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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:

Electricity Spot Prices Forecasting Based on Ensemble Learning
Nadeela Bibi, Ismail Shah, Abdelaziz Alsubie, et al.
IEEE Access (2021) Vol. 9, pp. 150984-150992
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Efficient Wind Power Prediction Using Machine Learning Methods: A Comparative Study
Abdulelah Alkesaiberi, Fouzi Harrou, Ying Sun
Energies (2022) Vol. 15, Iss. 7, pp. 2327-2327
Open Access | Times Cited: 86
Short-Term Electricity Prices Forecasting Using Functional Time Series Analysis
Faheem Jan, Ismail Shah, Sajid Ali
Energies (2022) Vol. 15, Iss. 9, pp. 3423-3423
Open Access | Times Cited: 54
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: 45
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: 27
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: 25
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: 24
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: 11
Seq2Seq-LSTM With Attention for Electricity Load Forecasting in Brazil
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IEEE Access (2024) Vol. 12, pp. 30020-30029
Open Access | Times Cited: 8
On Predictive Modeling Using a New Flexible Weibull Distribution and Machine Learning Approach: Analyzing the COVID-19 Data
Zubair Ahmad, Zahra Almaspoor, Faridoon Khan, et al.
Mathematics (2022) Vol. 10, Iss. 11, pp. 1792-1792
Open Access | Times Cited: 35
Functional Data Approach for Short-Term Electricity Demand Forecasting
Ismail Shah, Faheem Jan, Sajid Ali
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 35
Event-driven forecasting of wholesale electricity price and frequency regulation price using machine learning algorithms
Wei Sai, Zehua Pan, Siyu Liu, et al.
Applied Energy (2023) Vol. 352, pp. 121989-121989
Closed Access | Times Cited: 21
From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting
Oliver Grothe, Fabian Kächele, Fabian Krüger
Energy Economics (2023) Vol. 120, pp. 106602-106602
Closed Access | Times Cited: 20
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: 20
Adopting a new sine-induced statistical model and deep learning methods for the empirical exploration of the music and reliability data
Yanli Yu, Yan Jia, Mohammed A. Alshahrani, et al.
Alexandria Engineering Journal (2024) Vol. 104, pp. 396-408
Open Access | Times Cited: 4
The improved integrated Exponential Smoothing based CNN-LSTM algorithm to forecast the day ahead electricity price
Kunal Shejul, R Harikrishnan, Harshita Gupta
MethodsX (2024) Vol. 13, pp. 102923-102923
Open Access | Times Cited: 4
On the implications of artificial intelligence methods for feature engineering in reliability sector
Dongsheng Guo, Ting Yang, Dong Zhang
Alexandria Engineering Journal (2025) Vol. 117, pp. 463-471
Open Access
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
On exploring features engineering and machine learning algorithms in the domain of clinical-psychological
Baiyang Liu, Da He, Li Jia, et al.
Alexandria Engineering Journal (2025) Vol. 123, pp. 488-496
Closed Access
Short-Term Electricity Price Forecasting of Ontario Market by LASSO-LSTM Model of Deep Learning
Ashish Prajesh, Prerna Jain, Deepak Ranjan Nayak, et al.
Lecture notes in electrical engineering (2025), pp. 533-543
Closed Access
Methods and reliability study of moral education assessment in universities: A machine learning-based approach
Ting Jin
Alexandria Engineering Journal (2025) Vol. 125, pp. 20-28
Closed Access
Financial engineering and the digital economy: The implementations of machine learning algorithms
Pingping Fu, Honghao Yang, Wenhao Qian, et al.
Alexandria Engineering Journal (2025) Vol. 125, pp. 311-319
Closed Access
Fuzzy Time Series Methods Applied to (In)Direct Short-Term Photovoltaic Power Forecasting
Vanessa María Serrano Ardila, Joylan Nunes Maciel, Jorge Javier Giménez Ledesma, et al.
Energies (2022) Vol. 15, Iss. 3, pp. 845-845
Open Access | Times Cited: 18
Ensemble Learning Techniques-Based Monitoring Charts for Fault Detection in Photovoltaic Systems
Fouzi Harrou, Bilal Taghezouit, Sofiane Khadraoui, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6716-6716
Open Access | Times Cited: 16
A functional autoregressive approach for modeling and forecasting short-term air temperature
Ismail Shah, Pir Mubassir, Sajid Ali, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 3
A novel seasonal fractional grey model for predicting electricity demand: A case study of Zhejiang in China
Wenhao Zhou, Hailin Li, Zhiwei Zhang
Mathematics and Computers in Simulation (2022) Vol. 200, pp. 128-147
Closed Access | Times Cited: 15
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