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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:

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: 18

Showing 18 citing articles:

End-to-End Autonomous Driving: Challenges and Frontiers
Li Chen, Penghao Wu, Kashyap Chitta, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10164-10183
Open Access | Times Cited: 77
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
Zhenhua Xu, Yujia Zhang, Enze Xie, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 10, pp. 8186-8193
Open Access | Times Cited: 67
Visual Point Cloud Forecasting Enables Scalable Autonomous Driving
Zetong Yang, Li Chen, Yanan Sun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 14673-14684
Closed Access | Times Cited: 12
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: 7
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: 5
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: 4
A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions
Rui Zhao, Yun Li, Yuze Fan, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 12, pp. 19365-19398
Closed Access | Times Cited: 4
Online High-Definition Map Construction for Autonomous Vehicles: A Comprehensive Survey
Haoxuan Lyu, Julie Stephany Berrío, Yaoqi Huang, et al.
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 1, pp. 15-15
Open Access
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty, Melkior Ornik, Katherine Driggs-Campbell
ACM Computing Surveys (2025) Vol. 57, Iss. 7, pp. 1-35
Open Access
Referring flexible image restoration
Runwei Guan, Rongsheng Hu, Zhuhao Zhou, et al.
Expert Systems with Applications (2025), pp. 126857-126857
Open Access
Foundation Models: From Current Developments, Challenges, and Risks to Future Opportunities
Ali Hussain, Sikandar Ali, Umm E. Farwa, et al.
(2025), pp. 51-58
Closed Access
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: 3
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
Embodied Understanding of Driving Scenarios
Zhou Yun-song, Linyan Huang, Qingwen Bu, et al.
Lecture notes in computer science (2024), pp. 129-148
Closed Access | Times Cited: 1
Subjective Scoring Framework for VQA Models in Autonomous Driving
Kaavya Rekanar, Abbirah Ahmed, Reenu Mohandas, et al.
IEEE Access (2024) Vol. 12, pp. 141306-141323
Open Access
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-Grained Spatial-Temporal Understanding
Quan Kong, Yuki Kawana, Rajat Saini, et al.
Lecture notes in computer science (2024), pp. 1-18
Closed Access
Mini-InternVL: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance
Zhangwei Gao, Zhe Chen, Erfei Cui, et al.
Visual Intelligence (2024) Vol. 2, Iss. 1
Open Access
Method for Creating Behavior of Cognitive Agents Based on Multimodal Signal Processing
Daniil Weizenfeld, Gleb Kiselev
Modelling and Data Analysis (2024) Vol. 14, Iss. 4, pp. 45-62
Closed 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
LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End Autonomous Driving
Pranjal Paul, Anant Garg, Tushar Choudhary, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2024), pp. 10020-10026
Closed Access
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