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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:

Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data
Wei-Chun Lin, Aiyin Chen, Xubo Song, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 2, pp. 456-464
Open Access | Times Cited: 11

Showing 11 citing articles:

Large language model to multimodal large language model: A journey to shape the biological macromolecules to biological sciences and medicine
Manojit Bhattacharya, Soumen Pal, Srijan Chatterjee, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 3, pp. 102255-102255
Open Access | Times Cited: 7
Evaluating the validity of the nursing statements algorithmically generated based on the International Classifications of Nursing Practice for respiratory nursing care using large language models
Hyeoneui Kim, Hyewon Park, Sunghoon Kang, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 6, pp. 1397-1403
Closed Access | Times Cited: 4
Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records
Samuel Barry, Sophia Y. Wang
Translational Vision Science & Technology (2024) Vol. 13, Iss. 6, pp. 15-15
Open Access | Times Cited: 4
EHR-based prediction modelling meets multimodal deep learning: A systematic review of structured and textual data fusion methods
Ariel Soares Teles, Ivan Rodrigues de Moura, Francisco Silva, et al.
Information Fusion (2025), pp. 102981-102981
Closed Access
Ai-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Journal of Advanced Research (2025)
Open Access
Deep Learning-Based Glaucoma Detection Using Clinical Notes: A Comparative Study of Long Short-Term Memory and Convolutional Neural Network Models
Ali Mohammadjafari, Maohua Lin, Min Shi
Diagnostics (2025) Vol. 15, Iss. 7, pp. 807-807
Open Access
Multi-modal fusion model for Time-Varying medical Data: Addressing Long-Term dependencies and memory challenges in sequence fusion
Moxuan Ma, Muyu Wang, Wei Lan, et al.
Journal of Biomedical Informatics (2025), pp. 104823-104823
Closed Access
Artificial Intelligence in Glaucoma: Advances in Diagnosis, Progression Forecasting, and Surgical Outcome Prediction
Chiao-Hsin Lan, Thomas Chiu, Wei-Ting Yen, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 10, pp. 4473-4473
Open Access
Artificial Intelligence in Glaucoma: A New Landscape of Diagnosis and Management
Xiang Ji, Vethushan Ramalingam, Michael Balas, et al.
Journal of Clinical & Translational Ophthalmology (2024) Vol. 2, Iss. 2, pp. 47-63
Open Access | Times Cited: 3
Integrating Deep Learning with Electronic Health Records for Early Glaucoma Detection: A Multi-Dimensional Machine Learning Approach
Alireza Karimi, Ansel Stanik, Cooper Kozitza, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 577-577
Open Access | Times Cited: 3
Application of artificial intelligence in glaucoma care: An updated review
Jo‐Hsuan Wu, Shan C. Lin, Sasan Moghimi
Taiwan Journal of Ophthalmology (2024) Vol. 14, Iss. 3, pp. 340-351
Open Access | Times Cited: 1
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