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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:

DriveLLM: Charting the Path Toward Full Autonomous Driving With Large Language Models
Yaodong Cui, Shucheng Huang, Jiaming Zhong, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 1450-1464
Closed Access | Times Cited: 22

Showing 22 citing articles:

Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment
Kunpeng Zhang, Shipu Wang, Ning Jia, et al.
Accident Analysis & Prevention (2024) Vol. 198, pp. 107497-107497
Closed Access | Times Cited: 9
Integrating Large Language Models and Metaverse in Autonomous Racing: An Education-Oriented Perspective
Bai Li, Tian’ao Xu, Xinyuan Li, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 1, pp. 59-64
Closed Access | Times Cited: 7
LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness
Othmane Friha, Mohamed Amine Ferrag, Burak Kantarcı, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5799-5856
Open Access | Times Cited: 7
Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey
Martin Andreoni Lopez, Willian T. Lunardi, George Lawton, et al.
IEEE Access (2024) Vol. 12, pp. 109470-109493
Open Access | Times Cited: 7
Automation 5.0: The Key to Systems Intelligence and Industry 5.0
Ljubo Vlacic, Hailong Huang, Mariagrazia Dotoli, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 8, pp. 1723-1727
Closed Access | Times Cited: 6
VistaRAG: Toward Safe and Trustworthy Autonomous Driving Through Retrieval-Augmented Generation
Xingyuan Dai, Chao Guo, Yun Tang, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 4, pp. 4579-4582
Closed Access | Times Cited: 5
Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF
Yuan Sun, Navid Salami Pargoo, Peter J. Jin, et al.
(2024) Vol. 33, pp. 76-80
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
LLMScenario: Large Language Model Driven Scenario Generation
Cheng Chang, Siqi Wang, Jiawei Zhang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 11, pp. 6581-6594
Closed Access | Times Cited: 4
Domain-wise knowledge decoupling for personalized federated learning via Radon transform
Zihao Lu, Wang Jun-li, Changjun Jiang
Neurocomputing (2025), pp. 130013-130013
Closed Access
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction
Jia Huang, Peng Jiang, Alvika Gautam, et al.
Proceedings of the AAAI Symposium Series (2024) Vol. 3, Iss. 1, pp. 134-142
Open Access | Times Cited: 3
Large Language Models for Intelligent Transportation: A Review of the State of the Art and Challenges
Sebastian Wandelt, Changhong Zheng, Shuang Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7455-7455
Open Access | Times Cited: 3
UnstrPrompt: Large Language Model Prompt for Driving in Unstructured Scenarios
Yuchen Li, Luxi Li, Zizhang Wu, et al.
IEEE Journal of Radio Frequency Identification (2024) Vol. 8, pp. 367-375
Closed Access | Times Cited: 2
The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence
Tianyu Shen, Jinlin Sun, Shihan Kong, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 6, pp. 1313-1316
Open Access | Times Cited: 2
Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving
Dingkai Zhang, Huanran Zheng, Wenjing Yue, et al.
Lecture notes in computer science (2024), pp. 295-309
Closed Access | Times Cited: 2
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
Xu Cao, Tong Zhou, Yunsheng Ma, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 21819-21830
Closed Access | Times Cited: 2
A Superalignment Framework in Autonomous Driving with Large Language Models
Xiangrui Kong, Thomas Bräunl, Marco Fahmi, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 1715-1720
Open Access | Times Cited: 1
An Advanced Driving Agent with the Multimodal Large Language Model for Autonomous Vehicles
Junzhou Chen, Sidi Lu
(2024), pp. 1-11
Closed Access | Times Cited: 1
Federated Intelligence for Intelligent Vehicles
Weishan Zhang, Baoyu Zhang, Xiaofeng Jia, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 5, pp. 4835-4839
Closed Access
Beyond Reality: Crafting Logical Systems for Autonomous Vehicles through Virtual Reality
N. K. Senthil Kumar, A Sumalatha, R Dhivyabharathi, et al.
(2024), pp. 1-7
Closed Access
A Survey on Deep Learning in UAV imagery for Precision Agriculture and Wild Flora Monitoring: Datasets, Models and Challenges
Lorenzo Epifani, Antonio Caruso
Smart Agricultural Technology (2024), pp. 100625-100625
Open Access
DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model
Chen-Chi Liao, Kairong Lin
Journal of Safety Science and Resilience (2024)
Open Access
Large-Scale Model Meets Federated Learning: A Hierarchical Hybrid Distributed Training Mechanism for Intelligent Intersection Large-Scale Model
Chang Liu, Shaoyong Guo, Fangfang Dang, et al.
Big Data Mining and Analytics (2024) Vol. 7, Iss. 4, pp. 1031-1049
Open Access
Large Language Models for Human-Like Autonomous Driving: A Survey
Yun Li, Kai Katsumata, Ehsan Javanmardi, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2024), pp. 439-446
Closed Access
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