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:

Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors
Mikkel Bennedsen, Eric Hillebrand, Siem Jan Koopman
Energy Economics (2021) Vol. 96, pp. 105118-105118
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

CCUS Technology and Carbon Emissions: Evidence from the United States
Min Thura Mon, Roengchai Tansuchat, Woraphon Yamaka
Energies (2024) Vol. 17, Iss. 7, pp. 1748-1748
Open Access | Times Cited: 19

Accurate forecasts and comparative analysis of Chinese CO2 emissions using a superior time-delay grey model
Song Ding, Jiaqi Hu, Qianqian Lin
Energy Economics (2023) Vol. 126, pp. 107013-107013
Closed Access | Times Cited: 35

“Gray” Prediction of Carbon Neutral Pathways in the G7 Economies by 2050
Guangyue Xu, Zili Huang, Mingqi Jiang, et al.
Applied Energy (2024) Vol. 373, pp. 123924-123924
Closed Access | Times Cited: 9

What are the best alternatives for sustainability? A rationalization theme for natural resource depletion and technical innovation
Cencen Hong, Nan Liu, Kai Zhang
Resources Policy (2024) Vol. 95, pp. 105099-105099
Closed Access | Times Cited: 8

CO2 emissions in the USA: new insights based on ANN approach
Mihai Mutaşcu
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 45, pp. 68332-68356
Open Access | Times Cited: 26

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: 15

Sequential data-driven carbon peaking path simulation research of the Yangtze River Delta urban agglomeration based on semantic mining and heuristic algorithm optimization
Qingshun Zeng, Changfeng Shi, Wenjun Zhu, et al.
Energy (2023) Vol. 285, pp. 129415-129415
Closed Access | Times Cited: 14

The United States Energy Consumption and Carbon Dioxide Emissions: A Comprehensive Forecast Using a Regression Model
Krishnamurthy Baskar Keerthana, Shih‐Wei Wu, Mu‐En Wu, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7932-7932
Open Access | Times Cited: 13

Evolving the narrative for protecting a rapidly changing ocean, post‐COVID‐19
Dan Laffoley, J. M. Baxter, D.J. Amon, et al.
Aquatic Conservation Marine and Freshwater Ecosystems (2020) Vol. 31, Iss. 6, pp. 1512-1534
Open Access | Times Cited: 37

Future directions in nowcasting economic activity: A systematic literature review
Alina Stundžienė, Vaida Pilinkienė, Jurgita Bruneckienė, et al.
Journal of Economic Surveys (2023) Vol. 38, Iss. 4, pp. 1199-1233
Closed Access | Times Cited: 11

US CO2 EMISSIONS AND IPCC COMPONENTS: EVIDENCE OF PERSISTENCE USING FRACTIONAL INTEGRATION
Miguel Martin-Valmayor, Juan Infante, Nieves Carmona-González, et al.
Environmental and Sustainability Indicators (2025), pp. 100684-100684
Open Access

A multivariate dynamic statistical model of the global carbon budget 1959–2020
Mikkel Bennedsen, Eric Hillebrand, Siem Jan Koopman
Journal of the Royal Statistical Society Series A (Statistics in Society) (2023) Vol. 186, Iss. 1, pp. 20-42
Open Access | Times Cited: 8

Looking ahead: Forecasting total energy carbon dioxide emissions
Bernardina Algieri, Leonardo Iania, Arturo Leccadito
Cleaner Environmental Systems (2023) Vol. 9, pp. 100112-100112
Open Access | Times Cited: 5

Dynamic factor models: Does the specification matter?
Karen Miranda, Pilar Poncela, Esther Ruiz
SERIEs (2021) Vol. 13, Iss. 1-2, pp. 397-428
Open Access | Times Cited: 7

Nowcasting Economic Activity Using Electricity Market Data: The Case of Lithuania
Alina Stundžienė, Vaida Pilinkienė, Jurgita Bruneckienė, et al.
Economies (2023) Vol. 11, Iss. 5, pp. 134-134
Open Access | Times Cited: 2

Construction and Analysis of Macroeconomic Forecasting Model Based on Biclustering Algorithm
Chao Pang
Journal of Mathematics (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 4

Economic activity and $$\hbox {CO}_2$$ emissions in Spain
Aranzazu de Juan Fernández, Pilar Poncela, Esther Ruiz
Empirical Economics (2024)
Open Access

Nowcasting U.S. state-level CO2 emissions and energy consumption
Jack Fosten, Shaoni Nandi
International Journal of Forecasting (2023) Vol. 41, Iss. 1, pp. 20-30
Open Access | Times Cited: 1

Feasibility of nowcasting SDG indicators: A comprehensive survey
Daniel Hopp, Emily Fu, Anu Peltola
Statistical Journal of the IAOS (2022) Vol. 38, Iss. 2, pp. 591-608
Open Access | Times Cited: 2

Forecasting Total Energy’s CO2 Emissions
Leonardo Iania, Bernardina Algieri, Arturo Leccadito
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 2

A Statistical Model of the Global Carbon Budget
Eric Hillebrand, Mikkel Bennedsen, Siem Jan Koopman
(2021)
Open Access | Times Cited: 2

Estimation of spatio-temporal extreme distribution using a quantile factor model
Joonpyo Kim, Seoncheol Park, Junhyeon Kwon, et al.
Extremes (2021) Vol. 24, Iss. 1, pp. 177-195
Closed Access | Times Cited: 1

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