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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:

Forecast Methods for Time Series Data: A Survey
Zhenyu Liu, Zhengtong Zhu, Jing Gao, et al.
IEEE Access (2021) Vol. 9, pp. 91896-91912
Open Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

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
A Survey on Cybersecurity in IoT
Ηλίας Δρίτσας, Μαρία Τρίγκα
Future Internet (2025) Vol. 17, Iss. 1, pp. 30-30
Open Access | Times Cited: 2
Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system
Zherui Wang, Cheng Zeng, Zishang Zhu, et al.
Building Services Engineering Research and Technology (2025)
Open Access | Times Cited: 1
Forecast of Electric Vehicle Sales in the World and China Based on PCA-GRNN
Minfeng Wu, Wen Chen
Sustainability (2022) Vol. 14, Iss. 4, pp. 2206-2206
Open Access | Times Cited: 43
A Survey on Siamese Network: Methodologies, Applications, and Opportunities
Yikai Li, C. L. Philip Chen, Tong Zhang
IEEE Transactions on Artificial Intelligence (2022) Vol. 3, Iss. 6, pp. 994-1014
Closed Access | Times Cited: 34
Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants
Tajrian Mollick, Galib Hashmi, Saifur Rahman Sabuj
Sustainable Energy Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
ESDN: edge computing task scheduling strategy based on dilated convolutional neural network and quasi-newton algorithm
Haoyu Liu, Le Tian, Maozu Guo
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
Regression, classification, and clustering algorithms
Shantilata Palei, Rakesh Kumar Lenka, Priyanka Jain, et al.
Elsevier eBooks (2025), pp. 23-62
Closed Access
Forecasting climate risk and heat stress hazards in arid ecosystems: Machine learning and ensemble models for specific humidity prediction in Dammam, Saudi Arabia
Adel S. Aldosary, Baqer Al-Ramadan, Abdulla – Al Kafy, et al.
Natural Hazards (2025)
Closed Access
A Novel Encoder-Decoder Model for Multivariate Time Series Forecasting
Huihui Zhang, Shicheng Li, Yu Chen, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 27
An efficient real-time stock prediction exploiting incremental learning and deep learning
Tinku Singh, Riya Kaur Kalra, Suryanshi Mishra, et al.
Evolving Systems (2022) Vol. 14, Iss. 6, pp. 919-937
Open Access | Times Cited: 24
Silver as a value keeper and wealth distributor during an economic recession

Acta Montanistica Slovaca (2022), Iss. 26, pp. 796-809
Open Access | Times Cited: 22
Predicting the Price of Bitcoin Using Sentiment-Enriched Time Series Forecasting
Markus Frohmann, Manuel Karner, Said Khudoyan, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 3, pp. 137-137
Open Access | Times Cited: 13
Normalized difference vegetation index prediction using reservoir computing and pretrained language models
John Olamofe, Ram L. Ray, Xishuang Dong, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
Optimizing non-linear autoregressive networks with Bird Sea Lion algorithms for effective rainfall forecasting
C. Vijayalakshmi, M. Pushpa
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Machine Learning and Deep Learning Paradigms: From Techniques to Practical Applications and Research Frontiers
Kamran Razzaq, Mahmood Shah
Computers (2025) Vol. 14, Iss. 3, pp. 93-93
Open Access
Horizontal Autoscaling of Virtual Machines in Hybrid Cloud Infrastructures: Current Status, Challenges, and Opportunities
Thushantha Lakmal Betti Pillippuge, Zaheer Khan, Kamran Munir
Encyclopedia (2025) Vol. 5, Iss. 1, pp. 37-37
Open Access
Time series analysis in compressor-based machines: a survey
Francesca Forbicini, Nicolò Oreste Pinciroli Vago, Piero Fraternali
Neural Computing and Applications (2025)
Open Access
Distributed Learning Framework for Multi-timeframe Data Modelling in Financial Multi-step Forecasting
Ali Mehrizi, Hadi Sadoghi Yazdi
Emerging Markets Finance and Trade (2025), pp. 1-18
Closed Access
Addressing Non-stationarity with Stochastic Trend in the Context of Limited Time Series Data: An Experimental Survey
Apollinaire Batoure Bamana, Yannick SOKDOU BILA LAMOU, David Jaurès Fotsa-Mbogne, et al.
Research Square (Research Square) (2025)
Closed Access
Application of time series analysis to improve the validity of Immersive virtual environments for collecting occupant thermal state and adaptive behavioral intention data
Girish Rentala, Yimin Zhu, Supratik Mukhopadhyay
Advanced Engineering Informatics (2024) Vol. 61, pp. 102449-102449
Closed Access | Times Cited: 3
Comparative analysis of ARIMA and LSTM for predicting fluctuating time series data
Deddy Gunawan Taslim, I Made Murwantara
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 3, pp. 1943-1951
Open Access | Times Cited: 3
Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
Angelly de Jesus Pugliese Viloria, A. Folini, Daniela Carrión, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3374-3374
Open Access | Times Cited: 3
Combined K-Means Clustering with Neural Networks Methods for PV Short-Term Generation Load Forecasting in Electric Utilities
Alex Sleiman, Wencong Su
Energies (2024) Vol. 17, Iss. 6, pp. 1433-1433
Open Access | Times Cited: 3
Exploring energy efficiency of LSTM accelerators: A parameterized architecture design for embedded FPGAs
Chao Qian, Tianheng Ling, Gregor Schiele
Journal of Systems Architecture (2024) Vol. 152, pp. 103181-103181
Open Access | Times Cited: 3
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