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:

Short-term load forecasting using spatial-temporal embedding graph neural network
Chuyuan Wei, Dechang Pi, Mingtian Ping, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109873-109873
Closed Access | Times Cited: 13

Showing 13 citing articles:

Integrated Approaches in Resilient Hierarchical Load Forecasting via TCN and Optimal Valley Filling Based Demand Response Application
A. Selim Türkoğlu, Burcu Erkmen, Yavuz Eren, et al.
Applied Energy (2024) Vol. 360, pp. 122722-122722
Closed Access | Times Cited: 6

Day-ahead load forecast based on Conv2D-GRU_SC aimed to adapt to steep changes in load
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 302, pp. 131814-131814
Closed Access | Times Cited: 4

Traffic prediction by graph transformer embedded with subgraphs
Hyung-Jun Moon, Sung‐Bae Cho
Expert Systems with Applications (2025) Vol. 272, pp. 126799-126799
Closed Access

Interpretable prediction of short-term load curve for extreme scenarios based on mixture of experts model
Yaoxian Liu, Kaixin Zhang, Songsong Chen, et al.
Electric Power Systems Research (2025) Vol. 247, pp. 111730-111730
Closed Access

Short-term load forecasting by GRU neural network and DDPG algorithm for adaptive optimization of hyperparameters
Xin He, Wenlu Zhao, Zhijun Gao, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111119-111119
Closed Access | Times Cited: 3

A novel trend and periodic characteristics enhanced decoupling framework for multi-energy load prediction of regional integrated energy systems
Wei Zhuang, Qingyu Xi, Chenxi Lu, et al.
Electric Power Systems Research (2024) Vol. 237, pp. 111028-111028
Closed Access | Times Cited: 2

MLFGCN: short-term residential load forecasting via graph attention temporal convolution network
Ding Feng, Dengao Li, Yu Zhou, et al.
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 1

Multi-area short-term load forecasting based on spatiotemporal graph neural network
Yunlong Lv, Li Wang, Dunhua Long, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109398-109398
Closed Access | Times Cited: 1

Cumulant Learning: Highly Accurate and Computationally Efficient Load Pattern Recognition Method for Probabilistic STLF at the LV Level
Igor Manojlović, Goran Švenda, Aleksandar Erdeljan, et al.
IEEE Transactions on Smart Grid (2024) Vol. 16, Iss. 2, pp. 1938-1949
Closed Access

Stochastic Approaches to Energy Markets: From Stochastic Differential Equations to Mean Field Games and Neural Network Modeling
Luca Di Persio, Mohammed Alruqimi, Matteo Garbelli
Energies (2024) Vol. 17, Iss. 23, pp. 6106-6106
Open Access

Day-ahead bus load forecasting method based on fully connected spatial-temporal graph attention network
Yucong Chen, Bin Li, Biyun Chen, et al.
Electric Power Systems Research (2024) Vol. 241, pp. 111294-111294
Closed Access

A short term load forecasting method based on sensitive meteorological factor extraction and BiGRU-Attention network
Mengfan Zhang, Danlei Xu, Puxin Shi, et al.
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) (2023), pp. 680-684
Closed Access

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