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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:

“Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks
Jinghui Liu, Daniel Capurro, Anthony Nguyen, et al.
Journal of Biomedical Informatics (2022) Vol. 133, pp. 104149-104149
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Artificial intelligence: revolutionizing cardiology with large language models
Machteld Boonstra, Davy Weissenbacher, Jason H. Moore, et al.
European Heart Journal (2024) Vol. 45, Iss. 5, pp. 332-345
Open Access | Times Cited: 47
Automated clinical coding: what, why, and where we are?
Hang Dong, Matúš Falis, William Whiteley, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 47
Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques
Essam H. Houssein, Rehab E. Mohamed, Abdelmgeid A. Ali
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 23
Automating the overburdened clinical coding system: challenges and next steps
Kaushik P. Venkatesh, Marium Raza, Joseph C. Kvedar
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 22
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction (Preprint)
Yanjun Gao, Ruizhe Li, Emma Croxford, et al.
(2024)
Closed Access | Times Cited: 8
Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities
Jinghui Liu, Daniel Capurro, Anthony Nguyen, et al.
Journal of Biomedical Informatics (2023) Vol. 145, pp. 104466-104466
Open Access | Times Cited: 15
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients’ Active Diagnoses and Problems from Electronic Health Record Progress Notes
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, et al.
(2023), pp. 461-467
Open Access | Times Cited: 13
Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models
Julien Cobert, Hunter Mills, Albert Lee, et al.
CHEST Journal (2024) Vol. 165, Iss. 6, pp. 1481-1490
Open Access | Times Cited: 4
Development and Prospective Implementation of a Large Language Model based System for Early Sepsis Prediction
Supreeth P. Shashikumar, Sina Mohammadi, Rishivardhan Krishnamoorthy, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Utilizing Large Language Models to Detect and Decipher Abbreviation in Clinical Notes (Preprint)
Hamed Jafarpour, Cheligeer Cheligeer, Jun Yan, et al.
(2025)
Closed Access
Lost in transcription – how accurately are we documenting the surgical ward round?
Ellie Treloar, Ying Yang Ting, Martin Bruening, et al.
ANZ Journal of Surgery (2025)
Open Access
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction: Design and Application Study (Preprint)
Yanjun Gao, Ruizhe Li, Emma Croxford, et al.
JMIR AI (2024) Vol. 4, pp. e58670-e58670
Open Access | Times Cited: 3
Large Language Models and Medical Knowledge Grounding for Diagnosis Prediction
Yanjun Gao, Ruizhe Li, Emma Croxford, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 8
Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes
Abigail Derton, Marco Guevara-Vega, Shan Chen, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Closed Access | Times Cited: 6
Methodical Systematic Review of Abstractive Summarization and Natural Language Processing Models for Biomedical Health Informatics: Approaches, Metrics and Challenges
Praveen Kumar Katwe, Aditya Khamparia, Deepak Gupta, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2023)
Open Access | Times Cited: 6
Distilling the knowledge from large-language model for health event prediction
Sirui Ding, Jiancheng Ye, Xia Hu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing
Sharon Jiang, Barbara D. Lam, Monica Agrawal, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 7, pp. 1578-1582
Closed Access
Distilling the Knowledge from Large-language Model for Health Event Prediction
Sirui Ding, Jiancheng Ye, Xia Hu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A New Hybrid Model for Artificial Intelligence Assisted Tire Defect Detection: CTLDF+EnC
Özcan Askar, Ramazan Teki̇n
Bilişim Teknolojileri Dergisi (2024) Vol. 17, Iss. 3, pp. 231-242
Open Access
Development and validation of deep learning models to predict diagnostic and billing codes following visits to family medicine (Preprint)
Akshay Rajaram, Michael Judd, David Barber
(2024)
Closed Access
Adoption of Quantum NLP for Improved Healthcare System
Chetan Arora, Ramandeep Sandhu
Communications in computer and information science (2024), pp. 51-59
Closed Access
Generating synthetic clinical text with local large language models to identify misdiagnosed limb fractures in radiology reports
Jinghui Liu, Bevan Koopman, Nathan J. Brown, et al.
Artificial Intelligence in Medicine (2024) Vol. 159, pp. 103027-103027
Open Access
Development and validation of deep learning models to predict diagnostic and billing codes following visits to family medicine (Preprint)
Akshay Rajaram, Michael Judd, David Barber
JMIR AI (2024)
Open Access
NLP-Based Sentiment Analysis with Machine Learning Model for Election Campaign—A Survey
Shailesh Sangle, R. R. Sedamkar
Lecture notes in networks and systems (2023), pp. 595-612
Closed Access | Times Cited: 1
Automated Optimization Deep Learning Model for Assessment and Guidance System Through Natural Language Processing with Reduction of Anxiety Among Students
Jing Peng, Marilyn W. Macwes
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 6, pp. 291-304
Open Access | Times Cited: 1
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