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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:

Wind Power Forecasting with Deep Learning Networks: Time-Series Forecasting
Wen‐Hui Lin, Ping Wang, Kuo‐Ming Chao, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10335-10335
Open Access | Times Cited: 55

Showing 26-50 of 55 citing articles:

Toward an Enhanced Stock Market Forecasting with Machine Learning and Deep Learning Models
Rihab Najem, Ayoub Bahnasse, Mohamed Talea
Procedia Computer Science (2024) Vol. 241, pp. 97-103
Open Access | Times Cited: 2
Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review
Hibba Yousef, Brigitta Malagurski Tortei, Filippo Castiglione
Journal of Neurology (2024)
Open Access | Times Cited: 2
Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation
Oshan Mudannayake, Disni Rathnayake, J. Dinal Herath, et al.
IEEE Access (2022) Vol. 10, pp. 122570-122585
Open Access | Times Cited: 10
A novel method for predicting wind speed using data decomposition-based reformer model
Bala Saibabu Bommidi, Kiran Teeparthi
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 227-249
Closed Access | Times Cited: 4
Wind Power Prediction using Transformers: A Federated Learning Approach
S. Shivkumar, Rimjhim Padam Singh, Priyanka Kumar
2022 8th International Conference on Signal Processing and Communication (ICSC) (2023), pp. 491-497
Closed Access | Times Cited: 4
Emerging nano-engineered materials for protection of wind energy applications photovoltaic based nanomaterials
Vineet Tirth, Ali Algahtani, Abdulaziz H. Alghtani, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 56, pp. 103101-103101
Closed Access | Times Cited: 3
Deep-Learning Model Selection and Parameter Estimation from a Wind Power Farm in Taiwan
Wen‐Hui Lin, Ping Wang, Kuo‐Ming Chao, et al.
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7067-7067
Open Access | Times Cited: 5
Wind Power Forecasting Using Deep Learning Method: A Review
Aditi Choudhary, Prerna Jain, Ashish Prajesh
(2023)
Closed Access | Times Cited: 2
Mid-to-Long Range Wind Forecast in Brazil Using Numerical Modeling and Neural Networks
Ricardo Martins Campos, Ronaldo Maia de Jesus Palmeira, Henrique P. P. Pereira, et al.
Wind (2022) Vol. 2, Iss. 2, pp. 221-245
Open Access | Times Cited: 4
Improving the Forecast Accuracy of Wind Power by Leveraging Multiple Hierarchical Structure
Lucas English, Mahdi Abolghasemi
(2024)
Open Access
Modelagem da capacidade de geração de energia eólica brasileira: uma análise multivariada com redes neurais
Daiane Rodrigues dos Santos, Tuany Barcellos, Tiago Nascimento da Costa, et al.
OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA (2024) Vol. 22, Iss. 3, pp. e3559-e3559
Open Access
Short-Term Wind Speed Prediction Based on Singular Spectrum Analysis and Sample Convolution and Interaction Combined with Framework for Modal Migration
Haiyun Deng, Z.R. Shu, Pak Wai Chan, et al.
(2024)
Closed Access
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
Lucas English, Mahdi Abolghasemi
Sustainable Energy Grids and Networks (2024) Vol. 40, pp. 101517-101517
Open Access
Enhancing COVID-19 Forecasts Through Multivariate Deep Learning Models
Jooha Oh, Zhe Liu, Kyulhee Han, et al.
Research Square (Research Square) (2024)
Open Access
Predicting wind power using LSTM, Transformer, and other techniques
M. Arunkumar, R. K., S. Rajesh, et al.
Clean Technologies and Recycling (2024) Vol. 4, Iss. 2, pp. 125-145
Open Access
Semi-Autogenous Mill Power Consumption Prediction Based on CACN-LSTM
Dingchao Zhang, Xin Xiong, Chongyang Shao, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 2-2
Open Access
CTRL: Collaborative Temporal Representation Learning for Wind Power Forecasting
Yue Hu, Senzhen Wu, Chen Yu, et al.
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2024), pp. 1219-1227
Closed Access
TEDformer: Temporal Feature Enhanced Decomposed Transformer for Long-term Series Forecasting
Jiayi Fan, Bingyao Wang, Dong Bian
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 1
Demand and Price Forecasting Using Deep Learning Algorithms
Narayana Darapaneni, Anwesh Reddy Paduri, Sourav Kundu, et al.
Lecture notes in computer science (2023), pp. 735-746
Closed Access | Times Cited: 1
Pearson-ShuffleDarkNet37-SE-Fully Connected-Net for Fault Classification of the Electric System of Electric Vehicles
Quan Lu, Shan Chen, Linfei Yin, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13141-13141
Open Access | Times Cited: 1
Deep Learning Approach for Wind Energy Time-Series Forecasting with Environmental Factors
Usama Mozammil Iqbal, Jayroop Ramesh, A. R. Al-Ali
(2023), pp. 111-115
Closed Access | Times Cited: 1
A Novel Method for State of Charge Estimation in Lithium-Ion Batteries Using Temporal Convolutional Network and Multi-Verse Optimization
Yuanmao Li, Guixiong Liu, Wei Deng
Batteries (2023) Vol. 10, Iss. 1, pp. 12-12
Open Access | Times Cited: 1
SFINet: Shuffle–and–Fusion Interaction Networks for Wind Power Forecasting
Xu Zhang, Cheng Xiao, Tieling Zhang
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2253-2253
Open Access | Times Cited: 2
Assessment of Different Deep Learning Models for Hardware Requirements and Pre-Processing Steps for Efficient Wind Power Forecasting
Amit Rai, Pulkit Kushwaha, Shubhankar Pandey, et al.
(2023), pp. 690-696
Closed Access
A Probabilistic Estimation of Transmission Congestion for Mitigating Wind Power Curtailments
Minju Lee, Jin Hur
IEEE Access (2023) Vol. 11, pp. 135493-135506
Open Access

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