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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:

Multi-disease prediction using LSTM recurrent neural networks
Lu Men, Noyan Ilk, Xinlin Tang, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114905-114905
Closed Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Mohammed Badawy, Nagy Ramadan, Hesham A. Hefny
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 50
Towards Secure and Intelligent Internet of Health Things: A Survey of Enabling Technologies and Applications
Umar Zaman, Imran Imran, Faisal Mehmood, et al.
Electronics (2022) Vol. 11, Iss. 12, pp. 1893-1893
Open Access | Times Cited: 48
Prediction of significant wave height in hurricane area of the Atlantic Ocean using the Bi-LSTM with attention model
Qin-Rui Luo, Hang Xu, Long-Hu Bai
Ocean Engineering (2022) Vol. 266, pp. 112747-112747
Closed Access | Times Cited: 42
Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine
Imran Zafar, Shakila Anwar, Faheem kanwal, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105263-105263
Closed Access | Times Cited: 31
Machine and deep learning for longitudinal biomedical data: a review of methods and applications
Anna Cascarano, Jordi Mur-Petit, Jerónimo Hernández-González, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 1711-1771
Open Access | Times Cited: 29
Multi Chronic Disease Prediction System Using CNN and Random Forest
Chunduru Anilkumar, Akash Kishore, Bharath Kumar Sasapu, et al.
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 9
Prediction of gas concentration evolution with evolutionary attention-based temporal graph convolutional network
Lei Cheng, Li Li, Sai Li, et al.
Expert Systems with Applications (2022) Vol. 200, pp. 116944-116944
Closed Access | Times Cited: 34
Deep learning prediction models based on EHR trajectories: A systematic review
Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani
Journal of Biomedical Informatics (2023) Vol. 144, pp. 104430-104430
Open Access | Times Cited: 19
A Scheme for Effective Skin Disease Detection using Optimized Region Growing Segmentation and Autoencoder based Classification
Dasari Anantha Reddy, Swarup Roy, Sanjay Kumar, et al.
Procedia Computer Science (2023) Vol. 218, pp. 274-282
Open Access | Times Cited: 16
Deep learning for personalized health monitoring and prediction: A review
Robertas Damaševičius, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.
Computational Intelligence (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 5
Enhancing Patient Outcome Prediction through Deep Learning with Sequential Diagnosis Codes from Structured EHR data: A systematic review (Preprint)
Tuankasfee Hama, Mohanad M Alsaleh, Freya Allery, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e57358-e57358
Open Access
Using the TSA-LSTM two-stage model to predict cancer incidence and mortality
Rabnawaz Khan, Jie Wang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317148-e0317148
Open Access
An LSTM-based decision-making model for predictive manufacturing performance optimization
Hala Mellouli, Anwar Meddaoui, Abdelhamid Zaki, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
MAL-Net: A Multi-Label Deep Learning Framework Integrating LSTM and Multi-Head Attention for Enhanced Classification of IgA Nephropathy Subtypes Using Clinical Sensor Data
Hongyan Wang, Yuehui Liao, Li Gao, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1916-1916
Open Access
Human Disease Prediction using Machine Learning Techniques and Real-life Parameters
Kumar Gaurav, Adarsh Kumar, Pramod Kumar Singh, et al.
International journal of engineering. Transactions C: Aspects (2023) Vol. 36, Iss. 6, pp. 1092-1098
Open Access | Times Cited: 12
Neighbor-aware review helpfulness prediction
Jiahua Du, Jia Rong, Hua Wang, et al.
Decision Support Systems (2021) Vol. 148, pp. 113581-113581
Closed Access | Times Cited: 31
Early Prediction of Chronic Kidney Disease: A Comprehensive Performance Analysis of Deep Learning Models
Chaity Mondol, F. M. Javed Mehedi Shamrat, Md. Robiul Hasan, et al.
Algorithms (2022) Vol. 15, Iss. 9, pp. 308-308
Open Access | Times Cited: 18
Privacy-preserving healthcare monitoring for IoT devices under edge computing
Wei Cao, Wenting Shen, Zhixiang Zhang, et al.
Computers & Security (2023) Vol. 134, pp. 103464-103464
Closed Access | Times Cited: 10
CADxReport: Chest x-ray report generation using co-attention mechanism and reinforcement learning
Navdeep Kaur, Ajay Mittal
Computers in Biology and Medicine (2022) Vol. 145, pp. 105498-105498
Closed Access | Times Cited: 18
Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model
A. S. Prakaash, Krishnamoorthy Sivakumar, B. Surendiran, et al.
New Generation Computing (2022) Vol. 40, Iss. 4, pp. 1241-1279
Open Access | Times Cited: 17
Data-driven forecasting for operational planning of emergency medical services
Paulo Abreu, Daniel Santos, Ana Paula Barbosa‐Póvoa
Socio-Economic Planning Sciences (2022) Vol. 86, pp. 101492-101492
Open Access | Times Cited: 14
Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning
Ping Yang, Hang Qiu, Liya Wang, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118541-118541
Closed Access | Times Cited: 13
Healthcare Predictive Analytics Using Machine Learning and Deep Learning Techniques: A Survey
Mohammed Badawy, Nagy Ramadan, Hesham A. Hefny
Research Square (Research Square) (2022)
Open Access | Times Cited: 12
Dominant noise-aided EMD (DEMD): Extending empirical mode decomposition for noise reduction by incorporating dominant noise and deep classification
Zeinab Shamaee, Mohsen Mivehchy
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104218-104218
Closed Access | Times Cited: 12
Survey of deep learning techniques for disease prediction based on omics data
Xindi Yu, Shusen Zhou, Hailin Zou, et al.
Human Gene (2022) Vol. 35, pp. 201140-201140
Closed Access | Times Cited: 12
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