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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:

Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition
Kan Xie, Zhe Zhang, Bo Li, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 9, pp. 9980-9992
Open Access | Times Cited: 74

Showing 51-75 of 74 citing articles:

Federated Learning with Knowledge Distillation to Mitigate Catastrophic Forgetting and Data Heterogeneity in IoV Systems
Jiayu Wang, Jiechao Gao
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 2914-2923
Closed Access
Deep Learning-Based Speed Limit Information Recognition
Xu Luo, Fumin Zou, Sijie Luo, et al.
Lecture notes in electrical engineering (2024), pp. 233-242
Closed Access
Traffic Sign Classification for Road Safety using CNN
Holbrey Richard P., Sindhu Ravindran, Vikneswaran Vijean
(2024), pp. 462-466
Closed Access
Traffic Sign Recognition Model Based on Spiking Neural Network
Huarun Chen, Yijun Liu, Wujian Ye, et al.
(2024), pp. 693-696
Closed Access
How does Federated Learning Impact Decision-Making in Firms: A Systematic Literature Review
Shweta Kumari Choudhary, Arpan Kumar Kar, Yogesh K. Dwivedi
Communications of the Association for Information Systems (2024) Vol. 54, Iss. 1, pp. 519-546
Closed Access
Risk-Aware Reinforcement Learning Based Federated Learning Framework for Io V
Yuhan Chen, Zhibo Liu, Xiaozhen Lu, et al.
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2024), pp. 1-6
Closed Access
Towards robust neural networks: Exploring counterfactual causality-based repair
Fang Liu, Xiaofu Du, Hao Ding, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125082-125082
Closed Access
Improve Federated Learning Stability for Vehicle Trajectory Prediction
Youbang Sun, Jianlin Guo, Kieran Parsons, et al.
(2024), pp. 196-201
Closed Access
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs
Xuchang Chen, Guoqiang Tang, Yumei Ren, et al.
Journal of Applied Statistics (2024) Vol. 52, Iss. 4, pp. 841-867
Closed Access
FLAV: Federated Learning for Autonomous Vehicle privacy protection
Yingchun Cui, Jinghua Zhu, Jinbao Li
Ad Hoc Networks (2024) Vol. 166, pp. 103685-103685
Closed Access
Nightfall Deception: A Novel Backdoor Attack on Traffic Sign Recognition Models via Low-Light Data Manipulation
Yalun Wu, Qiong Li, Yingxiao Xiang, et al.
Lecture notes in computer science (2024), pp. 433-445
Closed Access
Hybrid Neuromorphic‐Federated Learning for Activity Recognition Using Multi‐modal Wearable Sensors
Ahsan Raza Khan, Habib Ullah Manzoor, Fahad Ayaz, et al.
(2024), pp. 133-164
Closed Access
A Review of Automatic Road Sign Recognition Systems
Zaidani Younes, El habil Brahim, Ellahyani Ayoub
(2023), pp. 1-6
Closed Access | Times Cited: 1
Biologically Inspired SNN for Robot Control
S. Ganeshkumar, J. Maniraj, S Gokul, et al.
Advances in systems analysis, software engineering, and high performance computing book series (2023), pp. 289-318
Closed Access | Times Cited: 1
Blockchain-FRL for Vehicular Lane Changing: Toward Traffic, Data, and Training Safety
Bo Fan, Yiwei Dong, Tongfei Li, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 22153-22164
Closed Access | Times Cited: 1
An optimized intelligent traffic sign forecasting framework for smart cities
Manish Kumar, Subramanian Ramalingam, Amit Prasad
Soft Computing (2023) Vol. 27, Iss. 23, pp. 17763-17783
Closed Access | Times Cited: 1
A novel traffic sign recognition approach for open scenarios
Weipeng Cao, Yuhao WU, Dachuan LI, et al.
JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING (2023) Vol. 40, Iss. 3, pp. 258-265
Closed Access | Times Cited: 1
Role of Federated Learning for Internet of Vehicles: A Systematic Review
P. Hiran Mani Bala, Rishu Chhabra
Communications in computer and information science (2023), pp. 128-139
Closed Access | Times Cited: 1
Spectral–Temporal Model for Opportunistic Spectrum Access in Cognitive Radio Networks
Md Mehedi Hassan Galib, Mohamed Younis, Brian Stevens
IEEE Transactions on Cognitive Communications and Networking (2023) Vol. 10, Iss. 2, pp. 470-486
Open Access | Times Cited: 1
An adaptive federated learning framework for intelligent road surface classification
Ioannis V. Vondikakis, Ilias Panagiotopoulos, George Dimitrakopoulos
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023)
Closed Access | Times Cited: 1
MLIA: modulated LED illumination-based adversarial attack on traffic sign recognition system for autonomous vehicle
Yixuan Shen, Yu Cheng, Yini Lin, et al.
(2022)
Closed Access | Times Cited: 2
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Rui Song, Runsheng Xu, Andreas Festag, et al.
arXiv (Cornell University) (2023)
Open Access
Federated Learning for Pedestrian Detection in Vehicular Networks
Feyzi Ege Kumec, Aslihan Reyhanoglu, Emrah Kar, et al.
(2023), pp. 150-154
Closed Access
MNNP: Design and Development of Traffic Sign Identification and Recognition System to Support Smart Vehicles using Modified Neural Network Principles
G Anitha, R. Hemalatha, N Sakthisaravanan., et al.
(2023), pp. 1-7
Closed Access
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