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:

Graph Convolutional Networks based short-term load forecasting: Leveraging spatial information for improved accuracy
Haris Mansoor, Muhammad Shuzub Gull, Huzaifa Rauf, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110263-110263
Closed Access | Times Cited: 5

Showing 5 citing articles:

EDformer family: End-to-end multi-task load forecasting frameworks for day-ahead economic dispatch
Zhirui Tian, Weican Liu, Jiahao Zhang, et al.
Applied Energy (2025) Vol. 383, pp. 125319-125319
Closed Access

MSGCN: Multi-task Spectral Graph Convolutional model for identification of branch parameters considered grid topology
Ziheng Liu, Bo‐Chao Zheng, Min Xia, et al.
Electric Power Systems Research (2025) Vol. 243, pp. 111525-111525
Closed Access

Forecasting data-driven system strength level for inverter-based resources-integrated weak grid systems using multi-objective machine learning algorithms
Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111112-111112
Open Access | Times Cited: 2

A two-stage electricity consumption forecasting method integrated hybrid algorithms and multiple factors
Ze Wang, Degui Yao, Ying Shi, et al.
Electric Power Systems Research (2024) Vol. 234, pp. 110600-110600
Closed Access | Times Cited: 1

Medium–Long-Term PV Output Forecasting Based on the Graph Attention Network with Amplitude-Aware Permutation Entropy
Shuyi Shen, Yingjing He, Gaoxuan Chen, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4187-4187
Open Access

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