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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:

Forecasting implied volatility risk indexes: International evidence using Hammerstein-ARX approach
Kais Tissaoui
International Review of Financial Analysis (2019) Vol. 64, pp. 232-249
Closed Access | Times Cited: 20

Showing 20 citing articles:

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
Nonlinear Hammerstein System Identification: A Novel Application of Marine Predator Optimization Using the Key Term Separation Technique
Khizer Mehmood, Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4217-4217
Open Access | Times Cited: 23
Predicting ESG Controversies in Banks Using Machine Learning Techniques
Anna Rita Dipierro, Fernando Jimenéz Barrionuevo, Pierluigi Toma
Corporate Social Responsibility and Environmental Management (2025)
Open Access
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
Adaptive Evolutionary Computation for Nonlinear Hammerstein Control Autoregressive Systems with Key Term Separation Principle
Faisal Altaf, Ching-Lung Chang, Naveed Ishtiaq Chaudhary, et al.
Mathematics (2022) Vol. 10, Iss. 6, pp. 1001-1001
Open Access | Times Cited: 17
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
Economic and Legal Aspects of Foreign Economic Risks Within the Framework of Sustainable Development of Russian Enterprises
Gulnara K. Dzhancharova, Анна Кошелева, Н. Н. Дробышева, et al.
Journal of Law and Sustainable Development (2023) Vol. 11, Iss. 3, pp. e317-e317
Open Access | Times Cited: 9
Parameter estimation of nonlinear systems: dwarf mongoose optimization algorithm with key term separation principle
Khizer Mehmood, Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 12, pp. 16921-16931
Closed Access | Times Cited: 8
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
Multi-model transfer function approach tuned by PSO for predicting stock market implied volatility explained by uncertainty indexes
Kais Tissaoui, Sahbi Boubaker, Besma Hkiri, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Dynamic connectedness between the U.S. financial market and Euro-Asian financial markets: Testing transmission of uncertainty through spatial regressions models
Kais Tissaoui, Taha Zaghdoudi
The Quarterly Review of Economics and Finance (2020) Vol. 81, pp. 481-492
Closed Access | Times Cited: 13
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
Forecasting of One-Day-Ahead Global Horizontal Irradiation Using Block-Oriented Models Combined with a Swarm Intelligence Approach
Sahbi Boubaker, Souad Kamel, Lioua Kolsi, et al.
Natural Resources Research (2020) Vol. 30, Iss. 1, pp. 1-26
Closed Access | Times Cited: 10
Systematic Financial Risk Identification and Dynamic Evolution Based on Deep Learning
S.‐P. An, Yaling Chen
Mobile Information Systems (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 3
Analysis of stock market volatility: Adjusted VPIN with high-frequency data
Haijun Yang, Feng Xue
International Review of Economics & Finance (2021) Vol. 75, pp. 210-222
Closed Access | Times Cited: 3
A Hybrid Particle Swarm Optimization to Forecast Implied Volatility Risk
Kais Tissaoui, Sahbi Boubaker, Waleed Alghassab, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 2, pp. 4291-4309
Open Access | Times Cited: 2
Optimized ITS/CITS models for intervention evaluation considering the nonlinear impact of covariates
Xiangliang Zhang, Rong Yin, Pan Yan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Construction of Financial Risk Pre-alarm Index System in Refractory Industry
Ying-Ying Jin
Research Square (Research Square) (2023)
Open Access
Risk‐neutral moments and return predictability: International evidence
Junyu Zhang, Xinfeng Ruan, Jin E. Zhang
Journal of Forecasting (2022) Vol. 42, Iss. 5, pp. 1086-1111
Open Access
The Use of Implied Volatility in Conditional Variance Modeling Can Improve Volatility Forecasting and var and cvar Estimation
Raúl De Jesús Gutiérrez
Economía teoría y práctica (2022), Iss. 58, pp. 173-198
Open Access
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