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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:

Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam
Damien Ming, Bernard Hernandez, Sorawat Sangkaew, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 1, pp. e0000005-e0000005
Open Access | Times Cited: 16

Showing 16 citing articles:

Machine learning for predicting severe dengue in Puerto Rico
Zachary J. Madewell, Dania M. Rodríguez, Maile T. Phillips, et al.
Infectious Diseases of Poverty (2025) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Applying artificial intelligence and digital health technologies, Viet Nam
Ho Quang Chanh, Damien Ming, Quang Huy Nguyen, et al.
Bulletin of the World Health Organization (2023) Vol. 101, Iss. 07, pp. 487-492
Open Access | Times Cited: 4
A simple nomogram to predict dengue shock syndrome: A study of 4522 south east Asian children
Phu Nguyen Trong Tran, Noppachai Siranart, Theerapon Sukmark, et al.
Journal of Medical Virology (2024) Vol. 96, Iss. 8
Closed Access | Times Cited: 1
Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring
Damien Ming, John Daniels, Ho Quang Chanh, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools
Quang Huy Nguyen, Damien Ming, Luu Phuoc An, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 2
Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness
Bernard Hernandez, Oliver Stiff, Damien Ming, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 2
A pilot study investigating severe community-acquired febrile illness through implementation of an innovative microbiological and nucleic acid amplification testing strategy in Timor-Leste (ISIN-MANAS-TL)
Deolindo Ximenes, Gustodio de Jesus, Antonio SCFC de Sousa, et al.
IJID Regions (2024) Vol. 11, pp. 100345-100345
Open Access
Proceedings of the dengue endgame summit: Imagining a world with dengue control
Adam D. Wegman, Shirin Kalimuddin, Ernesto T. A. Marques, et al.
Vaccine (2024) Vol. 42, Iss. 23, pp. 126071-126071
Closed Access
Status of Digital Health Technology Adoption in Five Vietnamese hospitals: Cross-sectional Assessment (Preprint)
Tran Minh Duc, Nguyen Thanh Dung, Chau Minh Duc, et al.
JMIR Formative Research (2024) Vol. 9, pp. e53483-e53483
Open Access
Machine learning for predicting severe dengue, Puerto Rico
Zachary J. Madewell, Dania M. Rodríguez, Maile T. Phillips, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
An Explainable Machine Learning Framework for Prediction of Recurrent Lumbar Disc Herniation
Subramaniyan Mani, Sumit Thakar, Raghunatha Sarma Rachakonda
Lecture notes in networks and systems (2024), pp. 311-322
Closed Access
Up Sampling Data in Bagging Tree Classification and Regression Decision Tree Method for Dengue Shock Syndrome Detection
Lailil Muflikhah, Agustin Iskandar, Novanto Yudistira, et al.
Communications in computer and information science (2023), pp. 307-318
Closed Access | Times Cited: 1
Clinical Decision Support System Braced with Artificial Intelligence: A Review
Jigna B. Prajapati, Bhupendra G. Prajapati
Lecture notes in networks and systems (2022), pp. 531-540
Closed Access | Times Cited: 1
Challenges in Implementing Clinical Decision Support Systems for the Management of Infectious Diseases
Yousra Kherabi, Damien Ming, Timothy M. Rawson, et al.
Advances in medical technologies and clinical practice book series (2022), pp. 151-160
Closed Access | Times Cited: 1
Intelligence artificielle et autres outils digitaux : apport à la microbiologie et aux maladies infectieuses
Alexandre Godmer, Yousra Kherabi, Grégoire Pasquier
Médecine et Maladies Infectieuses Formation (2023) Vol. 2, Iss. 3, pp. 117-129
Open Access
Face mask detection using video streaming analytics and deep learning for healthcare management system
Qui Ngoc Nguyen, Trong-Hop Do
(2023), pp. 101-105
Closed Access
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