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:

Advanced AI Applications in Energy and Environmental Engineering Systems
Jarosław Krzywański
Energies (2022) Vol. 15, Iss. 15, pp. 5621-5621
Open Access | Times Cited: 9

Showing 9 citing articles:

Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier: A scoping review
Norhasmira Mohammad, Rohana Ahmad, Arofi Kurniawan, et al.
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 26

Artificial intelligence model of fuel blendings as a step toward the zero emissions optimization of a 660 MWe supercritical power plant performance
Ahsan Amjad, Waqar Muhammad Ashraf, Ghulam Moeen Uddin, et al.
Energy Science & Engineering (2023) Vol. 11, Iss. 8, pp. 2899-2911
Open Access | Times Cited: 9

A systematic review of current AI techniques used in the context of the SDGs
Lucas Greif, Fabian Röckel, Andreas Kimmig, et al.
International Journal of Environmental Research (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 3

A data-driven energy performance gap prediction model using machine learning
Derya Yılmaz, Ali Murat Tanyer, İrem Dikmen Toker
Renewable and Sustainable Energy Reviews (2023) Vol. 181, pp. 113318-113318
Open Access | Times Cited: 4

Ensemble Machine Learning Approaches for Prediction of Türkiye’s Energy Demand
Merve Kayacı Çodur
Energies (2023) Vol. 17, Iss. 1, pp. 74-74
Open Access | Times Cited: 3

Implications of Artificial Intelligence in Environmental Engineering
Neha Bachu, Joshua McDuffie
Journal of Student Research (2023) Vol. 12, Iss. 3
Open Access | Times Cited: 2

Harnessing Machine Learning Approaches for Accurate Energy Demand Forecasting in the Power Sector
Swaraj Kadam, L. Karthick, Khasimbee Shaik, et al.
(2024), pp. 1-6
Closed Access

A deep learning approach to predict and optimise energy in fish processing industries
Ali Ghoroghi, Ioan Petri, Yacine Rezgui, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 186, pp. 113653-113653
Open Access

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