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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:

A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao, et al.
National Science Review (2024) Vol. 11, Iss. 12
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 103
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: 76
Large language models for generative information extraction: a survey
Derong Xu, Wei Chen, Wenjun Peng, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 21
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing
Tian Wang, Junming Fan, Pai Zheng
Journal of Manufacturing Systems (2024) Vol. 75, pp. 299-305
Closed Access | Times Cited: 14
Large language models illuminate a progressive pathway to artificial intelligent healthcare assistant
Mingze Yuan, Peng Bao, Jiajia Yuan, et al.
Medicine Plus (2024) Vol. 1, Iss. 2, pp. 100030-100030
Open Access | Times Cited: 14
PointLLM: Empowering Large Language Models to Understand Point Clouds
Runsen Xu, Xiaolong Wang, Tai Wang, et al.
Lecture notes in computer science (2024), pp. 131-147
Closed Access | Times Cited: 13
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management
Xiahua Wei, Naveen Kumar, Han Zhang
Information & Management (2025) Vol. 62, Iss. 2, pp. 104103-104103
Closed Access | Times Cited: 1
From image to language: A critical analysis of Visual Question Answering (VQA) approaches, challenges, and opportunities
Md Farhan Ishmam, Md Sakib Hossain Shovon, M. F. Mridha, et al.
Information Fusion (2024) Vol. 106, pp. 102270-102270
Open Access | Times Cited: 10
The Internet of Things in the Era of Generative AI: Vision and Challenges
Xin Wang, Zhongwei Wan, Arvin Hekmati, et al.
IEEE Internet Computing (2024) Vol. 28, Iss. 5, pp. 57-64
Closed Access | Times Cited: 8
Refashioning Emotion Recognition Modeling: The Advent of Generalized Large Models
Zixing Zhang, Liyizhe Peng, Tao Pang, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6690-6704
Open Access | Times Cited: 5
Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey
Martin Andreoni Lopez, Willian T. Lunardi, George Lawton, et al.
IEEE Access (2024) Vol. 12, pp. 109470-109493
Open Access | Times Cited: 5
Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey
Qika Lin, Y. C. Zhu, Mei Xin, et al.
Information Fusion (2024), pp. 102795-102795
Open Access | Times Cited: 5
Ground scaffolding abstract construction concepts for automatic compliance checking based on reasoning segmentation
Xiaochun Luo, Mingyong Qin, Zeyu Gao, et al.
Expert Systems with Applications (2025), pp. 126563-126563
Closed Access
The Clinicians’ Guide to Large Language Models: A General Perspective With a Focus on Hallucinations
Dimitri Roustan, François Bastardot
Interactive Journal of Medical Research (2025) Vol. 14, pp. e59823-e59823
Open Access
A comparative analysis of encoder only and decoder only models for challenging LLM-generated STEM MCQs using a self-evaluation approach
Ghada Soliman, Hesham Zaki, Mohamed A. Lotfy
Natural Language Processing Journal (2025), pp. 100131-100131
Open Access
MammoVLM: A generative large vision-language model for mammography-related diagnostic assistance
Zhenjie Cao, Zhuo Deng, Jie Ma, et al.
Information Fusion (2025), pp. 102998-102998
Closed Access
Utilizing Large Language Models for Educating Patients About Polycystic Ovary Syndrome in China: A Two-Phase Study (Preprint)
X. Chen
(2025)
Closed Access
FD-LLM: Large language model for fault diagnosis of complex equipment
Lin Lin, Sihao Zhang, Fu Song, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103208-103208
Closed Access
From screens to scenes: A survey of embodied AI in healthcare
Yihao Liu, Xu Cao, Tingting Chen, et al.
Information Fusion (2025), pp. 103033-103033
Closed Access
Semantic structure preservation for accurate multi-modal glioma diagnosis
Chaoyu Shi, Xia Zhang, Runzhen Zhao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Stimulating conversation-style emergencies of multi-modal LMs
順時 湯浅, Bingquan Liu, Chengjie Sun, et al.
Information Fusion (2025), pp. 103047-103047
Closed Access
A Review of Large Language Models in Medical Education, Clinical Decision Support, and Healthcare Administration
Josip Vrdoljak, Zvonimir Boban, Marino Vilović, et al.
Healthcare (2025) Vol. 13, Iss. 6, pp. 603-603
Open Access
Neural headline generation: A comprehensive survey
Han Ren, Xiaona Chang, Xia Li
Neurocomputing (2025), pp. 129633-129633
Closed Access
Large Language Models for UAVs: Current State and Pathways to the Future
Shumaila Javaid, Hamza Fahim, Bin He, et al.
IEEE Open Journal of Vehicular Technology (2024) Vol. 5, pp. 1166-1192
Open Access | Times Cited: 3
A survey on advancements in image–text multimodal models: From general techniques to biomedical implementations
Ruifeng Guo, Jingxuan Wei, Linzhuang Sun, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108709-108709
Closed Access | Times Cited: 2
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