Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

On the relationship between oil and gas markets: a new forecasting framework based on a machine learning approach
Zied Ftiti, Kais Tissaoui, Sahbi Boubaker
Annals of Operations Research (2020) Vol. 313, Iss. 2, pp. 915-943
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Forecasting mid-price movement of Bitcoin futures using machine learning
Erdinc Akyildirim, Oğuzhan Çepni, Shaen Corbet, et al.
Annals of Operations Research (2021) Vol. 330, Iss. 1-2, pp. 553-584
Open Access | Times Cited: 63
Forecasting carbon emissions future prices using the machine learning methods
Umer Shahzad, Tuhin Sengupta, Amar Rao, et al.
Annals of Operations Research (2023) Vol. 337, Iss. S1, pp. 11-11
Open Access | Times Cited: 26
Forecasting commodity prices: empirical evidence using deep learning tools
Hachmi Ben Ameur, Sahbi Boubaker, Zied Ftiti, et al.
Annals of Operations Research (2023) Vol. 339, Iss. 1-2, pp. 349-367
Open Access | Times Cited: 24
Early warning system to predict energy prices: the role of artificial intelligence and machine learning
Muneer M. Alshater, Ilias Kampouris, Hazem Marashdeh, et al.
Annals of Operations Research (2022)
Open Access | Times Cited: 31
A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases
Rabin K. Jana, Indranil Ghosh
Annals of Operations Research (2022)
Open Access | Times Cited: 28
From forests to faucets to fuel: Investigating the domino effect of extreme risk in timber, water, and energy markets
Muhammad Abubakr Naeem, Najaf Iqbal, Sitara Karim, et al.
Finance research letters (2023) Vol. 55, pp. 104010-104010
Closed Access | Times Cited: 17
Machine learning approaches for formation matrix volume prediction from well logs: Insights and lessons learned
Pamidi Venkata Durga Kannaiah, Neetish Kumar Maurya
Geoenergy Science and Engineering (2023) Vol. 229, pp. 212086-212086
Closed Access | Times Cited: 17
Spillover Effects between Crude Oil Returns and Uncertainty: New Evidence from Time-Frequency Domain Approaches
Kais Tissaoui, Ilyes Abidi, Nadia Azibi, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 340-340
Open Access | Times Cited: 7
Unraveling the crystal ball: Machine learning models for crude oil and natural gas volatility forecasting
Aviral Kumar Tiwari, Gagan Deep Sharma, Amar Rao, et al.
Energy Economics (2024) Vol. 134, pp. 107608-107608
Closed Access | Times Cited: 7
Forecasting oil price in times of crisis: a new evidence from machine learning versus deep learning models
Haithem Awijen, Hachmi Ben Ameur, Zied Ftiti, et al.
Annals of Operations Research (2023)
Closed Access | Times Cited: 14
Energy Price Prediction Based on BP Neural Network
Yaru Han, Chengsheng Zhang, Qifan Wu
Lecture notes on data engineering and communications technologies (2025), pp. 87-96
Closed Access
Do Gas Price and Uncertainty Indices Forecast Crude Oil Prices? Fresh Evidence Through XGBoost Modeling
Kais Tissaoui, Taha Zaghdoudi, Abdelaziz Hakimi, et al.
Computational Economics (2022) Vol. 62, Iss. 2, pp. 663-687
Open Access | Times Cited: 17
Nonperforming loan of European Islamic banks over the economic cycle
Faten Ben Bouheni, Hassan Obeid, Elena Margarint
Annals of Operations Research (2021) Vol. 313, Iss. 2, pp. 773-808
Closed Access | Times Cited: 19
Forecasting of Cryptocurrency Price and Financial Stability: Fresh Insights based on Big Data Analytics and Deep Learning Artificial Intelligence Techniques
Jihen Bouslimi, Sahbi Boubaker, Kais Tissaoui
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 3, pp. 14162-14169
Open Access | Times Cited: 2
Trends and Challenges after the Impact of COVID-19 and the Energy Crisis on Financial Markets
Charalampos Basdekis, Apostolos G. Christopoulos, Ioannis Katsampoxakis, et al.
Energies (2024) Vol. 17, Iss. 15, pp. 3857-3857
Open Access | Times Cited: 2
Measuring extreme risk dependence between the oil and gas markets
Hachmi Ben Ameur, Zied Ftiti, Fredj Jawadi, et al.
Annals of Operations Research (2020) Vol. 313, Iss. 2, pp. 755-772
Closed Access | Times Cited: 20
Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach
Praveen Puram, Soumya Roy, Deepak Srivastav, et al.
Annals of Operations Research (2022) Vol. 325, Iss. 1, pp. 261-288
Closed Access | Times Cited: 11
Use of Econometric Predictors and Artificial Neural Networks for the Construction of Stock Market Investment Bots
Ciniro Aparecido Leite Nametala, Jonas Villela de Souza, Alexandre Pimenta, et al.
Computational Economics (2022) Vol. 61, Iss. 2, pp. 743-773
Closed Access | Times Cited: 9
Environmentally clean and dirty energy equities during extraordinary global conditions
Scott M. R. Mahadeo
Journal of Environmental Management (2024) Vol. 368, pp. 122227-122227
Open Access | Times Cited: 1
An innovative decision-making system integrating multifractal analysis and volatility forecasting
Jialu Gao, J Wang, Danxiang Wei, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 1
Does Uncertainty Forecast Crude Oil Volatility before and during the COVID-19 Outbreak? Fresh Evidence Using Machine Learning Models
Kais Tissaoui, Taha Zaghdoudi, Abdelaziz Hakimi, et al.
Energies (2022) Vol. 15, Iss. 15, pp. 5744-5744
Open Access | Times Cited: 7
Analysis and modeling of COVID-19 epidemic dynamics in Saudi Arabia using SIR-PSO and machine learning approaches
Rafat Zrieq, Sahbi Boubaker, Souad Kamel, et al.
The Journal of Infection in Developing Countries (2022) Vol. 16, Iss. 01, pp. 90-100
Open Access | Times Cited: 3
Co-Movement between the Crude Oil Volatility Index (Ovx) on the Energy Indices Return: Evidence from Wavelet Analysis
Tahmina Akther Mim, Chinnadurai Kathiravan, Balasundram Maniam
(2024)
Closed Access
Tree-Based Models Versus Neural Network in Predicting Energy​ Commodities Futures
Xibin Zhang, Yihe Qian, Yang Zhang
(2024)
Closed Access
Study on the Application of Machine Learning Technology in the Oilfield Investment Decision Making Process and the Long-term Impact on Economic Benefits
Shengkai Gong, Yuegang Wang
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top