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 crude oil prices in the COVID-19 era: Can machine learn better?
Guangning Tian, Yuchao Peng, Yuhao Meng
Energy Economics (2023) Vol. 125, pp. 106788-106788
Open Access | Times Cited: 13

Showing 13 citing articles:

Understanding the effects of artificial intelligence on energy transition: The moderating role of Paris Agreement
Muhammad Zubair Chishti, Xiqiang Xia, Eyüp Doğan
Energy Economics (2024) Vol. 131, pp. 107388-107388
Closed Access | Times Cited: 30

Can extremely high-temperature weather forecast oil prices?
Donglan Zha, Shuo Zhang, Yang Cao
Frontiers of Engineering Management (2025)
Closed Access

Oil prices and developing stock markets: Evidence from East Asia
Georgios Kotsompolis, Konstantinos Ν. Konstantakis, Dimitrios L. Stamos, et al.
Development and sustainability in economics and finance. (2024) Vol. 1, pp. 100006-100006
Closed Access | Times Cited: 3

A novel interval-based hybrid framework for crude oil price forecasting and trading
L. H. Zheng, Yuying Sun, Shouyang Wang
Energy Economics (2023) Vol. 130, pp. 107266-107266
Closed Access | Times Cited: 9

Forecasting crude oil prices with alternative data and a deep learning approach
Xiaotao Zhang, Zihui Xia, Feng He, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 1

Forecasting WTI & Brent Crude Oil Price Using LSTM, Prophet and XGBoost – Comparative Analysis
Krzysztof Ziółkowski
Communications in computer and information science (2024), pp. 171-181
Closed Access

Dynamics in Crude Oil Prices: A Markov-Switching Autoregressive Approach Incorporating Sunspot Activity
Vicente E. Montaño, Romeo Pajigal, Glenndon C. Sobrejuanite
INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS (2024) Vol. 07, Iss. 08
Open Access

Forecasting crude oil returns in different degrees of ambiguity: Why machine learn better?
Guangning Tian, Yuchao Peng, Huancheng Du, et al.
Energy Economics (2024) Vol. 139, pp. 107867-107867
Closed Access

Examining the Influence of Crude Oil Price Volatility on the Stock Performance of Key Petroleum Corporations in the Indian Stock Exchange: A Quantitative Analysis
Sandesh Ramakant Bhat, Krishan K. Garg, M. P. Sarvanan, et al.
Studies in systems, decision and control (2024), pp. 13-21
Closed Access

A seasonal grey model for forecasting energy imports demand from information differences perspective
Weijie Zhou, Jiaxin Chang, Weizhen Zuo, et al.
Applied Mathematical Modelling (2024), pp. 115907-115907
Closed Access

IMPACT OF OIL SHOCKS ON THE OIL, AGRICULTURAL AND FOOD INDUSTRY - QUANTILE AND OLS REGRESSION
Sanja Bakić
Ekonomika poljoprivrede (2024) Vol. 71, Iss. 1, pp. 293-309
Open Access

The Impact of Oil Prices on the GDP of V4 Countries

Acta Montanistica Slovaca (2024) Vol. 29, Iss. v29/i1, pp. 1-12
Open Access

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