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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:

Predicting hospital emergency department visits with deep learning approaches
Xinxing Zhao, Joel Weijia Lai, Andrew Fu Wah Ho, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1051-1065
Closed Access | Times Cited: 18

Showing 18 citing articles:

Advancing Lifelong Learning in the Digital Age: A Narrative Review of Singapore’s SkillsFuture Programme
Zhi Yong Lim, Jun Hong Yap, Joel Weijia Lai, et al.
Social Sciences (2024) Vol. 13, Iss. 2, pp. 73-73
Open Access | Times Cited: 14
A deep learning based hybrid architecture for weekly dengue incidences forecasting
Xinxing Zhao, Kainan Li, Candice Ke En Ang, et al.
Chaos Solitons & Fractals (2023) Vol. 168, pp. 113170-113170
Closed Access | Times Cited: 16
A brain-inspired model for multi-step forecasting of malignant arrhythmias
Yun Kwan Kim, Insung Choi, Sun Jung Lee, et al.
Expert Systems with Applications (2025), pp. 126373-126373
Closed Access
Patient Visits Forecasting in the Post-pandemic Era at Emergency Departments
Nicolas Haxaire, Farah Mourad-Chehade, Alice Yalaoui
Communications in computer and information science (2025), pp. 251-262
Closed Access
Pre-Trained Large Language Models Outperform Conventional Statistics and Machine Learning Forecasting Patient Visits in the Emergency Departments: A Multicenter Study
Y.-R. Yen, Chin H. Wu, Shuhui Chen, et al.
(2025)
Closed Access
An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression
C. Peláez‐Rodríguez, Ricardo Torres-López, Jorge Pérez-Aracíl, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 245, pp. 108033-108033
Open Access | Times Cited: 3
Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning
Bruno Matos Porto, Flávio Sanson Fogliatto
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
A deep learning architecture for forecasting daily emergency department visits with acuity levels
Xinxing Zhao, Kainan Li, Candice Ke En Ang, et al.
Chaos Solitons & Fractals (2022) Vol. 165, pp. 112777-112777
Closed Access | Times Cited: 10
Usability of an artificially intelligence-powered triage platform for adult ophthalmic emergencies: a mixed methods study
Anish Jindal, Dayyanah Sumodhee, Camilo Brandão‐de‐Resende, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
A deep learning architecture using hybrid and stacks to forecast weekly dengue cases in Laos
Sathi Patra, Soovoojeet Jana, Sayani Adak, et al.
The European Physical Journal B (2024) Vol. 97, Iss. 8
Closed Access | Times Cited: 1
Progressive prediction of hospitalisation and patient disposition in the emergency department
Laura Uhl, Vincent Augusto, Vincent Lemaire, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 1719-1728
Closed Access | Times Cited: 3
Enhancing emergency department patient arrival forecasting: a study using feature engineering and advanced machine learning algorithms
Bruno Matos Porto, Flávio Sanson Fogliatto
Research Square (Research Square) (2024)
Open Access
Probabilistic Prediction of Arrivals and Hospitalizations in Emergency Departments in Île-de-France
Herbert Susmann, Antoine Chambaz, Julie Josse, et al.
International Journal of Medical Informatics (2024) Vol. 195, pp. 105728-105728
Open Access
Learning disentangled skills for hierarchical reinforcement learning through trajectory autoencoder with weak labels
Wonil Song, Sangryul Jeon, Hyesong Choi, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120625-120625
Closed Access | Times Cited: 1
Usability of an artificially intelligence-powered triage platform for adult ophthalmic emergencies: A mixed methods study
Anish Jindal, Dayyanah Sumodee, Camilo Brandao de Resende, et al.
Research Square (Research Square) (2023)
Open Access
Improved Long-Term Forecasting of Emergency Department Arrivals with LSTM-Based Networks
Carolina Miranda-Garcia, Alberto Garcés-Jiménez, José Manuel Gómez Pulido, et al.
Lecture notes in computer science (2023), pp. 124-133
Closed Access
Graphical Deep Learning Prediction Model for Stock Risk Management
Haewon Byeon, Shyamsunder Chitta, Shavkatov Navruzbek Shavkatovich, et al.
Fluctuation and Noise Letters (2023) Vol. 23, Iss. 02
Closed Access
Enhancing Ophthalmic Triage: Identification of new clinical features to support healthcare professionals in triage
Anish Jindal, Camilo Brandão‐de‐Resende, Yan Ning Neo, et al.
Research Square (Research Square) (2023)
Open Access
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