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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:

FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Rui Song, Runsheng Xu, Andreas Festag, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 958-969
Open Access | Times Cited: 14

Showing 14 citing articles:

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments
Rui Song, Dai Liu, Dave Zhenyu Chen, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-10
Open Access | Times Cited: 31
AFLEMP: Attention-based Federated Learning for Emotion recognition using Multi-modal Physiological data
Neha Gahlan, Divyashikha Sethia
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106353-106353
Closed Access | Times Cited: 5
Data-Driven Traffic Simulation: A Comprehensive Review
Di Chen, Meixin Zhu, Hao Yang, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 4, pp. 4730-4748
Open Access | Times Cited: 4
Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach
Anupama Hegde, Rui Song, Andreas Festag
IEEE Access (2023) Vol. 11, pp. 87225-87244
Open Access | Times Cited: 12
FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices
Liping Yi, Xiaorong Shi, Nan Wang, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 11, pp. 10475-10493
Closed Access | Times Cited: 3
A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges
Melih Yazgan, Thomas Graf, Min Liu, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 2226-2233
Open Access | Times Cited: 2
Importance-aware adaptive dataset distillation
Guang Li, Ren Togo, Takahiro Ogawa, et al.
Neural Networks (2024) Vol. 172, pp. 106154-106154
Open Access | Times Cited: 1
CooPercept: Cooperative Perception for 3D Object Detection of Autonomous Vehicles
Yuxuan Zhang, Bing Chen, Jie Qin, et al.
Drones (2024) Vol. 8, Iss. 6, pp. 228-228
Open Access | Times Cited: 1
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
Shaoheng Fang, Rui Ye, Wenhao Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 18321-18337
Open Access | Times Cited: 1
First Mile: An Open Innovation Lab for Infrastructure-Assisted Cooperative Intelligent Transportation Systems
Rui Song, Andreas Festag, Abhishek Dinkar Jagtap, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 1635-1642
Closed Access
FedDAF: Federated deep attention fusion for dangerous driving behavior detection
Jia Liu, Nijing Yang, Yan-Li Lee, et al.
Information Fusion (2024) Vol. 112, pp. 102584-102584
Closed Access
Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving
Junyao Liang, Juan Li, Ji Zhang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 2, pp. 1-7
Closed Access
On the Federated Learning Framework for Cooperative Perception
Z.M. Zhang, Jianan Liu, Xi Zhou, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 11, pp. 9423-9430
Closed Access
Federated learning system on autonomous vehicles for lane segmentation
Mohab M. Eid Kishawy, Mohamed T. Abd El-Hafez, Retaj Yousri, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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