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:

Energy-Efficient Resource Allocation Based on Deep Q-Network in V2V Communications
Donghee Han, Jaewoo So
Sensors (2023) Vol. 23, Iss. 3, pp. 1295-1295
Open Access | Times Cited: 14

Showing 14 citing articles:

Risk-Aware Multi-Agent Advantage Actor-Critic Based Resource Allocation for C-V2X Communication in Cellular Networks
Irshad Khan, Manjula Sunkadakatte Haladappa
Proceedings of Engineering and Technology Innovation (2025) Vol. 29, pp. 47-60
Open Access

A Deep Reinforcement Learning-Based Two-Dimensional Resource Allocation Technique for V2I Communications
Heetae Jin, Jeongbin Seo, Jeonghun Park, et al.
IEEE Access (2023) Vol. 11, pp. 78867-78878
Open Access | Times Cited: 6

Reinforcement Learning-Based Joint Beamwidth and Beam Alignment Interval Optimization in V2I Communications
Jihun Lee, H. S. Kim, Jaewoo So
Sensors (2024) Vol. 24, Iss. 3, pp. 837-837
Open Access | Times Cited: 1

Adaptive security System Implementation for Internet of Vehicle communication network
mahmoud elomda, Ahmed A. Ibrahim, Mahmoud Abdelaziz
Research Square (Research Square) (2024)
Open Access

Research on a work zone model with metering zone under mixed traffic flow environment
Jun Liu, Qi-Lang Li, Ding-Jun Fu, et al.
International Journal of Modern Physics C (2024) Vol. 35, Iss. 11
Closed Access

Optimizing Vehicle-to-Vehicle (V2V) Communication Efficiency with KNN-based Dynamic Time slot Allocation
N Devakirubai, Anitha Velu, D. Sumathi, et al.
(2024), pp. 60-65
Closed Access

A Survey of Resource Allocation in V2V Communications
Ali Ayad Km, Fahad Ghalib Abdulkadhim
Journal of Kufa for Mathematics and Computer (2024) Vol. 11, Iss. 2, pp. 140-146
Open Access

Energy-Efficiency Resource Optimization in Internet of Vehicles
Yaxuan Zhao, Haixia Cui, Qikai Hao
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2024), pp. 1187-1192
Closed Access

Emergent Trends in Deep Learning for Autonomous Electric Vehicles: A Literature Review
Mihai Duguleană, Florin Gîrbacia, Răzvan Gabriel Boboc, et al.
Proceedings in automotive engineering (2024), pp. 337-349
Closed Access

An Energy Resource Management for Cluster based IoHV Supported by Fog Computing
Ahmed Jawad Kadhim
Karbala International Journal of Modern Science (2024) Vol. 11, Iss. 1
Open Access

Exploring Reinforcement Learning for Scheduling in Cellular Networks
Omer Gurewitz, Nimrod Gradus, Erez Biton, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3352-3352
Open Access

Enhancing V2I and V2V Communication in Vehicular Networks through GSA-BPSO Optimized Neural Network
Sheela Sadashiviah, Nataraj Kanathur Ramaswamy
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 312-327
Open Access | Times Cited: 1

Applications of Deep Reinforcement Learning in Wireless Networks-A Recent Review
Abdelhamid Archi, Hocine Ait Saadi, Slimane Mekaoui
(2023), pp. 1-8
Closed Access | Times Cited: 1

Energy Efficient Multi Hop D2D Communication Using Deep Reinforcement Learning in 5G Networks
Tabrej Khan, Ashish Adholiya
International Journal of Computer Networks And Applications (2023) Vol. 10, Iss. 3, pp. 401-401
Open Access

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