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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:

Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 143, pp. 108504-108504
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Optimized hybrid ensemble learning approaches applied to very short-term load forecasting
Marcos Yamasaki, Roberto Zanetti Freire, Laio Oriel Seman, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109579-109579
Open Access | Times Cited: 84
Ensemble learning methods using the Hodrick–Prescott filter for fault forecasting in insulators of the electrical power grids
Laio Oriel Seman, Stéfano Frizzo Stefenon, Viviana Cocco Mariani, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 152, pp. 109269-109269
Open Access | Times Cited: 46
Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 46
A floating offshore platform motion forecasting approach based on EEMD hybrid ConvLSTM and chaotic quantum ALO
Da Li, Meirong Jiang, Mingwei Li, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110487-110487
Closed Access | Times Cited: 44
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3119-3134
Closed Access | Times Cited: 23
Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
Lucas de Azevedo Takara, Ana Clara Teixeira, Hamed Yazdanpanah, et al.
Applied Energy (2024) Vol. 369, pp. 123487-123487
Closed Access | Times Cited: 23
Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Luiza Scapinello Aquino da Silva, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 157, pp. 109876-109876
Open Access | Times Cited: 18
Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values
Vule Mizdraković, Maja Kljajić, Miodrag Živković, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112026-112026
Open Access | Times Cited: 17
Cooperative ensemble learning model improves electric short-term load forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Gabriel Trierweiler Ribeiro, et al.
Chaos Solitons & Fractals (2022) Vol. 166, pp. 112982-112982
Closed Access | Times Cited: 48
CO and NOx emissions prediction in gas turbine using a novel modeling pipeline based on the combination of deep forest regressor and feature engineering
Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Viviana Cocco Mariani
Fuel (2023) Vol. 355, pp. 129366-129366
Closed Access | Times Cited: 33
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110864-110864
Closed Access | Times Cited: 25
One-step vs horizon-step training strategies for multi-step traffic flow forecasting with direct particle swarm optimization grid search support vector regression and long short-term memory
Mas Omar, Fitri Yakub, Shahrum Shah Abdullah, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124154-124154
Closed Access | Times Cited: 13
Seq2Seq-LSTM With Attention for Electricity Load Forecasting in Brazil
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IEEE Access (2024) Vol. 12, pp. 30020-30029
Open Access | Times Cited: 8
An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting
Dongchuan Yang, Mingzhu Li, Ju’e Guo, et al.
Applied Energy (2024) Vol. 375, pp. 124057-124057
Closed Access | Times Cited: 8
Short-term wind speed forecasting based on a novel KANInformer model and improved dual decomposition
Zhiyuan Leng, Chen Lü, Bin Yi, et al.
Energy (2025), pp. 135551-135551
Closed Access | Times Cited: 1
Wavelet LSTM for Fault Forecasting in Electrical Power Grids
Nathielle Waldrigues Branco, Mariana Santos Matos Cavalca, Stéfano Frizzo Stefenon, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8323-8323
Open Access | Times Cited: 38
Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction
Stéfano Frizzo Stefenon, Laio Oriel Seman, Nemesio Fava Sopelsa Neto, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6118-6118
Open Access | Times Cited: 21
Outage duration prediction under typhoon disaster with stacking ensemble learning
Hui Hou, Chao Liu, Ruizeng Wei, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109398-109398
Closed Access | Times Cited: 20
A new intelligent hybrid forecasting method for power load considering uncertainty
Guo‐Feng Fan, Ying-Ying Han, Jingjing Wang, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111034-111034
Closed Access | Times Cited: 20
The Sustainability Concept: A Review Focusing on Energy
Rafael Ninno Muniz, Carlos Tavares da Costa Júnior, William Gouvêa Buratto, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14049-14049
Open Access | Times Cited: 19
Short-term wind speed forecasting based on adaptive secondary decomposition and robust temporal convolutional network
Guowei Zhang, Yi Zhang, Hui Wang, et al.
Energy (2023) Vol. 288, pp. 129618-129618
Closed Access | Times Cited: 19
A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Sibo Yang, Wendong Yang, Xiaodi Wang, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117590-117590
Closed Access | Times Cited: 17
Centralized decomposition approach in LSTM for Bitcoin price prediction
Eunho Koo, Geonwoo Kim
Expert Systems with Applications (2023) Vol. 237, pp. 121401-121401
Closed Access | Times Cited: 16
A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market
Hao Yan, Xiaodi Wang, Jianzhou Wang, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122912-122912
Closed Access | Times Cited: 16
Multimodal deep learning water level forecasting model for multiscale drought alert in Feiyun River basin
Rui Dai, Wanliang Wang, Zhang Ren-gong, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122951-122951
Closed Access | Times Cited: 13
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