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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:

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: 16

Showing 16 citing articles:

Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models
José Henrique Kleinübing Larcher, Stéfano Frizzo Stefenon, Leandro dos Santos Coelho, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124856-124856
Closed Access | Times Cited: 6
A seasonal-series LSTM network for irregular urban function zone recognition using sentinel-2 images
Ting Hu, Mengyu Han, Zixuan Guo
Applied Soft Computing (2025), pp. 112876-112876
Closed Access
Ultra short-term wind power prediction based on an improved temporal convolutional network
Xin Zheng, Weicheng Chi, Hanyuan Zhang, et al.
International Journal of Green Energy (2025), pp. 1-21
Closed Access
Mid-term electricity demand forecasting using improved multi-mode reconstruction and particle swarm-enhanced support vector regression
Lei Wang, Xinyu Wang, Zhongchao Zhao
Energy (2024) Vol. 304, pp. 132021-132021
Closed Access | Times Cited: 3
A novel method for aero-engine time-series forecasting based on multi-resolution transformer
Hui-Jie Jin, Yong-Ping Zhao, Mei-Na Pan
Expert Systems with Applications (2024) Vol. 255, pp. 124597-124597
Closed Access | Times Cited: 2
Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Evandro Cardozo da Silva, et al.
Energy (2024), pp. 133918-133918
Closed Access | Times Cited: 2
CEEMD-based Multivariate Financial Time Series Forecasting using a Temporal Fusion Transformer
Raymond H. Ho, Kevin Hung
(2024), pp. 209-215
Closed Access | Times Cited: 1
Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 21, pp. 3437-3451
Open Access | Times Cited: 1
Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers
Bernardo Luis Tuleski, Cristina Keiko Yamaguchi, Stéfano Frizzo Stefenon, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7316-7316
Open Access | Times Cited: 1
Enhancing Infrastructure Observability: Machine Learning for Proactive Monitoring and Anomaly Detection
Darlan Noetzold, Anubis Graciela de Moraes Rossetto, Valderi Reis Quietinho Leithardt, et al.
Journal of Internet Services and Applications (2024) Vol. 15, Iss. 1, pp. 508-522
Open Access | Times Cited: 1
Fake News Management an Approach Using Collaborative Networks
Maykon Mota Pereira, Valderi Reis Quietinho Leithardt
SSRN Electronic Journal (2024)
Closed Access
Ensemble Learning Models for Wind Power Forecasting
Samara Deon, José Donizetti de Lima, Géremi Gilson Dranka, et al.
Advances in intelligent systems and computing (2024), pp. 15-27
Closed Access
Hybrid group method of data handling for time series forecasting of thermal generation dispatch in electrical power systems
William Gouvêa Buratto, Rafael Ninno Muniz, Rodolfo Cardoso, et al.
Research Square (Research Square) (2024)
Open Access
Research on the prediction algorithm of aero engine lubricating oil consumption based on multi-feature information fusion
Qifan Zhou, Yingqing Guo, Kejie Xu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11845-11875
Closed Access
Learning models to forecast toxicity in conversation threads by identifying potential toxic users
Sompalli Ranjith, C. Ravindranath Chowdary, Paras Tiwari
Evolving Systems (2024) Vol. 16, Iss. 1
Closed Access
Exploring Current Trends in Agricultural Commodities Forecasting Methods through Text Mining: Developments in Statistical and Artificial Intelligence Methods
Luana Gonçalves Guindani, Gilson Adamczuk Oliveirai, Matheus Henrique Dal Molin Ribeiro, et al.
Heliyon (2024) Vol. 10, Iss. 23, pp. e40568-e40568
Open Access
Data-driven deformation prediction model for super high arch dams based on a hybrid deep learning approach and feature selection
Yingrui Wu, Fei Kang, Sisi Zhu, et al.
Engineering Structures (2024) Vol. 325, pp. 119483-119483
Closed Access
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