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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 the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?
Oğuzhan Çepni, Rangan Gupta, Daniel P. Pienaar, et al.
Energy Economics (2022) Vol. 114, pp. 106229-106229
Closed Access | Times Cited: 18

Showing 18 citing articles:

The volatility of global energy uncertainty: Renewable alternatives
Cem Işık, Bekhzod Kuziboev, Serdar Ongan, et al.
Energy (2024) Vol. 297, pp. 131250-131250
Closed Access | Times Cited: 43
Prediction of realized volatility and implied volatility indices using AI and machine learning: A review
Elias Søvik Gunnarsson, Håkon Ramon Isern, Aris Kaloudis, et al.
International Review of Financial Analysis (2024) Vol. 93, pp. 103221-103221
Open Access | Times Cited: 10
Application of machine learning in algorithmic investment strategies on global stock markets
Jan Grudniewicz, Robert Ślepaczuk
Research in International Business and Finance (2023) Vol. 66, pp. 102052-102052
Open Access | Times Cited: 17
The role of news-based sentiment in forecasting crude oil price during the Covid-19 pandemic
Jean‐Michel Sahut, Petr Hájek, Vladimír Olej, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 6
Role of Economic Policy Uncertainty in Energy Commodities Prices Forecasting: Evidence from a Hybrid Deep Learning Approach
Amar Rao, Marco Tedeschi, Kamel Si Mohammed, et al.
Computational Economics (2024) Vol. 64, Iss. 6, pp. 3295-3315
Closed Access | Times Cited: 5
Carbon Price Fluctuation Prediction Using a Novel Hybrid Statistics and Machine Learning Approach
Dawei Shang
(2025)
Closed Access
Carbon price fluctuation prediction using a novel hybrid statistics and machine learning approach
Dawei Shang, Yudan Pang, Haijie Wang
Energy (2025), pp. 135581-135581
Closed Access
Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data
Toni Duras, Farrukh Javed, Kristofer Månsson, et al.
Energy Economics (2023) Vol. 120, pp. 106621-106621
Open Access | Times Cited: 14
Stock market bubbles and the realized volatility of oil price returns
Rangan Gupta, Joshua Nielsen, Christian Pierdzioch
Energy Economics (2024) Vol. 132, pp. 107432-107432
Open Access | Times Cited: 4
Forecasting nonperforming loans using machine learning
Mohammad Abdullah, Mohammad Ashraful Ferdous Chowdhury, Ajim Uddin, et al.
Journal of Forecasting (2023) Vol. 42, Iss. 7, pp. 1664-1689
Closed Access | Times Cited: 12
Climate change and crude oil prices: An interval forecast model with interval-valued textual data
Zishu Cheng, Mingchen Li, Yuying Sun, et al.
Energy Economics (2024) Vol. 134, pp. 107612-107612
Closed Access | Times Cited: 3
Oil price returns and firm's fixed investment: A production pattern
Libo Yin, Sen Yang
Energy Economics (2023) Vol. 125, pp. 106896-106896
Closed Access | Times Cited: 7
How to select oil price prediction models — The effect of statistical and financial performance metrics and sentiment scores
Christian Haas, Constantin Budin, Anne d’Arcy
Energy Economics (2024) Vol. 133, pp. 107466-107466
Open Access | Times Cited: 2
Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approach
Rangan Gupta, Christian Pierdzioch
Financial Innovation (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 6
Volatility dynamics of agricultural futures markets under uncertainties
Anupam Dutta, Gazi Salah Uddin, Lin Wen Sheng, et al.
Energy Economics (2024) Vol. 136, pp. 107754-107754
Open Access | Times Cited: 1
Can the sentiment of the official media predict the return volatility of the Chinese crude oil futures?
Zhiwei Xu, Saixiong Gan, Xia Hua, et al.
Energy Economics (2024) Vol. 140, pp. 107967-107967
Closed Access | Times Cited: 1
On the Predictive Value of the (Shadow) Real Interest Rate for the Realized Volatility of Gold-Price Returns
Christian Pierdzioch, Sebastian Rohloff, Roland von Campe
Annals of Financial Economics (2022) Vol. 18, Iss. 01
Closed Access | Times Cited: 3
Application of econometrics in energy research—Empowerment from big data and machine learning
Yiyan Chen, Hooi Hooi Lean
Wiley Interdisciplinary Reviews Energy and Environment (2023) Vol. 12, Iss. 6
Closed Access | Times Cited: 1
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