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:

A deep model for short-term load forecasting applying a stacked autoencoder based on LSTM supported by a multi-stage attention mechanism
Zahra Fazlipour, Elaheh Mashhour, Mahmood Joorabian
Applied Energy (2022) Vol. 327, pp. 120063-120063
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning
Dian Zhuang, Vincent J.L. Gan, Zeynep Duygu Tekler, et al.
Applied Energy (2023) Vol. 338, pp. 120936-120936
Closed Access | Times Cited: 100

Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction
Anne Carolina Rodrigues Klaar, Stéfano Frizzo Stefenon, Laio Oriel Seman, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3202-3202
Open Access | Times Cited: 53

Load forecasting for regional integrated energy system based on complementary ensemble empirical mode decomposition and multi-model fusion
Jian Shi, Jiashen Teh
Applied Energy (2023) Vol. 353, pp. 122146-122146
Closed Access | Times Cited: 52

A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction
Guangzhao Zhou, Zanquan Guo, Simin Sun, et al.
Applied Energy (2023) Vol. 344, pp. 121249-121249
Closed Access | Times Cited: 43

Short-term power load forecasting using bidirectional gated recurrent units-based adaptive stacked autoencoder
Jizhe Dong, Yi-Wen Jiang, Peiguang Chen, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 165, pp. 110459-110459
Closed Access | Times Cited: 1

Short-term load forecasting based on WM algorithm and transfer learning model
Nan Wei, Chuang Yin, Lihua Yin, et al.
Applied Energy (2023) Vol. 353, pp. 122087-122087
Closed Access | Times Cited: 36

A framework for electricity load forecasting based on attention mechanism time series depthwise separable convolutional neural network
Huifeng Xu, Feihu Hu, Xinhao Liang, et al.
Energy (2024) Vol. 299, pp. 131258-131258
Closed Access | Times Cited: 12

Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning
Han Wang, Jie Yan, Jiawei Zhang, et al.
Energy (2024) Vol. 304, pp. 132188-132188
Closed Access | Times Cited: 8

A novel multivariate combined power load forecasting system based on feature selection and multi-objective intelligent optimization
Qianyi Xing, Xiaojia Huang, Jianzhou Wang, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122970-122970
Closed Access | Times Cited: 17

Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system
Yagang Zhang, Hui Wang, Jingchao Wang, et al.
Energy (2024) Vol. 292, pp. 130492-130492
Closed Access | Times Cited: 6

Optimal planning for integrated electricity and heat systems using CNN-BiLSTM-attention network forecasts
Feng Li, Shiheng Liu, Tian-Hu Wang, et al.
Energy (2024) Vol. 309, pp. 133042-133042
Closed Access | Times Cited: 6

Monitoring high-carbon industry enterprise emission in carbon market: A multi-trusted approach using externally available big data
Bixuan Gao, Xiangyu Kong, Gaohua Liu, et al.
Journal of Cleaner Production (2024) Vol. 466, pp. 142729-142729
Closed Access | Times Cited: 5

Integrating Autoencoder and Decision Tree Models for Enhanced Energy Consumption Forecasting in Microgrids: A Meteorological Data-Driven Approach in Djibouti
Fathi Farah Fadoul, Abdoulaziz Ahmed Hassan, Ramazan Çağlar
Results in Engineering (2024), pp. 103033-103033
Open Access | Times Cited: 5

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

Spatiotemporal Sequence-to-Sequence Clustering for Electric Load Forecasting
Moses Amoasi Acquah, Yuwei Jin, Byeong-Chan Oh, et al.
IEEE Access (2023) Vol. 11, pp. 5850-5863
Open Access | Times Cited: 14

Joint Prediction of Li-ion Battery State of Charge and State of Health Based on the DRSN-CW-LSTM Model
Xiaocong Wang, Zhenghang Hao, Zhuo Chen, et al.
IEEE Access (2023) Vol. 11, pp. 70263-70273
Open Access | Times Cited: 12

A new hybrid model for multi-step WTI futures price forecasting based on self-attention mechanism and spatial–temporal graph neural network
Geya Zhao, Minggao Xue, Li Cheng
Resources Policy (2023) Vol. 85, pp. 103956-103956
Closed Access | Times Cited: 11

ANN-LSTM-A Water Consumption Prediction Based on Attention Mechanism Enhancement
Xin Zhou, Xin Meng, Zhenyu Li
Energies (2024) Vol. 17, Iss. 5, pp. 1102-1102
Open Access | Times Cited: 3

Short-term industrial load forecasting based on error correction and hybrid ensemble learning
Chaodong Fan, Shanghao Nie, Leyi Xiao, et al.
Energy and Buildings (2024) Vol. 313, pp. 114261-114261
Closed Access | Times Cited: 3

A Short-Term Load Forecasting Model Based on Crisscross Grey Wolf Optimizer and Dual-Stage Attention Mechanism
Renxi Gong, Xianglong Li
Energies (2023) Vol. 16, Iss. 6, pp. 2878-2878
Open Access | Times Cited: 9

Short-term load forecasting method of IES based on RLA neural network with dual signal processing
You Lv, Yijun Shi, Zeyang Li, et al.
Energy and Buildings (2024) Vol. 309, pp. 114074-114074
Closed Access | Times Cited: 2

A hybrid approach based machine learning models in electricity markets
William Gomez, Fu‐Kwun Wang, Shih‐Che Lo
Energy (2023) Vol. 289, pp. 129988-129988
Closed Access | Times Cited: 7

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