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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:

Transfer learning for non-image data in clinical research: A scoping review
Andreas Ebbehøj, Mette Østergaard Poulsen, Ole Emil Andersen, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 2, pp. e0000014-e0000014
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 320
MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning
Xaviera A. López-Cortés, José M. Manríquez-Troncoso, Ruber Hernández-García, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 8
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: 21
Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective
Yan Gao, Teena Sharma, Yan Cui
Annual Review of Biomedical Data Science (2023) Vol. 6, Iss. 1, pp. 153-171
Open Access | Times Cited: 17
An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia
Irfan Al-Hussaini, Brandon White, Armon Varmeziar, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 6, pp. 1788-1788
Open Access | Times Cited: 5
ECG-based Transfer Learning for Cardiovascular Disease: A Scoping Review
Sharifah Noor Masidayu Sayed Ismail, Abdul Razak, Nor Azlina Ab. Aziz
International Journal of Cognitive Computing in Engineering (2025)
Open Access
Digital pathways connecting social and biological factors to health outcomes and equity
Yan Cui
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Pre-training in Medical Data: A Survey
Yixuan Qiu, Feng‐Huei Lin, Weitong Chen, et al.
Deleted Journal (2023) Vol. 20, Iss. 2, pp. 147-179
Open Access | Times Cited: 14
Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data
Michelle Wang, Madhumita Sushil, Brenda Y. Miao, et al.
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 7, pp. 1323-1332
Open Access | Times Cited: 12
Pneumonia Detection from Chest X-ray Images using Transfer Learning
Shagun Sharma, Kalpna Guleria
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2022), pp. 1-6
Closed Access | Times Cited: 16
Adapting transformer-based language models for heart disease detection and risk factors extraction
Essam H. Houssein, Rehab E. Mohamed, Guang Hu, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Deep Transfer Learning Enables Robust Prediction of Antimicrobial Resistance for Novel Antibiotics
Yunxiao Ren, Trinad Chakraborty, Swapnil Doijad, et al.
Antibiotics (2022) Vol. 11, Iss. 11, pp. 1611-1611
Open Access | Times Cited: 13
Opportunities and Challenges in Soft Tissue Sarcoma Risk Stratification in the Era of Personalised Medicine
Avirup Chowdhury, Khin Thway, Sandro Pasquali, et al.
Current Treatment Options in Oncology (2024) Vol. 25, Iss. 8, pp. 1124-1135
Closed Access | Times Cited: 2
Prediction of Biliary Complications After Human Liver Transplantation Using Hyperspectral Imaging and Convolutional Neural Networks: A Proof-of-concept Study
Margot Fodor, Philipp Zelger, Johannes Pallua, et al.
Transplantation (2023)
Closed Access | Times Cited: 4
Optimizing clinico-genomic disease prediction across ancestries: a machine learning strategy with Pareto improvement
Yan Gao, Yan Cui
Genome Medicine (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Domain adaptation of transformer-based neural network model for clinical note classification in Indian healthcare
Swati Saigaonkar, Vaibhav Narawade
International Journal of Information Technology (2024)
Closed Access | Times Cited: 1
Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models
Sandeep Reddy, Supriya Roy, Kay Weng Choy, et al.
Computer Methods and Programs in Biomedicine Update (2024) Vol. 6, pp. 100160-100160
Open Access | Times Cited: 1
Community-engaged artificial intelligence research: A scoping review
Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 8, pp. e0000561-e0000561
Open Access | Times Cited: 1
Large Language Models for Epidemiological Research via Automated Machine Learning: Case Study Using Data From the British National Child Development Study
Rasmus Wibæk, Gregers S. Andersen, Christina C. Dahm, et al.
JMIR Medical Informatics (2023) Vol. 11, pp. e43638-e43638
Open Access | Times Cited: 2
Reducing Ophthalmic Health Disparities Through Transfer Learning: A Novel Application to Overcome Data Inequality
TingFang Lee, Wollstein Gadi, Chisom T. Madu, et al.
Translational Vision Science & Technology (2023) Vol. 12, Iss. 12, pp. 2-2
Open Access | Times Cited: 2
Classification of Subspecies of Honey Bees using Convolutional Neural Network
Ashan Ratnayake, Hartini M. Yasin, Abdul Ghani Naim, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Polypharmacy in polymorbid pregnancies and the risk of congenital malformations—A systematic review
Mette Østergaard Poulsen, Julie Hauer Vendelbo, Tabia Volqvartz, et al.
Basic & Clinical Pharmacology & Toxicology (2021) Vol. 130, Iss. 3, pp. 394-414
Closed Access | Times Cited: 5
Neurosurgery inpatient outcome prediction for discharge planning with deep learning and transfer learning
Lydia Lam, Antoinette Lam, Stephen Bacchi, et al.
British Journal of Neurosurgery (2022), pp. 1-5
Closed Access | Times Cited: 3
Prediction of stroke patients’ bedroom-stay duration: machine-learning approach using wearable sensor data
Takayuki Ogasawara, Masahiko Mukaino, Kenichi Matsunaga, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access
Predictions of Early Hospitalization of Diabetes Patients Based on Deep Learning: A Review
Chiai Al-Atroshi, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 1
Open Access
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