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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:

Vision-language models for medical report generation and visual question answering: a review
Iryna Hartsock, Ghulam Rasool
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 12

Showing 12 citing articles:

Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey
Zongxia Li, Xiyang Wu, Hongyang Du, et al.
(2025)
Open Access | Times Cited: 1
Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East of Thailand
Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang
Journal of Imaging (2025) Vol. 11, Iss. 1, pp. 11-11
Open Access
A Survey on Multimodal Large Language Models in Radiology for Report Generation and Visual Question Answering
Ziruo Yi, Ting Xiao, Mark V. Albert
Information (2025) Vol. 16, Iss. 2, pp. 136-136
Open Access
AI in Breast Cancer Imaging: An Update and Future Trends
Yizhou Chen, Xiaoliang Shao, Kuangyu Shi, et al.
Seminars in Nuclear Medicine (2025)
Open Access
Integrating language into medical visual recognition and reasoning: A survey
Yinbin Lu, Alan Wang
Medical Image Analysis (2025) Vol. 102, pp. 103514-103514
Open Access
SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models
Bo Lin, Yingjing Xu, Xuanwen Bao, et al.
(2025), pp. 1287-1296
Closed Access
A vision-language model with multi-granular knowledge fusion in medical imaging
Chaoyu Chen, Yunxin Li, Xiwen Zhu, et al.
World Wide Web (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 1
Mmrag: Multimodal Medical Retrieval Augmented Generation System
Phani Siginamsetty, Ashu Abdul, Chang‐Fu Kuo, et al.
(2024)
Closed Access
Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology
Asim Waqas, Aakash Tripathi, Sabeen Ahmed, et al.
(2024)
Open Access
Leveraging Multimodal Models for Enhanced Neuroimaging Diagnostics in Alzheimer’s Disease
Francesco Chiumento, Mingming Liu
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3898-3907
Closed Access
Evaluating Vision-Language Models for hematology image Classification: Performance Analysis of CLIP and its Biomedical AI Variants
Tanviben Patel, Hoda El-Sayed, Md Kamruzzaman Sarker
(2024), pp. 578-584
Closed Access
Vision Language Model for Report Generation and Outcome Prediction in CT Pulmonary Angiogram
Zhusi Zhong, Yuli Wang, Jing Wu, et al.
(2024)
Closed Access
DR-Minerva: A Multimodal Language Model Based on Minerva for Diagnostic Information Retrieval
Irene Siragusa, Salvatore Contino, Roberto Pirrone
Lecture notes in computer science (2024), pp. 288-300
Closed Access
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