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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:

Improving chest X-ray report generation by leveraging warm starting
Aaron Nicolson, Jason Dowling, Bevan Koopman
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102633-102633
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Evaluating progress in automatic chest X-ray radiology report generation
Feiyang Yu, Mark Endo, Rayan Krishnan, et al.
Patterns (2023) Vol. 4, Iss. 9, pp. 100802-100802
Open Access | Times Cited: 72
Interactive and Explainable Region-guided Radiology Report Generation
Tim Tanida, Philip C. Müller, Georgios Kaissis, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 7433-7442
Closed Access | Times Cited: 54
Heterogeneity and predictors of the effects of AI assistance on radiologists
Feiyang Yu, Alex Moehring, Oishi Banerjee, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 837-849
Open Access | Times Cited: 42
A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics
Kai He, Rui Mao, Qika Lin, et al.
(2024)
Open Access | Times Cited: 40
Interactive computer-aided diagnosis on medical image using large language models
Sheng Wang, Zihao Zhao, Xi Ouyang, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 39
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Haibo Jin, Haoxuan Che, Yi Lin, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 3, pp. 2607-2615
Open Access | Times Cited: 20
Collaboration between clinicians and vision–language models in radiology report generation
Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, et al.
Nature Medicine (2024)
Open Access | Times Cited: 17
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics
Kai He, Rui Mao, Qika Lin, et al.
Information Fusion (2025), pp. 102963-102963
Open Access | Times Cited: 7
Natural language processing for chest X‐ray reports in the transformer era: BERT‐like encoders for comprehension and GPT‐like decoders for generation
Han Yuan
iRadiology (2025)
Open Access | Times Cited: 4
A Systematic Evaluation of GPT-4V’s Multimodal Capability for Chest X-ray Image Analysis
Yunyi Liu, Yingshu Li, Zhanyu Wang, et al.
Meta-Radiology (2024), pp. 100099-100099
Open Access | Times Cited: 8
Bootstrapping Large Language Models for Radiology Report Generation
Chang Liu, Yuanhe Tian, Weidong Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 18635-18643
Open Access | Times Cited: 7
Automated Radiology Report Generation: A Review of Recent Advances
Phillip R. Sloan, Philip Clatworthy, Edwin Simpson, et al.
IEEE Reviews in Biomedical Engineering (2024), pp. 1-20
Open Access | Times Cited: 7
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis
Huizi Yu, Lizhou Fan, Lingyao Li, et al.
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 4, pp. 658-711
Closed Access | Times Cited: 5
Evaluating and Mitigating Limitations of Large Language Models in Clinical Decision Making
Paul Hager, Friederike Jungmann, Kunal Bhagat, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Open-world Multi-modal Machine Learning Decision Model Based on Uncertain Data Analysis for Fetal Heart Diagnosis
Guosong Zhu, Zhen Qin, Hu Xiong, et al.
Information Sciences (2025) Vol. 701, pp. 121868-121868
Closed Access
LLM-Driven Chest X-Ray Report Generation With a Modular, Reduced-Size Architecture
Talles Viana Vargas, Hélio Pedrini, André Santanchè
Lecture notes in computer science (2025), pp. 199-211
Closed Access
Towards a holistic framework for multimodal LLM in 3D brain CT radiology report generation
Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Radiology Report Generation Based on Multi-Scale Feature Fusion and Enhancement
Yongzhong Cao, Hongwei Ding, Bin Li, et al.
Communications in computer and information science (2025), pp. 23-30
Closed Access
A spatiotemporal feature-based early-stage cervical cancer diagnostic report generation method using bimodal image
Jialin Su, Chunxia Chen, Yongping Lin, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107805-107805
Closed Access
Multimodal generative AI for medical image interpretation
Vishwanatha M. Rao, Michael Hla, Michael Moor, et al.
Nature (2025) Vol. 639, Iss. 8056, pp. 888-896
Closed Access
Automatic generation of monitoring report based on large language model and knowledge graph inference
Z Chen, Y. Qiu, L. Yang, et al.
Results in Engineering (2025), pp. 104795-104795
Open Access
Improving Radiology Report Generation Quality and Diversity through Reinforcement Learning and Text Augmentation
Daniel Parres, Alberto Albiol, Roberto Paredes
Bioengineering (2024) Vol. 11, Iss. 4, pp. 351-351
Open Access | Times Cited: 3
S3-Net: A Self-Supervised Dual-Stream Network for Radiology Report Generation
Renjie Pan, Ruisheng Ran, Wei Hu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1448-1459
Closed Access | Times Cited: 8
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
Trong Thang Pham, Ngoc-Vuong Ho, Nhat-Tan Bui, et al.
Lecture notes in computer science (2024), pp. 71-88
Closed Access | Times Cited: 2
Memory-Based Cross-Modal Semantic Alignment Network for Radiology Report Generation
Yitian Tao, Liyan Ma, Jing Yu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4145-4156
Open Access | Times Cited: 2
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