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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:

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

Showing 1-25 of 31 citing articles:

A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, et al.
High-Confidence Computing (2024) Vol. 4, Iss. 2, pp. 100211-100211
Open Access | Times Cited: 205
A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges
Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, et al.
IEEE Access (2024) Vol. 12, pp. 26839-26874
Open Access | Times Cited: 122
GeoGPT: An assistant for understanding and processing geospatial tasks
Yifan Zhang, Wei Cheng, Zhengting He, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103976-103976
Open Access | Times Cited: 23
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
A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges
Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, et al.
(2023)
Open Access | Times Cited: 28
Anomaly diagnosis of connected autonomous vehicles: A survey
Yukun Fang, Haigen Min, Xia Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102223-102223
Closed Access | Times Cited: 10
MapGPT: an autonomous framework for mapping by integrating large language model and cartographic tools
Yifan Zhang, Zhengting He, Jingxuan Li, et al.
Cartography and Geographic Information Science (2024), pp. 1-27
Closed Access | Times Cited: 9
ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation
Jurim Jeon, Yuseop Sim, Ho‐Jun Lee, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 504-514
Closed Access | Times Cited: 1
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 17
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: 5
Evaluating large language models for health-related text classification tasks with public social media data
Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 10, pp. 2181-2189
Open Access | Times Cited: 4
A Survey on Online Aggression: Content Detection and Behavioural Analysis on Social Media Platforms
Swapnil Mane, Suman Kundu, Rajesh Sharma
ACM Computing Surveys (2025)
Closed Access
Automatic extraction and geographization of urban traffic event based on natural Chinese text data
Chang-Fu Hu, Hangbin Wu, Chaoxu Wei, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
Coal Mine Accident Risk Analysis with Large Language Models and Bayesian Networks
Guoliang Du, An Chen
Sustainability (2025) Vol. 17, Iss. 5, pp. 1896-1896
Open Access
Learning in Two-Scales Through LSTM-GPT2 Fusion Network: A Hybrid Approach for Time Series Anomaly Detection
Taoyu Wang, Dan Wu, Jun Wang, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1849-1849
Open Access
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
LLM-Based Operating Systems for Automated Vehicles: A New Perspective
Jingwei Ge, Cheng Chang, Jiawei Zhang, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 4, pp. 4563-4567
Closed Access | Times Cited: 4
Empowering financial futures: Large language models in the modern financial landscape
Xinwei Cao, Shuai Li, Vasilios N. Katsikis, et al.
EAI Endorsed Transactions on AI and Robotics (2024) Vol. 3
Open Access | Times Cited: 4
Driving Everywhere with Large Language Model Policy Adaptation
Boyi Li, Yue Wang, Jiageng Mao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 14948-14957
Closed Access | Times Cited: 4
A Survey of Robot Intelligence with Large Language Models
Hyeongyo Jeong, Haechan Lee, Changwon Kim, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8868-8868
Open Access | Times Cited: 4
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models
Yuchen Yang, Kwonjoon Lee, Behzad Dariush, et al.
Lecture notes in computer science (2024), pp. 304-322
Closed Access | Times Cited: 3
Harnessing Large Language Models for Training-Free Video Anomaly Detection
Luca Zanella, Willi Menapace, Massimiliano Mancini, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 18527-18536
Closed Access | Times Cited: 2
ADAGENT: Anomaly Detection Agent with Multimodal Large Models in Adverse Environments
M.-L. Zhang, Yiqing Shen, J. Yin, et al.
IEEE Access (2024) Vol. 12, pp. 172061-172074
Open Access | Times Cited: 2
Resilience Assessment of Large Language Models under Transient Hardware Faults
Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman
(2023), pp. 659-670
Closed Access | Times Cited: 4
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
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