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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:

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis, Syama Sundar Rangapuram, Valentín Flunkert, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 6, pp. 1-36
Open Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

Transformers in Time Series: A Survey
Qingsong Wen, Tian Zhou, Chaoli Zhang, et al.
(2023), pp. 6778-6786
Open Access | Times Cited: 468
Long sequence time-series forecasting with deep learning: A survey
Zonglei Chen, Minbo Ma, Tianrui Li, et al.
Information Fusion (2023) Vol. 97, pp. 101819-101819
Closed Access | Times Cited: 99
A comprehensive review on deep learning approaches for short-term load forecasting
Yavuz Eren, İbrahim Beklan Küçükdemiral
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114031-114031
Open Access | Times Cited: 60
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang, Qingsong Wen, Chaoli Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 10, pp. 6775-6794
Open Access | Times Cited: 45
Explainability and Interpretability in Electric Load Forecasting Using Machine Learning Techniques – A Review
Lukas Baur, Konstantin Ditschuneit, Maximilian Schambach, et al.
Energy and AI (2024) Vol. 16, pp. 100358-100358
Open Access | Times Cited: 19
A Comprehensive Study of Random Forest for Short-Term Load Forecasting
Grzegorz Dudek
Energies (2022) Vol. 15, Iss. 20, pp. 7547-7547
Open Access | Times Cited: 56
Transformer based day-ahead cooling load forecasting of hub airport air-conditioning systems with thermal energy storage
Die Yu, Tong Liu, Kai Wang, et al.
Energy and Buildings (2024) Vol. 308, pp. 114008-114008
Closed Access | Times Cited: 7
Ensemble empirical mode decomposition based deep learning models for forecasting river flow time series
Reetun Maiti, Balagopal G. Menon, Anand Abraham
Expert Systems with Applications (2024) Vol. 255, pp. 124550-124550
Closed Access | Times Cited: 7
Machine-learning-enabled intelligence computing for crisis management in small and medium-sized enterprises (SMEs)
Zichao Zhao, Dexuan Li, Wensheng Dai
Technological Forecasting and Social Change (2023) Vol. 191, pp. 122492-122492
Closed Access | Times Cited: 18
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
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations
Qingqing Long, Zheng Fang, Chen Fang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 1035-1044
Open Access | Times Cited: 6
Is Mamba Effective for Time Series Forecasting?
Zihan Wang, Fanheng Kong, Feng Shi, et al.
(2024)
Open Access | Times Cited: 6
Chaos theory meets deep learning: A new approach to time series forecasting
Bowen Jia, Huyu Wu, Kaiyu Guo
Expert Systems with Applications (2024) Vol. 255, pp. 124533-124533
Closed Access | Times Cited: 6
Evaluating Time-Series Prediction of Temperature, Relative Humidity, and CO2 in the Greenhouse with Transformer-Based and RNN-Based Models
Ju Yeon Ahn, Y.B. Kim, H. W. Park, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 417-417
Open Access | Times Cited: 5
Deep learning models for forecasting sour gas generation in a petroleum refinery
Balakrishnan Dharmalingam, Gnanaprakasam Arul Jesu, Thirumarimurugan Marimuthu
The Canadian Journal of Chemical Engineering (2025)
Closed Access
MSTFCAN: Multiscale sparse temporal-frequency cross attention network for traffic prediction
Haopeng Ma, Xiao‐Ying Huang, Ke Ruan, et al.
Computer Networks (2025), pp. 111035-111035
Closed Access
Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF
Andrea Asperti, Gabriele Raciti, Elisabetta Ronchieri, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 655-655
Open Access
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Sepehr Sharifi, Andrea Stocco, Lionel Briand
ACM Transactions on Software Engineering and Methodology (2025)
Open Access
WT-LSTM for Intensive Care Unit Length-of-Stay Prediction with Real-Time Signal (Preprint)
Yiqun Jiang, Qing Li, Wenli Zhang
(2025)
Closed Access
Brain State Forecasting for Precise Brain Stimulation: Current Approaches and Future Perspectives
Matteo De Matola, Carlo Miniussi
NeuroImage (2025), pp. 121050-121050
Open Access
Deep learning for time series forecasting: a survey
Xiangjie Kong, Zhenghao Chen, Weiyao Liu, et al.
International Journal of Machine Learning and Cybernetics (2025)
Open Access
Cloud Model-Based Adaptive Time-Series Information Granulation Algorithm and Its Similarity Measurement
Hailan Chen, Xuedong Gao, Qi Wu, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 180-180
Open Access
A Comparative Analysis of Machine Learning and Deep Learning Techniques for Accurate Market Price Forecasting
Olamilekan Shobayo, Sidikat Adeyemi-longe, Olusogo Popoola, et al.
Analytics (2025) Vol. 4, Iss. 1, pp. 5-5
Open Access
Machine Learning-based State of Charge Estimation: A Comparison between CatBoost model and C-BLSTM-AE model
Abderrahim Zilali, Mehdi Adda, Khaled Ziane, et al.
Machine Learning with Applications (2025), pp. 100629-100629
Open Access
A Novel Short‐Term Prediction Model for Regional Equatorial Plasma Bubble Irregularities in East and Southeast Asia
Xiukuan Zhao, Guozhu Li, Haiyong Xie, et al.
Space Weather (2025) Vol. 23, Iss. 2
Open Access
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