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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:

Text2Motion: from natural language instructions to feasible plans
Kevin Lin, Christopher Agia, Toki Migimatsu, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1345-1365
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

TidyBot: personalized robot assistance with large language models
Jimmy Wu, Rika Antonova, Adam Kan, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1087-1102
Closed Access | Times Cited: 59
ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application
Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, et al.
IEEE Access (2023) Vol. 11, pp. 95060-95078
Open Access | Times Cited: 47
RoCo: Dialectic Multi-Robot Collaboration with Large Language Models
Zhao Mandi, Shreeya Jain, Shuran Song
(2024), pp. 286-299
Open Access | Times Cited: 23
Foundation models in robotics: Applications, challenges, and the future
Roya Firoozi, Johnathan Tucker, Stephen Tian, et al.
The International Journal of Robotics Research (2024)
Closed Access | Times Cited: 22
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Tom Silver, Soham Dan, Kavitha Srinivas, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 20256-20264
Open Access | Times Cited: 19
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
Yongchao Chen, Jacob Arkin, Charles Dawson, et al.
(2024), pp. 6695-6702
Open Access | Times Cited: 18
TidyBot: Personalized Robot Assistance with Large Language Models
Jimmy Wu, Rika Antonova, Adam Kan, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)
Open Access | Times Cited: 35
Semantic anomaly detection with large language models
Amine Elhafsi, Rohan Sinha, Christopher Agia, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1035-1055
Closed Access | Times Cited: 31
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: 14
Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
Yongchao Chen, Jacob Arkin, Yang Zhang, et al.
(2024), pp. 4311-4317
Open Access | Times Cited: 11
A vision-language-guided robotic action planning approach for ambiguity mitigation in human–robot collaborative manufacturing
Junming Fan, Pai Zheng
Journal of Manufacturing Systems (2024) Vol. 74, pp. 1009-1018
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
Integrating action knowledge and LLMs for task planning and situation handling in open worlds
Yan Ding, Xiaohan Zhang, Saeid Amiri, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 981-997
Closed Access | Times Cited: 20
Large language models for robotics: Opportunities, challenges, and perspectives
Jiaqi Wang, Enze Shi, Huawen Hu, et al.
Journal of Automation and Intelligence (2024)
Open Access | Times Cited: 6
CoPAL: Corrective Planning of Robot Actions with Large Language Models
Frank Joublin, Antonello Ceravola, А. В. Смирнов, et al.
(2024), pp. 8664-8670
Open Access | Times Cited: 5
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: 5
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
Jingkang Yang, Yuhao Dong, Shuai Liu, et al.
Lecture notes in computer science (2024), pp. 20-38
Closed Access | Times Cited: 5
SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge
Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 20123-20133
Open Access | Times Cited: 4
ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning
Zhehua Zhou, Jiayang Song, Kunpeng Yao, et al.
(2024), pp. 2081-2088
Open Access | Times Cited: 4
Vision-Language Interpreter for Robot Task Planning
Keisuke Shirai, Cristian C. Beltran-Hernandez, Masashi Hamaya, et al.
(2024), pp. 2051-2058
Open Access | Times Cited: 4
Real-world robot applications of foundation models: a review
Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, et al.
Advanced Robotics (2024) Vol. 38, Iss. 18, pp. 1232-1254
Open Access | Times Cited: 4
Big Data Natural Language Processing Algorithm to Implement Green Brand Reputation Management System
Lin Feng, Adejare Yusuff Aremu, Weiqiang Diwu, et al.
Lecture notes on data engineering and communications technologies (2025), pp. 189-199
Closed Access
LMD-FISH: Language Model Driven - Framework for Intelligent Scheduling of Heterogenous Systems
Mukund Mitra, Yashaswi Sinha, Arushi Khokhar, et al.
(2025), pp. 74-77
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
Visual control of a cable-driven flexible robotic arm with a spinal structure based on video understanding
Xiang Zhang, Xue-Song Wu, Kangjia Fu, et al.
Control Engineering Practice (2025) Vol. 160, pp. 106303-106303
Closed Access
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