
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:
Opportunities and Challenges of Fuel Cell Electric Vehicle-to-Grid (V2G) Integration
Tingke Fang, Annette von Jouanne, Emmanuel Agamloh, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5646-5646
Open Access | Times Cited: 4
Tingke Fang, Annette von Jouanne, Emmanuel Agamloh, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5646-5646
Open Access | Times Cited: 4
Showing 4 citing articles:
A comprehensive review of vehicle-to-grid integration in electric vehicles: Powering the future
Pulkit Kumar, Harpreet Kaur Channi, Raman Kumar, et al.
Energy Conversion and Management X (2024), pp. 100864-100864
Open Access | Times Cited: 8
Pulkit Kumar, Harpreet Kaur Channi, Raman Kumar, et al.
Energy Conversion and Management X (2024), pp. 100864-100864
Open Access | Times Cited: 8
Investigation on battery and fuel cell electric vehicle-to-grid potential for microgrid frequency regulation
Leonardo Federici, Laura Tribioli, Raffaello Cozzolino, et al.
International Journal of Hydrogen Energy (2025)
Closed Access
Leonardo Federici, Laura Tribioli, Raffaello Cozzolino, et al.
International Journal of Hydrogen Energy (2025)
Closed Access
Bidirectional Energy Transfer Between Electric Vehicle, Home, and Critical Load
Ștefan-Andrei Lupu, Dan Floricău
Energies (2025) Vol. 18, Iss. 9, pp. 2167-2167
Open Access
Ștefan-Andrei Lupu, Dan Floricău
Energies (2025) Vol. 18, Iss. 9, pp. 2167-2167
Open Access
A Feed-Forward Back-Propagation Neural Network Approach for Integration of Electric Vehicles into Vehicle-to-Grid (V2G) to Predict State of Charge for Lithium-Ion Batteries
Alice Cervellieri
Energies (2024) Vol. 17, Iss. 23, pp. 6107-6107
Open Access
Alice Cervellieri
Energies (2024) Vol. 17, Iss. 23, pp. 6107-6107
Open Access