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:

Deep Learning-Aided Sensorless Control Approach for PV Converters in DC Nanogrids
Alper Nabi Akpolat, Erkan Dursun, Ahmet Emin Kuzucuoğlu
IEEE Access (2021) Vol. 9, pp. 106641-106654
Open Access | Times Cited: 8

Showing 8 citing articles:

Dynamic Stabilization of DC Microgrids Using ANN-Based Model Predictive Control
Alper Nabi Akpolat, Mohammad Reza Habibi, Hamid Reza Baghaee, et al.
IEEE Transactions on Energy Conversion (2021) Vol. 37, Iss. 2, pp. 999-1010
Open Access | Times Cited: 42

New Insights into the Emerging Trends Research of Machine and Deep Learning Applications in Energy Storage: A Bibliometric Analysis and Publication Trends
Samuel-Soma M. Ajibade, Abdelhamid Zaïdi, Asamh Saleh M. Al Luhayb, et al.
International Journal of Energy Economics and Policy (2023) Vol. 13, Iss. 5, pp. 303-314
Open Access | Times Cited: 21

Enhancing voltage stability in photovoltaic and wind micro grids with a hybrid optimization approach
H Tanuja
Computers & Electrical Engineering (2025) Vol. 123, pp. 110025-110025
Closed Access

Deep Learning for Forecasting-Based Applications in Cyber–Physical Microgrids: Recent Advances and Future Directions
Mohammad Reza Habibi, Saeed Golestan, Josep M. Guerrero, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1685-1685
Open Access | Times Cited: 9

Derivation and Review of Optimization-Based Estimation for Motor Drives and Power Electronics
Liwei Zhou, Michael Eull, Matthias Preindl
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 4, pp. 6593-6611
Closed Access

Optimizing the deep learning parameters using metaheuristic algorithms for PV-battery-based DC nanogrids
Mohd Herwan Sulaiman, Zuriani Mustaffa, Amir Seyyedabbasi, et al.
International Journal of Ambient Energy (2024) Vol. 45, Iss. 1
Closed Access

Utilizing Deep Learning Techniques to Eliminate the Current Sensor in a Boost Converter Used in a DC Nano-Grid
Behzad Azeri, Karwan Javanmardi, Sobhan Sofimowloodi, et al.
(2024), pp. 241-246
Closed Access

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