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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: A Survey
J. F. Torres, Dalil Hadjout, Abderrazak Sebaa, et al.
Big Data (2020) Vol. 9, Iss. 1, pp. 3-21
Closed Access | Times Cited: 504

Showing 1-25 of 504 citing articles:

Transformers in Time Series: A Survey
Qingsong Wen, Tian Zhou, Chaoli Zhang, et al.
(2023), pp. 6778-6786
Open Access | Times Cited: 473
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 320
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review
Mohamad Khalil, A. Stephen McGough, Zoya Pourmirza, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105287-105287
Closed Access | Times Cited: 149
Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model
M. A. Hannan, D. N. T. How, Molla Shahadat Hossain Lipu, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 104
Weather Forecasting for Renewable Energy System: A Review
R. Meenal, D. Binu, K. C. Ramya, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 2875-2891
Closed Access | Times Cited: 99
A deep LSTM network for the Spanish electricity consumption forecasting
J. F. Torres, Francisco Martínez‐Álvarez, Alicia Troncoso
Neural Computing and Applications (2022) Vol. 34, Iss. 13, pp. 10533-10545
Open Access | Times Cited: 83
Deep-learning-based short-term electricity load forecasting: A real case application
İbrahim Yazıcı, Ömer Faruk Beyca, Dursun Delen
Engineering Applications of Artificial Intelligence (2022) Vol. 109, pp. 104645-104645
Closed Access | Times Cited: 78
On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting
Nebojša Bačanin, Cătălin Stoean, Miodrag Živković, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1434-1434
Open Access | Times Cited: 77
A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell
Khaled Benaggoune, Meiling Yue, Samir Jemeï, et al.
Applied Energy (2022) Vol. 313, pp. 118835-118835
Closed Access | Times Cited: 75
Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT)
Amril Nazir, Abdul Khalique Shaikh, Abdul Salam Shah, et al.
Results in Engineering (2023) Vol. 17, pp. 100888-100888
Open Access | Times Cited: 49
Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead
Saima Akhtar, Sulman Shahzad, Asad Zaheer, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4060-4060
Open Access | Times Cited: 49
RNN-LSTM: From applications to modeling techniques and beyond—Systematic review
Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 5, pp. 102068-102068
Open Access | Times Cited: 45
MACHINE LEARNING'S INFLUENCE ON SUPPLY CHAIN AND LOGISTICS OPTIMIZATION IN THE OIL AND GAS SECTOR: A COMPREHENSIVE ANALYSIS
Agnes Clare Odimarha, Sodrudeen Abolore Ayodeji, Emmanuel Adeyemi Abaku
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 3, pp. 725-740
Open Access | Times Cited: 42
Ship motion attitude prediction model based on IWOA-TCN-Attention
Biao Zhang, Sheng Wang, Liwei Deng, et al.
Ocean Engineering (2023) Vol. 272, pp. 113911-113911
Closed Access | Times Cited: 39
Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting
Yuan Zhao, Weiguo Zhang, Xiufeng Liu
Applied Soft Computing (2024) Vol. 154, pp. 111362-111362
Open Access | Times Cited: 28
Thin-film transistor for temporal self-adaptive reservoir computing with closed-loop architecture
Ruiqi Chen, Haozhang Yang, Ruiyi Li, et al.
Science Advances (2024) Vol. 10, Iss. 7
Open Access | Times Cited: 15
Personalized tourism recommendation model based on temporal multilayer sequential neural network
XueFei Xiao, Chunhua Li, Xingjie Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A systematic review for transformer-based long-term series forecasting
Liyilei Su, Xumin Zuo, Rui Li, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1
Wind Speed Ensemble Forecasting Based on Deep Learning Using Adaptive Dynamic Optimization Algorithm
Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Seyedali Mirjalili, M. El-Said, et al.
IEEE Access (2021) Vol. 9, pp. 125787-125804
Open Access | Times Cited: 92
Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market
Dalil Hadjout, J. F. Torres, Alicia Troncoso, et al.
Energy (2021) Vol. 243, pp. 123060-123060
Open Access | Times Cited: 65
Short-Term Daily Univariate Streamflow Forecasting Using Deep Learning Models
Eyob Betru Wegayehu, Fiseha Behulu Muluneh
Advances in Meteorology (2022) Vol. 2022, pp. 1-21
Open Access | Times Cited: 51
A Review on Deep Sequential Models for Forecasting Time Series Data
Dozdar Mahdi Ahmed, Masoud Muhammed Hassan, Ramadhan J. Mstafa
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 49
Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm
Kien-Trinh Thi Bui, J. F. Torres, David Gutiérrez‐Avilés, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 11, pp. 1368-1386
Open Access | Times Cited: 45
MultiCNN-FilterLSTM: Resource-efficient sensor-based human activity recognition in IoT applications
Hyunseo Park, Nakyoung Kim, Gyeong Ho Lee, et al.
Future Generation Computer Systems (2022) Vol. 139, pp. 196-209
Closed Access | Times Cited: 38
A multivariate time series graph neural network for district heat load forecasting
Zhijin Wang, Xiufeng Liu, Yaohui Huang, et al.
Energy (2023) Vol. 278, pp. 127911-127911
Open Access | Times Cited: 37
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