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:

Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning
Nora El-Rashidy, Tamer Abuhmed, Louai Alarabi, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 5, pp. 3603-3632
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson’s disease
Muhammad Junaid, Sajid Ali, Fatma Eid, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 234, pp. 107495-107495
Closed Access | Times Cited: 44

Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis
Hager Saleh, Sherif Mostafa, Abdullah Alharbi, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3707-3707
Open Access | Times Cited: 54

A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network
Naeem Ullah, Javed Ali Khan, Shaker El–Sappagh, et al.
Diagnostics (2023) Vol. 13, Iss. 1, pp. 162-162
Open Access | Times Cited: 38

Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25

Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models
Deema Mohammed Alsekait, Hager Saleh, Lubna Abdelkareim Gabralla, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3937-3937
Open Access | Times Cited: 21

Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model
Nora El-Rashidy, Yara A. Sultan, Zainab H. Ali
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

A flexible framework for sepsis prediction: Standardizing data management and imputation in time series using MIMIC-III
Javier Solí­s-Garcí­a, Jose E. Sánchez-López, Belén Vega-Márquez, et al.
SoftwareX (2025) Vol. 29, pp. 102063-102063
Open Access

Speech-Driven Medical Emergency Decision-Support Systems in Constrained Environments
Sergey K. Aityan, Abdolreza Mosaddegh, Rolando Herrero, et al.
(2025), pp. 119-140
Closed Access

Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients
Firuz Juraev, Shaker El–Sappagh, Eldor Abdukhamidov, et al.
Journal of Biomedical Informatics (2022) Vol. 135, pp. 104216-104216
Open Access | Times Cited: 25

RETRACTED ARTICLE: Prediction of gestational diabetes based on explainable deep learning and fog computing
Nora El-Rashidy, Nesma E. ElSayed, Amir El-Ghamry, et al.
Soft Computing (2022) Vol. 26, Iss. 21, pp. 11435-11450
Open Access | Times Cited: 23

Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data
Sajid Ali, Shaker El–Sappagh, Farman Ali, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 5793-5804
Closed Access | Times Cited: 23

A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images
Azam Mehmood Qadri, Ali Raza, Fatma Eid, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100352-100352
Open Access | Times Cited: 14

Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
Nora El-Rashidy, Nesma E. ElSayed, Amir El-Ghamry, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7423-7442
Open Access | Times Cited: 18

An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models
Nora El-Rashidy, Ahmed Sedik, Ali I. Siam, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10695-10716
Open Access | Times Cited: 9

Sentiment Analysis of Users’ Reactions on Social Media during the Pandemic
Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, et al.
Electronics (2022) Vol. 11, Iss. 10, pp. 1648-1648
Open Access | Times Cited: 12

Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques
Marwa Elseddik, Reham R. Mostafa, Ahmed Elashry, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 492-492
Open Access | Times Cited: 7

Unleashing the power of explainable AI: sepsis sentinel's clinical assistant for early sepsis identification
Snehashis Chakraborty, Komal Kumar, Kalyan Tadepalli, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 57613-57641
Closed Access | Times Cited: 7

Swin-GA-RF: genetic algorithm-based Swin Transformer and random forest for enhancing cervical cancer classification
Manal Abdullah Alohali, Nora El-Rashidy, Saad Alaklabi, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2

Adaptive weighted stacking model with optimal weights selection for mortality risk prediction in sepsis patients
Liang Zhou, Wenjin Li, Tao Wu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11892-11913
Closed Access | Times Cited: 2

Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis
M. Yа. Yadgarov, Giovanni Landoni, Levan Berikashvili, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2

Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning
Esraa Hassan, Fatma M. Talaat, Samah A. Gamel, et al.
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 2, pp. 1507-1525
Open Access | Times Cited: 6

Explainable Dynamic Ensemble Framework for Classification Based on the Late Fusion of Heterogeneous Multimodal Data
Firuz Juraev, Shaker El–Sappagh, Tamer Abuhmed
Lecture notes in networks and systems (2024), pp. 555-570
Closed Access | Times Cited: 1

Absorption of echo signal for underwater acoustic signal target system using hybrid of ensemble empirical mode with machine learning techniques
P. Ashok, B. Latha
Multimedia Tools and Applications (2023) Vol. 82, Iss. 30, pp. 47291-47311
Closed Access | Times Cited: 4

A rule-based fuzzy ant colony improvement (ACI) approach for automated disease diagnoses
Piyush Bagla, Kuldeep Kumar
Multimedia Tools and Applications (2023) Vol. 82, Iss. 24, pp. 37709-37729
Closed Access | Times Cited: 3

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