, Yingying Lyu, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3234-3234
Open Access
Enhancing fault detection and classification in distribution transformers using non-contact magnetic measurements: A comparative study of tree models and neural networks
S.N.Tirumala Rao, Syed Ali Abbas Kazmi, Muhammad Iftikhar, et al.
Energy Reports (2025) Vol. 13, pp. 3469-3488
Closed Access
A communication-less islanding detection scheme for hybrid distributed generation systems using recurrent neural network
Arif Hussain, Arif Mehdi, Chul‐Hwan Kim
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109659-109659
Open Access | Times Cited: 5
Semantic Segmentation-Based Intelligent Threshold-Free Feeder Detection Method for Single-Phase Ground Fault in Distribution Networks
Hong Cui, Heng-Yi Qiu, Jian‐Hong Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-9
Open Access | Times Cited: 5
Fault Diagnosis of Highway Machinery Hydraulic System Based on LS-TF
M Wang, Yi Wan, Xichang Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-11
Closed Access | Times Cited: 3
Multimodal feature enhanced Bi-LSTM model for harmonic power load identification in distribution networks
Renzeng Yang, Shuang Peng, Gang Yao
Journal of Power Electronics (2024)
Closed Access
Predicting China's thermal coal price: Does multivariate decomposition-integrated forecasting model with window rolling work?
Qihui Shao, Yongqiang Du, Wenxuan Xue, et al.
Resources Policy (2024) Vol. 99, pp. 105410-105410
Closed Access
A high resistance grounding fault identification method for distribution network considering topological connection
Ming Deng, Yuan Gao
Journal of Physics Conference Series (2024) Vol. 2914, Iss. 1, pp. 012027-012027
Open Access
High impedance fault classification in microgrids using a transformer-based model with time series harmonic synchrophasors under data quality issues
Dionatan A. G. Cieslak, Miguel Moreto, André Eugênio Lazzaretti, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14017-14034
Closed Access
Research on single-phase grounding fault detection method based on vision transformer
Ting Wang, Guanhua Li, Shicong Sun, et al.
4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022) (2023), pp. 112-112
Closed Access
Faulty feeder selection based on improved Hough transform in resonant grounded distribution networks
Xiaowei Wang, Xinyu Qu, Liang Guo, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 156, pp. 109727-109727
Open Access
A Data-Driven Framework Based on Deep Learning with Self-Attention Mechanism for Fault Detection in Power Distribution Networks
Ming Lu, Guang Feng, Suhui Huang, et al.
(2023), pp. 1-6
Closed Access
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