OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An Information Security Solution for Vehicle-to-Grid Scheduling by Distributed Edge Computing and Federated Deep Learning
Yitong Shang, Zekai Li, Sen Li, et al.
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 3, pp. 4381-4395
Closed Access | Times Cited: 7

Showing 7 citing articles:

AI on Wheels: Bibliometric Approach to Mapping of Research on Machine Learning and Deep Learning in Electric Vehicles
Adrian Domenteanu, Liviuā€Adrian Cotfas, Paul Diaconu, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 378-378
Open Access | Times Cited: 2

A Reliable Evaluation Metric for Electrical Load Forecasts in V2G Scheduling Considering Statistical Features of EV Charging
Jiahao Zhong, Xiang Lei, Ziyun Shao, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4917-4931
Closed Access | Times Cited: 8

A survey on Ultra Wide Band based localization for mobile autonomous machines
Ning Xu, Mingyang Guan, Changyun Wen
Journal of Automation and Intelligence (2025)
Open Access

Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning
Wei Zhang, Yiyang Li
Engineering Science and Technology an International Journal (2025) Vol. 62, pp. 101951-101951
Open Access

Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning
Tiansheng Yang, Ruikai Sun, Rajkumar Singh Rathore, et al.
World Electric Vehicle Journal (2024) Vol. 16, Iss. 1, pp. 14-14
Open Access | Times Cited: 1

Enhancing the Electrical Load Forecasting Efficacy for V2G Scheduling by Using LSTM Model and a Specific Loss Function
Jiahao Zhong, Xiang Lei, Ziyun Shao, et al.
2021 11th International Conference on Power and Energy Systems (ICPES) (2024), pp. 324-328
Closed Access

Page 1

Scroll to top