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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:

SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
Abhinav Rajvanshi, Karan Sikka, Xiao Lin, et al.
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 464-474
Open Access | Times Cited: 13

Showing 13 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: 84
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Vishal Pallagani, Bharath Muppasani, Kaushik Roy, et al.
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 432-444
Open Access | Times Cited: 15
Language-Grounded Dynamic Scene Graphs for Interactive Object Search with Mobile Manipulation
Daniel Honerkamp, Martin Büchner, Fabien Despinoy, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 10, pp. 8298-8305
Open Access | Times Cited: 6
A survey on the recent random walk-based methods for embedding graphs
Elika Bozorgi, Sakher Khalil Alqaaidi, Afsaneh Shams, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Robot Learning in the Era of Foundation Models: A Survey
Xuan Xiao, Jiahang Liu, Zhipeng Wang, et al.
Neurocomputing (2025), pp. 129963-129963
Closed Access
Autonomous navigation and visual navigation in robot mission execution
Shulei Wang, Yan Wang, Zeyu Sun
Image and Vision Computing (2025), pp. 105516-105516
Closed Access
Unlocking Robotic Autonomy: A Survey on the Applications of Foundation Models
Dae-Sung Jang, Doo-Hyun Cho, Woo-Cheol Lee, et al.
International Journal of Control Automation and Systems (2024) Vol. 22, Iss. 8, pp. 2341-2384
Closed Access | Times Cited: 2
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Vishal Pallagani, Kaushik Roy, Bharath Muppasani, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
RP-SG: Relation Prediction in 3D Scene Graphs for Unobserved Objects Localization
Zhongmou Ying, Xianfeng Yuan, Baojiang Yang, et al.
IEEE Robotics and Automation Letters (2023) Vol. 9, Iss. 2, pp. 1412-1419
Closed Access | Times Cited: 2
Multi-modal scene graph inspired policy for visual navigation
Yu He, Kang Zhou, Tao Tian
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Open Access
“Where am I?” Scene Retrieval with Language
Jiaqi Chen, Dániel Baráth, Iro Armeni, et al.
Lecture notes in computer science (2024), pp. 201-220
Closed Access
Time Is on My Side: Scene Graph Filtering for Dynamic Environment Perception in an LLM-Driven Robot
Simone Colombani, Luca Brini, Dimitri Ognibene, et al.
(2024)
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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