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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:

Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
Long Chen, Oleg Sinavski, Jan Hünermann, et al.
(2024), pp. 14093-14100
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A Survey on Multimodal Large Language Models for Autonomous Driving
Can Cui, Yunsheng Ma, Xu Cao, et al.
(2024), pp. 958-979
Open Access | Times Cited: 87
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, et al.
IEEE Access (2024) Vol. 12, pp. 101603-101625
Open Access | Times Cited: 48
DriveLM: Driving with Graph Visual Question Answering
Chonghao Sima, Katrin Renz, Kashyap Chitta, et al.
Lecture notes in computer science (2024), pp. 256-274
Closed Access | Times Cited: 20
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
Hao Shao, Yuxuan Hu, Letian Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 15120-15130
Closed Access | Times Cited: 17
Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey
Zongxia Li, Xiyang Wu, Hongyang Du, et al.
(2025)
Open Access | Times Cited: 2
A Review on Edge Large Language Models: Design, Execution, and Applications
Yue Zheng, Yuhao Chen, Bin Qian, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 2
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Sicong Leng, Hang Zhang, Guanzheng Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 13872-13882
Closed Access | Times Cited: 15
Talk2BEV: Language-enhanced Bird’s-eye View Maps for Autonomous Driving
Tushar Choudhary, Vikrant Dewangan, Shivam Chandhok, et al.
(2024), pp. 16345-16352
Open Access | Times Cited: 12
Recent advances in reinforcement learning-based autonomous driving behavior planning: A survey
Jingda Wu, Chao Huang, Hailong Huang, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 164, pp. 104654-104654
Closed Access | Times Cited: 9
A survey on integration of large language models with intelligent robots
Yeseung Kim, Dohyun Kim, Ji‐Eun Choi, et al.
Intelligent Service Robotics (2024) Vol. 17, Iss. 5, pp. 1091-1107
Open Access | Times Cited: 9
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
Sijin Chen, Xin Chen, Chi Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 26418-26428
Closed Access | Times Cited: 9
Large models for intelligent transportation systems and autonomous vehicles: A survey
Lu Gan, Wenbo Chu, Guofa Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102786-102786
Closed Access | Times Cited: 8
Exploring the Unseen: A Survey of Multi-Sensor Fusion and the Role of Explainable AI (XAI) in Autonomous Vehicles
De Jong Yeong, Krishna Panduru, J. L. Walsh
Sensors (2025) Vol. 25, Iss. 3, pp. 856-856
Open Access | Times Cited: 1
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
Yunsheng Ma, Can Cui, Xu Cao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 15141-15151
Closed Access | Times Cited: 8
Using Multimodal Large Language Models (MLLMs) for Automated Detection of Traffic Safety-Critical Events
Mohammad Tami, Huthaifa I. Ashqar, Mohammed Elhenawy, et al.
Vehicles (2024) Vol. 6, Iss. 3, pp. 1571-1590
Open Access | Times Cited: 7
LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving
Daocheng Fu, Wenjie Lei, Licheng Wen, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 1084-1090
Open Access | Times Cited: 5
Effects of Anthropomorphic Driving Vehicles on Traffic Flow
Xiaoyi Ma, Xiaowei Hu, Dieter Schramm, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 802-802
Open Access
Harnessing the Power of Large Language Models for Sustainable and Intelligent Transportation Systems in the Electric Vehicle Era
Anuj Abraham, Tasneim Aldhanhani, Wassim Hamidouche, et al.
Lecture notes in intelligent transportation and infrastructure (2025), pp. 85-113
Closed Access
Benchmarking Large Language Models for Motorway Driving Scenario Understanding
Zhou Ji, Yongqi Zhao, Aixi Yang, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2025) Vol. 1
Closed Access
A picture is worth a thousand words? Investigating the Impact of Image Aids in AR on Memory Recall for Everyday Tasks
Elizaveta Lukianova, Jae-Yeop Jeong, Jin-Woo Jeong
(2025), pp. 106-126
Closed Access
Query by Example: Semantic Traffic Scene Retrieval Using LLM-Based Scene Graph Representation
Yafu Tian, Alexander Carballo, Ruifeng Li, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2546-2546
Open Access
NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations
Yuichi Inoue, Yuki Yada, Kôtarô Tanahashi, et al.
(2024), pp. 930-938
Open Access | Times Cited: 3
An Initial Exploration of Employing Large Multimodal Models in Defending Against Autonomous Vehicles Attacks
Mohammed Aldeen, Pedram MohajerAnsari, Jin Yeul, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 3334-3341
Closed Access | Times Cited: 3
Feedback-Guided Autonomous Driving
Jimuyang Zhang, Zanming Huang, Arijit Ray, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 15000-15011
Closed Access | Times Cited: 2
LingoQA: Visual Question Answering for Autonomous Driving
Ana-Maria Marcu, Long Chen, Jan Hünermann, et al.
Lecture notes in computer science (2024), pp. 252-269
Closed Access | Times Cited: 2
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