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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:

Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 143, pp. 108504-108504
Closed Access | Times Cited: 71
A Comprehensive Review on Ensemble Solar Power Forecasting Algorithms
Negar Rahimi, Sejun Park, Wonseok Choi, et al.
Journal of Electrical Engineering and Technology (2023) Vol. 18, Iss. 2, pp. 719-733
Open Access | Times Cited: 42
Drought Forecasting: A Review and Assessment of the Hybrid Techniques and Data Pre-Processing
Mustafa A. Alawsi, Salah L. Zubaidi, Nabeel Saleem Saad Al-Bdairi, et al.
Hydrology (2022) Vol. 9, Iss. 7, pp. 115-115
Open Access | Times Cited: 46
A novel hybrid model combining βSARMA and LSTM for time series forecasting
Bhupendra Kumar, Sunil Kumar, Neha Yadav
Applied Soft Computing (2023) Vol. 134, pp. 110019-110019
Closed Access | Times Cited: 35
A hybrid forecasting approach for China's national carbon emission allowance prices with balanced accuracy and interpretability
Yaqi Mao, Xiaobing Yu
Journal of Environmental Management (2023) Vol. 351, pp. 119873-119873
Closed Access | Times Cited: 21
Electricity Demand Forecasting Using a Novel Time Series Ensemble Technique
Hasnain Iftikhar, Salvatore Mancha Gonzales, Justyna Żywiołek, et al.
IEEE Access (2024) Vol. 12, pp. 88963-88975
Open Access | Times Cited: 11
Modeling and forecasting carbon dioxide emission in Pakistan using a hybrid combination of regression and time series models
Hasnain Iftikhar, Murad Khan, Justyna Żywiołek, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33148-e33148
Open Access | Times Cited: 7
Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
Nataliia Kashpruk, C. Piskor-Ignatowicz, Jerzy Baranowski
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12374-12374
Open Access | Times Cited: 17
Framework for multivariate carbon price forecasting: A novel hybrid model
Xuankai Zhang, Ying Zong, Pei Du, et al.
Journal of Environmental Management (2024) Vol. 369, pp. 122275-122275
Closed Access | Times Cited: 7
Decomposition combining averaging seasonal-trend with singular spectrum analysis and a marine predator algorithm embedding Adam for time series forecasting with strong volatility
M Wang, Yu Meng, Lei Sun, et al.
Expert Systems with Applications (2025), pp. 126864-126864
Closed Access
A hybrid time series forecasting method based on neutrosophic logic with applications in financial issues
S. A. Edalatpanah, Farnaz Sheikh Hassani, Florentín Smarandache, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107531-107531
Closed Access | Times Cited: 12
Optimal scheduling of clean energy storage and charging integrated system by fusing DE algorithm and kernel search algorithm
Xinhua Wang, Yu Jia, Hao Su, et al.
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
Mapping e-commerce trends in the USA: a time series and deep learning approach
Filipe Ramos, Luisa M. Martinez, Luis F. Martinez, et al.
Journal of Marketing Analytics (2025)
Closed Access
A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions
Zahraa S. Khudhair, Salah L. Zubaidi, Sandra Ortega‐Martorell, et al.
Environments (2022) Vol. 9, Iss. 7, pp. 85-85
Open Access | Times Cited: 21
Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions
Hadeel E. Khairan, Salah L. Zubaidi, Yousif Raad Muhsen, et al.
Atmosphere (2022) Vol. 14, Iss. 1, pp. 77-77
Open Access | Times Cited: 20
Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow
Baydaa Abdul Kareem, Salah L. Zubaidi, Nadhir Al‐Ansari, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 1, pp. 1-41
Open Access | Times Cited: 11
An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting
Zahra Hajirahimi, Mehdi Khashei
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 11, pp. 11067-11078
Closed Access | Times Cited: 9
Predicting Financial Market Movements Through Time Series Analysis and Advanced Machine Learning Algorithms
Bhavanam Amarnath Reddy, Harsh R Kathiriya, Nitin Thapliyal, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 3
ANFIS-based soft computing models for forecasting effective drought index over an arid region of India
Ayilobeni Kikon, B. M. Dodamani, Surajit Deb Barma, et al.
AQUA - Water Infrastructure Ecosystems and Society (2023) Vol. 72, Iss. 6, pp. 930-946
Open Access | Times Cited: 8
Electric Vehicle Energy Demand Prediction Techniques: An In-Depth and Critical Systematic Review
Fatemeh Marzbani, Ahmed Osman, Mohamed S. Hassan
IEEE Access (2023) Vol. 11, pp. 96242-96255
Open Access | Times Cited: 8
Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network‐Based Marine Predators Algorithm
Sarah Jasim Mohammed, Salah L. Zubaidi, Nadhir Al‐Ansari, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 13
Predictive analysis of stochastic stock pattern utilizing fractional order dynamics and heteroscedastic with a radial neural network framework
Ayaz Hussain Bukhari, Muhammad Asif Zahoor Raja, Hani Alquhayz, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108687-108687
Closed Access | Times Cited: 2
A Hybrid Dual Stream ProbSparse Self-Attention Network for spatial–temporal photovoltaic power forecasting
Jingyin Pei, Yunxuan Dong, Peiting Guo, et al.
Energy (2024) Vol. 305, pp. 132152-132152
Closed Access | Times Cited: 2
Prediction of RUL of Lubricating Oil Based on Information Entropy and SVM
Zhongxin Liu, Huaiguang Wang, Mingxing Hao, et al.
Lubricants (2023) Vol. 11, Iss. 3, pp. 121-121
Open Access | Times Cited: 6
Water quality index forecast using artificial neural network techniques optimized with different metaheuristic algorithms
Hasanain Zamili, Gülfem Bakan, Salah L. Zubaidi, et al.
Modeling Earth Systems and Environment (2023) Vol. 9, Iss. 4, pp. 4323-4333
Closed Access | Times Cited: 6
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