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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:

Imputation of missing values for electronic health record laboratory data
Jiang Li, Xiaowei Yan, Durgesh Chaudhary, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Multimodal biomedical AI
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar, et al.
Nature Medicine (2022) Vol. 28, Iss. 9, pp. 1773-1784
Open Access | Times Cited: 587
Multimodal data fusion for cancer biomarker discovery with deep learning
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 351-362
Open Access | Times Cited: 138
Designing a feature selection method based on explainable artificial intelligence
Jan Zacharias, Moritz von Zahn, Johannes Chen, et al.
Electronic Markets (2022) Vol. 32, Iss. 4, pp. 2159-2184
Open Access | Times Cited: 58
Minimizing bias when using artificial intelligence in critical care medicine
Benjamin L. Ranard, Soojin Park, Yugang Jia, et al.
Journal of Critical Care (2024) Vol. 82, pp. 154796-154796
Closed Access | Times Cited: 12
The Health-Related Quality of Life Among Stroke Survivors With Post-COVID Conditions Living in the United States
Seyyed Sina Hejazian, Ajith Vemuri, Alireza Vafaei Sadr, et al.
Journal of Stroke and Cerebrovascular Diseases (2025), pp. 108246-108246
Open Access | Times Cited: 1
Challenges in and Opportunities for Electronic Health Record-Based Data Analysis and Interpretation
Michelle Kang Kim, Carol Rouphael, John McMichael, et al.
Gut and Liver (2023) Vol. 18, Iss. 2, pp. 201-208
Open Access | Times Cited: 15
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets
Michele Bernardini, Anastasiia Doinychko, Luca Romeo, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107188-107188
Open Access | Times Cited: 14
Studying missingness in spinal cord injury data: challenges and impact of data imputation
Lucie Bourguignon, Louis P. Lukas, James D. Guest, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Opportunities and challenges for biomarker discovery using electronic health record data
Pankhuri Singhal, Amelia L.M. Tan, Theodore G. Drivas, et al.
Trends in Molecular Medicine (2023) Vol. 29, Iss. 9, pp. 765-776
Open Access | Times Cited: 11
Risk prediction of heart diseases in patients with breast cancer: A deep learning approach with longitudinal electronic health records data
Sicheng Zhou, Anne Blaes, Chetan Shenoy, et al.
iScience (2024) Vol. 27, Iss. 7, pp. 110329-110329
Open Access | Times Cited: 4
An open-source framework for end-to-end analysis of electronic health record data
Lukas Heumos, Philipp Ehmele, Tim Treis, et al.
Nature Medicine (2024) Vol. 30, Iss. 11, pp. 3369-3380
Open Access | Times Cited: 4
Methodological issues of the electronic health records’ use in the context of epidemiological investigations, in light of missing data: a review of the recent literature
Thomas Tsiampalis, Demosthenes B. Panagiotakos
BMC Medical Research Methodology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10
Biases in Electronic Health Records Data for Generating Real-World Evidence: An Overview
Ban Al-Sahab, Alan Leviton, Tobias Loddenkemper, et al.
Journal of Healthcare Informatics Research (2023) Vol. 8, Iss. 1, pp. 121-139
Closed Access | Times Cited: 10
AI for climate change: unveiling pathways to sustainable development through greenhouse gas emission predictions
Saïd Toumi, Abdussalam Aljadani, Hassen Toumi, et al.
Eurasian economic review (2025)
Closed Access
Non-experimental rapid identification of lower respiratory tract infections in patients with chronic obstructive pulmonary disease using multi-label learning
Hangzhi He, Hui Zhao, Lifang Li, et al.
Computer Methods and Programs in Biomedicine (2025), pp. 108618-108618
Open Access
Unsupervised clustering for sepsis identification in large-scale patient data: a model development and validation study
Na Li, Kiarash Riazi, Jie Pan, et al.
Intensive Care Medicine Experimental (2025) Vol. 13, Iss. 1
Open Access
Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction
Weibin Liao, Yinghao Zhu, Zhongji Zhang, et al.
(2025), pp. 765-776
Closed Access
Healing with hierarchy: Hierarchical attention empowered graph neural networks for predictive analysis in medical data
Shivani Gupta, Saurabh Sharma, Rajesh Kumar Sharma, et al.
Artificial Intelligence in Medicine (2025) Vol. 165, pp. 103134-103134
Closed Access
Computational Phenomapping of Randomized Clinical Trial Participants to Enable Assessment of Their Real-World Representativeness and Personalized Inference
Phyllis Thangaraj, Evangelos K. Oikonomou, Lovedeep S Dhingra, et al.
Circulation Cardiovascular Quality and Outcomes (2025)
Closed Access
The health-related quality of life among survivors with post-COVID conditions in the United States
Seyyed Sina Hejazian, Ajith Vemuri, Alireza Vafaei Sadr, et al.
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0320721-e0320721
Open Access
Flexible imputation toolkit for electronic health records
Alireza Vafaei Sadr, Jiang Li, Wenke Hwang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Common clinical blood and urine biomarkers for ischemic stroke: an Estonian Electronic Health Records database study
Siim Kurvits, Ainika Harro, Anu Reigo, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 8
Artificial intelligence augmented clinical decision support systems for pregnancy care: a systematic review (Preprint)
xueying Lin, Chen Liang, Jihong Liu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54737-e54737
Open Access | Times Cited: 3
Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities
Alexander Maletzky, Carl Böck, Thomas Tschoellitsch, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 10, pp. e38557-e38557
Open Access | Times Cited: 14
Prediction of Venous Thromboembolism in Diverse Populations Using Machine Learning and Structured Electronic Health Records
Robert Chen, Ben Omega Petrazzini, Waqas Malick, et al.
Arteriosclerosis Thrombosis and Vascular Biology (2023) Vol. 44, Iss. 2, pp. 491-504
Open Access | Times Cited: 8
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