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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:

Artificial intelligence-based methods for fusion of electronic health records and imaging data
Farida Mohsen, Hazrat Ali, Nady El Hajj, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Shiva Maleki Varnosfaderani, Mohamad Forouzanfar
Bioengineering (2024) Vol. 11, Iss. 4, pp. 337-337
Open Access | Times Cited: 198
The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 150
A scoping review of artificial intelligence-based methods for diabetes risk prediction
Farida Mohsen, Hamada R. H. Al-Absi, Noha A. Yousri, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 55
Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study
Wenlun Wang, Hui Liang, Zhouyi Zhang, et al.
EClinicalMedicine (2024) Vol. 67, pp. 102385-102385
Open Access | Times Cited: 33
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Xieling Chen, Haoran Xie, Xiaohui Tao, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 25
Artificial Intelligence for Neuroimaging in Pediatric Cancer
Josué Luiz Dalboni da Rocha, Jesyin Lai, Pankaj Pandey, et al.
Cancers (2025) Vol. 17, Iss. 4, pp. 622-622
Open Access | Times Cited: 3
Artificial Intelligence-Based Methods for Precision Cardiovascular Medicine
Farida Mohsen, Balqees Al-Saadi, Nima Abdi, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 8, pp. 1268-1268
Open Access | Times Cited: 31
Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions
Elarbi Badidi
Future Internet (2023) Vol. 15, Iss. 11, pp. 370-370
Open Access | Times Cited: 31
DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era
David Restrepo, Chenwei Wu, Constanza Vásquez-Venegas, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 14
How can quantum computing be applied in clinical trial design and optimization?
Hakan Doğa, Aritra Bose, Mehmet Şahin, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 10, pp. 880-891
Open Access | Times Cited: 10
Artificial intelligence‐driven change redefining radiology through interdisciplinary innovation
Runqiu Huang, Xiaolin Meng, Xiaoxuan Zhang, et al.
Deleted Journal (2025)
Open Access | Times Cited: 1
Benefits of Artificial Intelligence in Urology to Bridge Healthcare Gaps in Developing Countries
A Pasha, Nazanin Hajiebrahimi, Mahdi Amirchaghmaghy, et al.
InfoScience Trends (2025) Vol. 2, Iss. 1, pp. 14-25
Closed Access | Times Cited: 1
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
Wenfang Yao, Kejing Yin, William K. Cheung, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16416-16424
Open Access | Times Cited: 7
Quantum-Inspired Sensitive Data Measurement and Secure Transmission in 5G-Enabled Healthcare Systems
Xiaohong Lv, Shalli Rani, S. Manimurugan, et al.
Tsinghua Science & Technology (2024) Vol. 30, Iss. 1, pp. 456-478
Closed Access | Times Cited: 7
Multimodal risk prediction with physiological signals, medical images and clinical notes
Yuanlong Wang, Changchang Yin, Ping Zhang
Heliyon (2024) Vol. 10, Iss. 5, pp. e26772-e26772
Open Access | Times Cited: 6
Pitfalls in Interpretive Applications of Artificial Intelligence in Radiology
Shima Behzad, Shahin Tabatabaei, Max Yang Lu, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 4
Closed Access | Times Cited: 6
Revolutionizing Biological Science: The Synergy of Genomics in Health, Bioinformatics, Agriculture, and Artificial Intelligence
Aakanksha Biswas, Aditi Kumari, D. S. Gaikwad, et al.
OMICS A Journal of Integrative Biology (2023) Vol. 27, Iss. 12, pp. 550-569
Closed Access | Times Cited: 11
Revolutionizing nursing education and care: The role of artificial intelligence in nursing
Golnar Ghane, Shahrzad Ghiyasvandian, Amir Mohammad Chekeni, et al.
Nurse author & editor (2024) Vol. 34, Iss. 1
Open Access | Times Cited: 4
Advancing Rheumatology Care Through Machine Learning
Thomas Hügle
Pharmaceutical Medicine (2024) Vol. 38, Iss. 2, pp. 87-96
Open Access | Times Cited: 4
Predicting rectal cancer tumor budding grading based on MRI and CT with multimodal deep transfer learning: A dual-center study
Ziyan Liu, Jianye Jia, Fan Bai, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28769-e28769
Open Access | Times Cited: 4
The diagnostic performance of AI-based algorithms to discriminate between NMOSD and MS using MRI features: A systematic review and meta-analysis
Masoud Etemadifar, Mahdi Norouzi, Seyyed‐Ali Alaei, et al.
Multiple Sclerosis and Related Disorders (2024) Vol. 87, pp. 105682-105682
Closed Access | Times Cited: 4
Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications
Jing Ru Teoh, Jian Dong, Xi‐Nian Zuo, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2298-e2298
Open Access | Times Cited: 4
Expanding Horizons: The Realities of CAD, the Promise of Artificial Intelligence, and Machine Learning’s Role in Breast Imaging beyond Screening Mammography
Tara Retson, Mohammad Eghtedari
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2133-2133
Open Access | Times Cited: 10
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo González, Ashirbani Saha, Clinton J.V. Campbell, et al.
Journal of Pathology Informatics (2023) Vol. 15, pp. 100347-100347
Open Access | Times Cited: 10
IMPACTO AMBIENTAL DO USO DA INTELIGÊNCIA ARTIFICIAL NA SAÚDE
Rafael Dias Ribeiro, Amanda Medeiros Gomes, Daniela Marcondes Gomes, et al.
International Seven Journal of Multidisciplinary (2025) Vol. 4, Iss. 1, pp. 71-86
Closed Access
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