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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:

ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting
Slawek Smyl, Grzegorz Dudek, Paweł Pełka
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 11346-11358
Open Access | Times Cited: 17

Showing 17 citing articles:

Enhancing Load Forecasting Accuracy in Smart Grids: A Novel Parallel Multichannel Network Approach Using 1D CNN and Bi‐LSTM Models
Syed Muhammad Hasanat, R. Younis, Saad Alahmari, et al.
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 6
New deep recurrent hybrid artificial neural network for forecasting seasonal time series
Özlem Karahasan, Eren Baş, Erol Eğrioğlu
Granular Computing (2024) Vol. 9, Iss. 1
Closed Access | Times Cited: 5
CDTDNet: A Neural Network for Capturing Deep Temporal Dependencies in Time Series
Chuanjiang He, Zhenhong Jia, Jie Hu, et al.
Information Sciences (2025), pp. 121995-121995
Closed Access
TimeGPT in load forecasting: A large time series model perspective
Wenlong Liao, Shouxiang Wang, Dechang Yang, et al.
Applied Energy (2024) Vol. 379, pp. 124973-124973
Open Access | Times Cited: 3
Load forecasting method based on CNN and extended LSTM
Chong Wang, Xiang Li, Yan Shi, et al.
Energy Reports (2024) Vol. 12, pp. 2452-2461
Open Access | Times Cited: 2
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study
Grzegorz Dudek, Slawek Smyl, Paweł Pełka
Contributions to statistics (2023), pp. 171-185
Closed Access | Times Cited: 6
Minimum and Maximum Pattern-Based Self-Organized Feature Engineering: Fibromyalgia Detection Using Electrocardiogram Signals
Veysel Yusuf Cambay, Abdul Hafeez‐Baig, Emrah Aydemir, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2708-2708
Open Access | Times Cited: 1
Stacking for Probabilistic Short-Term Load Forecasting
Grzegorz Dudek
Lecture notes in computer science (2024), pp. 3-18
Closed Access | Times Cited: 1
Multi-swarm multi-tasking ensemble learning for multi-energy demand prediction
Hui Song, Boyu Zhang, Mahdi Jalili, et al.
Applied Energy (2024) Vol. 377, pp. 124553-124553
Open Access | Times Cited: 1
METAFORE: algorithm selection for decomposition-based forecasting combinations
Moisés Santos, André C. P. L. F. de Carvalho, Carlos Soares
International Journal of Data Science and Analytics (2024)
Closed Access
Network Traffic Forecasting Model Based on Improved Fireworks Algorithm Optimized CNN-BiGRU
Han Qi, Abdullah Gani, dianshuo Fu, et al.
(2024), pp. 802-805
Closed Access
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
An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning
Luis Balderas, Miguel Lastra, José M. Benítez
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 120-120
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
NEMO: a neural motion estimator for mooring line failure detection of offshore platforms.
Amir Muhammed Sa'ad
(2023)
Open Access
Predicting Financial Time Series for Value Investment
Krasin Georgiev, Kiril Koparanov, Daniela Minkovska
International Journal of Membrane Science and Technology (2023) Vol. 10, Iss. 3, pp. 1655-1666
Open Access
Ensemble Learning by Stacking for Deterministic and Probabilistic Short-term Load Forecasting
Grzegorz Dudek
Research Square (Research Square) (2023)
Open Access
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