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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 blood glucose using an LSTM Neural Network
Touria El Idrissi, Ali Idri, Ibtissam Abnane, et al.
Annals of Computer Science and Information Systems (2019) Vol. 18, pp. 35-41
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

A survey on deep learning in medicine: Why, how and when?
Francesco Piccialli, Vittorio Di Somma, Fabio Giampaolo, et al.
Information Fusion (2020) Vol. 66, pp. 111-137
Closed Access | Times Cited: 288
Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications
Umair Muneer Butt, Sukumar Letchmunan, Mubashir Ali, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 125
A comprehensive review of machine learning techniques on diabetes detection
Toshita Sharma, Manan Shah
Visual Computing for Industry Biomedicine and Art (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 72
Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction – A systematic literature review
Virginie Felizardo, Nuno M. García, Nuno Pombo, et al.
Artificial Intelligence in Medicine (2021) Vol. 118, pp. 102120-102120
Closed Access | Times Cited: 62
Deep Physiological Model for Blood Glucose Prediction in T1DM Patients
Mario Muñoz-Organero
Sensors (2020) Vol. 20, Iss. 14, pp. 3896-3896
Open Access | Times Cited: 54
Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only
Francesco Prendin, Simone Del Favero, Martina Vettoretti, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1647-1647
Open Access | Times Cited: 45
The Impact of Clinical Parameters on LSTM-based Blood Glucose Estimate in Type 1 Diabetes
Sunandha Rajagopal, N. Thangarasu
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 5
Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management
Wei Huang, Iok-Hou Pang, Jing Bai, et al.
Advanced Intelligent Systems (2025)
Open Access
Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes
Félix Tena, Óscar Garnica, Juan Lanchares, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7090-7090
Open Access | Times Cited: 25
Analysis of design-for-safety implementation factors in the Indonesian construction industry: A two-staged SEM-artificial neural network approach
Rossy Armyn Machfudiyanto, Sunkuk Kim, Yusuf Latief, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21273-e21273
Open Access | Times Cited: 7
Machine and deep learning techniques for the prediction of diabetics: a review
Sandip Kumar Singh Modak, Vijay Kumar Jha
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Forecasting and analyzing influenza activity in Hebei Province, China, using a CNN-LSTM hybrid model
Guofan Li, Yan Li, Guangyue Han, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Predictive modeling of biomedical temporal data in healthcare applications: review and future directions
Abhidnya Patharkar, Fulin Cai, Firas Al-Hindawi, et al.
Frontiers in Physiology (2024) Vol. 15
Open Access | Times Cited: 2
Deep Learning for Blood Glucose Prediction: CNN vs LSTM
Touria El Idrissi, Ali Idri
Lecture notes in computer science (2020), pp. 379-393
Closed Access | Times Cited: 17
An Improving Long Short Term Memory-Grid Search Based Deep Learning Neural Network for Software Effort Estimation
Robert Marco, Sharifah Sakinah, Syed Ahmad, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 4, pp. 164-180
Open Access | Times Cited: 4
Enhanced blood glucose levels prediction with a smartwatch
Sean Pikulin, Irad Yehezkel, Robert Moskovitch
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0307136-e0307136
Open Access | Times Cited: 1
Trojan Resilience in Implantable and Wearable Medical Devices with Virtual Biosensing
Shakil Mahmud, Farhath Zareen, Brooks Olney, et al.
2022 IEEE 40th International Conference on Computer Design (ICCD) (2022), pp. 577-584
Closed Access | Times Cited: 6
Hybrid CNN-LSTM for Predicting Diabetes: A Review
Soroush Soltanizadeh, Seyedeh Somayeh Naghibi
Current Diabetes Reviews (2023) Vol. 20, Iss. 7
Closed Access | Times Cited: 3
Prediction of Blood Glucose Level by using an LSTM based Recurrent Neural networks
Padmapritha Thamotharan
(2019), pp. 1-4
Closed Access | Times Cited: 7
Temperature Prediction Using Recurrent Neural Network for Internet of Things Room Controlling Application
Haider K. Hoomod, Zahraa Sabeeh Amory
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2020), pp. 973-978
Closed Access | Times Cited: 6
Glucose trend prediction model based on improved wavelet transform and gated recurrent unit
Tao Yang, Qicheng Yang, Yibo Zhou, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 9, pp. 17037-17056
Open Access | Times Cited: 2
A predictive model incorporating the change detection and Winsorization methods for alerting hypoglycemia and hyperglycemia
Lei Li, Xiaolei Xie, Jun Yang
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 11-12, pp. 2311-2324
Closed Access | Times Cited: 5
Shortcomings in the Evaluation of Blood Glucose Forecasting
Jung Min Lee, Rodica Pop‐Busui, Joyce M. Lee, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 12, pp. 3424-3431
Open Access
Blood Glucose Prediction in Type 1 Diabetes Based on Long Short-Term Memory
Bogdan-Petru Butunoi, Cristina Stolojescu-Crisan, Viorel Negru
Communications in computer and information science (2024), pp. 458-469
Closed Access
Research on Prediction of Blood Transfusion Based on GPBO-LST-Attention
Chaofeng Lan, Xinyu Yu, Lei Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 115742-115749
Open Access
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