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:
Small Steps with Big Data: Using Machine Learning in Energy and Environmental Economics
Matthew Harding, Carlos Lamarche
Annual Review of Resource Economics (2021) Vol. 13, Iss. 1, pp. 469-488
Closed Access | Times Cited: 8
Matthew Harding, Carlos Lamarche
Annual Review of Resource Economics (2021) Vol. 13, Iss. 1, pp. 469-488
Closed Access | Times Cited: 8
Showing 8 citing articles:
Exploring the complementarity between traditional econometric methods and machine learning – an application to adoption and disadoption of conservation practices
Zhiqiang Du, Hongli Feng, J. Gordon Arbuckle
Applied Economics (2025), pp. 1-16
Open Access
Zhiqiang Du, Hongli Feng, J. Gordon Arbuckle
Applied Economics (2025), pp. 1-16
Open Access
Artificial Intelligence in Economics Research: What Have We Learned? What Do We Need to Learn?
Salman Bahoo, John W. Goodell, Rachid Rhattat, et al.
Journal of Economic Surveys (2025)
Closed Access
Salman Bahoo, John W. Goodell, Rachid Rhattat, et al.
Journal of Economic Surveys (2025)
Closed Access
Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach
Yunus Emre Gür
Data Science in Finance and Economics (2024) Vol. 4, Iss. 4, pp. 469-513
Open Access | Times Cited: 3
Yunus Emre Gür
Data Science in Finance and Economics (2024) Vol. 4, Iss. 4, pp. 469-513
Open Access | Times Cited: 3
Multiple Stock Prediction Based on Linear and Non-linear Machine Learning Regression Methods
Shuqi Chen
Advances in Economics Management and Political Sciences (2023) Vol. 46, Iss. 1, pp. 225-232
Open Access | Times Cited: 2
Shuqi Chen
Advances in Economics Management and Political Sciences (2023) Vol. 46, Iss. 1, pp. 225-232
Open Access | Times Cited: 2
An electricity big data application to reveal the chronological linkages between industries
Kehan He, D’Maris Coffman, Xingzhe Hou, et al.
Economic Systems Research (2024), pp. 1-19
Open Access
Kehan He, D’Maris Coffman, Xingzhe Hou, et al.
Economic Systems Research (2024), pp. 1-19
Open Access
Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach
Yunus Emre Gür
Data Science in Finance and Economics (2024) Vol. 4, Iss. 4, pp. 469-513
Open Access
Yunus Emre Gür
Data Science in Finance and Economics (2024) Vol. 4, Iss. 4, pp. 469-513
Open Access
Sequential tree recognition method of sensitive data in energy big data center based on rule matching
Peng Chen, Dongge Zhu
Journal of Intelligent & Fuzzy Systems (2022) Vol. 44, Iss. 1, pp. 101-112
Closed Access | Times Cited: 1
Peng Chen, Dongge Zhu
Journal of Intelligent & Fuzzy Systems (2022) Vol. 44, Iss. 1, pp. 101-112
Closed Access | Times Cited: 1
A Method for Assessing the Security of Energy Trading Data Based on Big Data and the Pagerank Algorithm
Weibin Ding, Deqi Zhang, Junjia Yang, et al.
(2023)
Open Access
Weibin Ding, Deqi Zhang, Junjia Yang, et al.
(2023)
Open Access
