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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:

Modeling and Forecasting Electricity Demand and Prices: A Comparison of Alternative Approaches
Ismail Shah, Hasnain Iftikhar, Sajid Ali
Journal of Mathematics (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles
Kate Murray, Andrea Rossi, Diego Carraro, et al.
Forecasting (2023) Vol. 5, Iss. 1, pp. 196-209
Open Access | Times Cited: 35
A Comparative Analysis of Machine Learning Models: A Case Study in Predicting Chronic Kidney Disease
Hasnain Iftikhar, Murad Khan, Zardad Khan, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2754-2754
Open Access | Times Cited: 35
Forecasting Day-Ahead Brent Crude Oil Prices Using Hybrid Combinations of Time Series Models
Hasnain Iftikhar, Aimel Zafar, Josué Edison Turpo Chaparro, et al.
Mathematics (2023) Vol. 11, Iss. 16, pp. 3548-3548
Open Access | Times Cited: 33
Edible oil wholesale price forecasts via the neural network
Xiaojie Xu, Yun Zhang
Energy Nexus (2023) Vol. 12, pp. 100250-100250
Open Access | Times Cited: 28
On the Implementation of the Artificial Neural Network Approach for Forecasting Different Healthcare Events
Huda M. Alshanbari, Hasnain Iftikhar, Faridoon Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1310-1310
Open Access | Times Cited: 25
Time Series Forecasting and Modeling of Food Demand Supply Chain Based on Regressors Analysis
Sandeep Kumar Panda, Sachi Nandan Mohanty
IEEE Access (2023) Vol. 11, pp. 42679-42700
Open Access | Times Cited: 24
Multiple Novel Decomposition Techniques for Time Series Forecasting: Application to Monthly Forecasting of Electricity Consumption in Pakistan
Hasnain Iftikhar, Nadeela Bibi, Paulo Canas Rodrigues, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2579-2579
Open Access | Times Cited: 23
Short-Term Forecasting of Monkeypox Cases Using a Novel Filtering and Combining Technique
Hasnain Iftikhar, Murad Khan, Mohammed Saad Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1923-1923
Open Access | Times Cited: 23
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
Analysis and forecasting of electricity prices using an improved time series ensemble approach: an application to the Peruvian electricity market
Salvatore Mancha Gonzales, Hasnain Iftikhar, Javier Linkolk López‐Gonzales
AIMS Mathematics (2024) Vol. 9, Iss. 8, pp. 21952-21971
Open Access | Times Cited: 10
Forecasting stock prices using a novel filtering-combination technique: Application to the Pakistan stock exchange
Hasnain Iftikhar, Murad Khan, Josué Edison Turpo Chaparro, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 2, pp. 3264-3288
Open Access | Times Cited: 8
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
Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique
Hasnain Iftikhar, Josué Edison Turpo Chaparro, Paulo Canas Rodrigues, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6669-6669
Open Access | Times Cited: 18
Short-Term Forecasting of Ozone Concentration in Metropolitan Lima Using Hybrid Combinations of Time Series Models
Natalí Carbo‐Bustinza, Hasnain Iftikhar, Marisol Belmonte, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10514-10514
Open Access | Times Cited: 16
Modeling and Analysis of Monkeypox Outbreak Using a New Time Series Ensemble Technique
Wilfredo Meza Cuba, Juan Carlos Huaman Alfaro, Hasnain Iftikhar, et al.
Axioms (2024) Vol. 13, Iss. 8, pp. 554-554
Open Access | Times Cited: 5
News sentiment, climate conditions, and New Zealand electricity market: A real-time bidding policy perspective
Guanghao Wang, Erwann Sbaï, Mingyue Selena Sheng, et al.
Energy (2025) Vol. 318, pp. 134784-134784
Open Access
Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method
Hasnain Iftikhar, Josué Edison Turpo Chaparro, Paulo Canas Rodrigues, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6675-6675
Open Access | Times Cited: 15
A hybrid forecasting technique for infection and death from the mpox virus
Hasnain Iftikhar, Muhammad Daniyal, Moiz Qureshi, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 14
Forecasting day-ahead electric power prices with functional data analysis
Faheem Jan, Hasnain Iftikhar, Muhammad Junaid Tahir, et al.
Frontiers in Energy Research (2025) Vol. 13
Open Access
Improving Photovoltaic Power Prediction: Insights through Computational Modeling and Feature Selection
Ahmed Faris Amiri, Aissa Chouder, Houcine Oudira, et al.
(2024)
Open Access | Times Cited: 3
Investigating the influence of clustering techniques and parameters on a hybrid PSO-driven ANFIS model for electricity prediction
Stephen Oladipo, Yanxia Sun, Abraham Amole
Deleted Journal (2024) Vol. 6, Iss. 5
Open Access | Times Cited: 3
Multi-step ahead ozone level forecasting using a component-based technique: A case study in Lima, Peru
Flor Quispe, Eddy Salcedo, Hasnain Iftikhar, et al.
AIMS environmental science (2024) Vol. 11, Iss. 3, pp. 401-425
Open Access | Times Cited: 3
Improving Photovoltaic Power Prediction: Insights through Computational Modeling and Feature Selection
Ahmed Faris Amiri, Aissa Chouder, Houcine Oudira, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3078-3078
Open Access | Times Cited: 3
Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods
Xianchao Guo, Yuchang Mo, Ke Yan
Sensors (2022) Vol. 22, Iss. 24, pp. 9630-9630
Open Access | Times Cited: 14
On the detection of patterns in electricity prices across European countries: An unsupervised machine learning approach
Dimitrios Saligkaras, Vasileios E. Papageorgiou
AIMS energy (2022) Vol. 10, Iss. 6, pp. 1146-1164
Open Access | Times Cited: 13
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