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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:

Oil-price uncertainty and the U.K. unemployment rate: A forecasting experiment with random forests using 150 years of data
Rangan Gupta, Christian Pierdzioch, Afees A. Salisu
Resources Policy (2022) Vol. 77, pp. 102662-102662
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting
Nawazish Mirza, Syed Kumail Abbas Rizvi, Bushra Naqvi, et al.
International Review of Financial Analysis (2024) Vol. 94, pp. 103238-103238
Closed Access | Times Cited: 8
Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015–2020 in Shaanxi, China
Hongye Cao, Ling Han, Ming Liu, et al.
Journal of Environmental Sciences (2023) Vol. 149, pp. 358-373
Closed Access | Times Cited: 18
Mineral exploration and the green transition: Opportunities and challenges for the mining industry
Zhengzhen An, Yue Zhao, Yanfei Zhang
Resources Policy (2023) Vol. 86, pp. 104263-104263
Closed Access | Times Cited: 14
Evapotranspiration, water use efficiency, and yield for film mulched maize under different nitrogen-fertilization rates and climate conditions
Heng Fang, Yuannong Li, Xiaobo Gu, et al.
Agricultural Water Management (2024) Vol. 301, pp. 108935-108935
Open Access | Times Cited: 4
Enhancing economic cycle forecasting based on interpretable machine learning and news narrative sentiment
Weixin Sun, Yong Wang, Li Zhang, et al.
Technological Forecasting and Social Change (2025) Vol. 215, pp. 124094-124094
Open Access
Data-Driven Approaches for Predicting Maintenance Service Demands in the Automotive Sector
Şenda Yıldırım, Mustafa Hekimoğlu, Ahmet Yücekaya, et al.
(2025)
Closed Access
Oil price uncertainty and unemployment dynamics: Nonlinearities matter
Mansur Ahmed, Quazi Fidia Farah, Ruby P. Kishan
Energy Economics (2023) Vol. 125, pp. 106806-106806
Closed Access | Times Cited: 9
Fiscal policy and stock markets at the effective lower bound
Christophe André, Petre Caraiani, Rangan Gupta
Finance research letters (2023) Vol. 58, pp. 104564-104564
Open Access | Times Cited: 7
Geopolitical risk and crude oil price predictability: Novel decomposition ensemble approach based ternary interval number series
Y. T. Li, Yiyan Chen, Hooi Hooi Lean
Resources Policy (2024) Vol. 92, pp. 104966-104966
Closed Access | Times Cited: 2
Forecasting long-term world annual natural gas production by machine learning
Doruk Şen, K. Irem Hamurcuoglu, Melisa Z. Ersoy, et al.
Resources Policy (2022) Vol. 80, pp. 103224-103224
Closed Access | Times Cited: 11
National student loans default risk prediction: A heterogeneous ensemble learning approach and the SHAP method
Yuan Wang, Yanbo Zhang, Mengkun Liang, et al.
Computers and Education Artificial Intelligence (2023) Vol. 5, pp. 100166-100166
Open Access | Times Cited: 6
A Data-Driven Approach for Generator Load Prediction in Shipboard Microgrid: The Chemical Tanker Case Study
Tayfun Uyanık, Nur Najihah Abu Bakar, Özcan Kalenderli, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 5092-5092
Open Access | Times Cited: 4
Modeling CO2 Loading Capacity of Diethanolamine (DEA) Aqueous Solutions Using Advanced Deep Learning and Machine Learning Algorithms: Application to Carbon Capture
Atena Mahmoudzadeh, Fahimeh Hadavimoghaddam, Saeid Atashrouz, et al.
Korean Journal of Chemical Engineering (2024) Vol. 41, Iss. 5, pp. 1427-1448
Closed Access | Times Cited: 1
Factor Input Prices and Unemployment in Uganda
Benjamin Musiita, Frederick Nsambu Kijjambu, Asaph Kaburura Katarangi
Journal of Economics and Behavioral Studies (2024) Vol. 16, Iss. 1(J), pp. 52-66
Open Access | Times Cited: 1
Overview of Maintenance Management Strategies in the Industry
Bernard A. Adaramola, Joseph F. Kayode, Stella I. Monye, et al.
(2024), pp. 1-11
Closed Access | Times Cited: 1
Forecasting U.S. recessions using over 150 years of data: Stock-market moments versus oil-market moments
Elie Bouri, Rangan Gupta, Christian Pierdzioch, et al.
Finance research letters (2024), pp. 106179-106179
Closed Access | Times Cited: 1
Forecasting crude oil prices: Does global financial uncertainty matter?
Yong Ma, Shuaibing Li, Mingtao Zhou
International Review of Economics & Finance (2024), pp. 103723-103723
Closed Access | Times Cited: 1
Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning
Mehmet Balcılar, David Gabauer, Rangan Gupta, et al.
Journal of Forecasting (2022) Vol. 41, Iss. 6, pp. 1049-1064
Open Access | Times Cited: 5
Deep Learning Algorithm Forecasting the Unemployment Rates in the Central European Countries
Szilárd Madaras
Economics and Business (2024) Vol. 38, pp. 86-102
Open Access
Unraveling the causal impact: Oil price uncertainty on firms’ productivity in China
Xinheng Liu, Sishi Pan, Shuxian Li, et al.
Resources Policy (2024) Vol. 96, pp. 105218-105218
Closed Access
A cross-country analysis on unemployment: past, present and a scenario-based foresight into the future
Jardel Augusto Gomes Rodrigues Alves
(2024)
Open Access
Comparison of Classical and Machine Learning Forecasting Techniques

(2024), pp. 121-141
Closed Access
Forecasting more than three centuries of economic growth of the United Kingdom: The role of climate risks
Hardik A. Marfatia, Rangan Gupta, Goodness C. Aye, et al.
Elsevier eBooks (2023)
Closed Access | Times Cited: 1
Forecasting Unemployment in Russia Using Machine Learning Methods
Urmat Dzhunkeev
Russian Journal of Money and Finance (2022) Vol. 81, Iss. 1, pp. 73-87
Open Access | Times Cited: 2
Forecasting Crude Oil Prices: Does Global Financial Uncertainty Matter?
Yong Ma, shuaibing li, Mingtao Zhou
SSRN Electronic Journal (2023)
Closed Access
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