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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:

Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development
Arkadip Ray, Avijit Kumar Chaudhuri
Machine Learning with Applications (2020) Vol. 3, pp. 100011-100011
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models
Md Shahin Ali, Md Sipon Miah, Jahurul Haque, et al.
Machine Learning with Applications (2021) Vol. 5, pp. 100036-100036
Open Access | Times Cited: 294
IoT data analytics in dynamic environments: From an automated machine learning perspective
Li Yang, Abdallah Shami
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105366-105366
Open Access | Times Cited: 48
Data-driven early diagnosis of Chronic Kidney Disease: development and evaluation of an explainable AI model
Pedro A. Moreno-Sánchez
IEEE Access (2023) Vol. 11, pp. 38359-38369
Open Access | Times Cited: 28
Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks
Umar Islam, Abdullah A. Al‐Atawi, Hathal Salamah Alwageed, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1797-e1797
Open Access | Times Cited: 10
FSPBO-DQN: SeGAN based segmentation and Fractional Student Psychology Optimization enabled Deep Q Network for skin cancer detection in IoT applications
K. Suresh Kumar, N. Suganthi, Satish Muppidi, et al.
Artificial Intelligence in Medicine (2022) Vol. 129, pp. 102299-102299
Closed Access | Times Cited: 29
Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
Ramesh Chandra Poonia, Halah Abdulaziz Al-Alshaikh
Computers in Biology and Medicine (2024) Vol. 179, pp. 108874-108874
Closed Access | Times Cited: 5
Integrating Homomorphic Encryption with Blockchain Technology for Machine Learning Applications
Subhra Prosun Paul, S V N Sreenivasu, Shahinul Islam, et al.
Journal of Machine and Computing (2025), pp. 395-408
Closed Access
Growth optimization-based stacked bidirectional long short-term recurrent neural network model for detecting breast cancer in Internet of Things healthcare environment
Jayasheel Kumar Kalagatoori Archakam, B. Santosh Kumar, Balasubramanian Prabhu Kavin, et al.
Elsevier eBooks (2025), pp. 163-176
Closed Access
Growth Optimization–Based SBLRNN Model for Estimate Breast Cancer in IoT Healthcare Environment
Jayasheel Kumar Kalagatoori Archakam, B. Santosh Kumar, Balasubramanian Prabhu Kavin
(2025), pp. 311-328
Closed Access
A Hybrid Recurrent Neural Network with Mini-Batch Gradient Descent Method for Multiple Sclerosis Disease Prediction
E. Kavipriya, S. Sasikala
Lecture notes in electrical engineering (2025), pp. 245-254
Closed Access
A novel enhanced decision tree model for detecting chronic kidney disease
Avijit Kumar Chaudhuri, Deepankar Sinha, Dilip K. Banerjee, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2021) Vol. 10, Iss. 1
Open Access | Times Cited: 26
An Application of Data Envelopment Analysis and Machine Learning Approach to Risk Management
Suriyan Jomthanachai, Wai Peng Wong, Chee Peng Lim
IEEE Access (2021) Vol. 9, pp. 85978-85994
Open Access | Times Cited: 26
An automated feature selection and classification pipeline to improve explainability of clinical prediction models
Pedro A. Moreno-Sánchez
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2021), pp. 527-534
Closed Access | Times Cited: 20
An Application of Machine Learning to Logistics Performance Prediction: An Economics Attribute-Based of Collective Instance
Suriyan Jomthanachai, Wai Peng Wong, Khai Wah Khaw
Computational Economics (2023) Vol. 63, Iss. 2, pp. 741-792
Open Access | Times Cited: 8
Enhancing Prediction Precision and Reliability in Cervical, Lung, and Breast Cancer Diagnosis
Sayani Ghosh, Arnab Dutta, Shivnath Ghosh, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 49-80
Closed Access | Times Cited: 2
A Multi-Stage Approach Combining Feature Selection with Machine Learning Techniques for Higher Prediction Reliability and Accuracy in Cervical Cancer Diagnosis
Avijit Kumar Chaudhuri, Arkadip Ray, Dilip K. Banerjee, et al.
International Journal of Intelligent Systems and Applications (2021) Vol. 13, Iss. 5, pp. 46-63
Open Access | Times Cited: 15
Identification of Coronary Artery Disease using Extra Tree Classification
Nazia Wahid, Abdelhamid Zaïdi, Gaurav Dhiman, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2023), pp. 787-792
Closed Access | Times Cited: 5
Research challenges and future directions towards medical data processing
Anusha Ampavathi, Vijaya Saradhi Thommandru
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 10, Iss. 6, pp. 633-652
Closed Access | Times Cited: 9
A Multifaceted Approach to Understanding Mental Health Crises in the COVID-19 Era
Sayak Das, Somashri Pal Kar, Soumyadeep Sil, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 97-119
Closed Access | Times Cited: 1
Predictive Analysis of Endoscope Demand in Otolaryngology Outpatient Settings
David Lanier, Cristie Roush, Gwendolyn Young, et al.
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 721-732
Open Access | Times Cited: 1
Risk Management and Assessment Hybrid Framework for Business Process Reengineering Projects: Application in Auto-Motive Sector
Raffak Hicham, Lakhouili Abdallah, Mansouri Mohamed
(2024)
Open Access | Times Cited: 1
A Novel Brain Tumor Classification Model Using Machine Learning Techniques
Saikat Sundar Pal, Prithwish Raymahapatra, Soumyadeep Paul, et al.
International Journal of Engineering Technology and Management Sciences (2023) Vol. 7, Iss. 2, pp. 87-98
Open Access | Times Cited: 4
Determining the probability of poverty levels of the Indigenous Americans and Black Americans in US using Multiple Regression
Saikat Sundar Pal, Soumyadeep Paul, Rajdeep Dey
IJARCCE (2022) Vol. 11, Iss. 3
Open Access | Times Cited: 5
Estimation of non-alcoholic steatohepatitis (NASH) disease using clinical information based on the optimal combination of intelligent algorithms for feature selection and classification
Hamed Zamanian, Ahmad Shalbaf
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 8, pp. 964-979
Closed Access | Times Cited: 2
Ensemble classifiers with hybrid feature selection approach for diagnosis of coronary artery disease
M. Sowmiya, Banu Rekha B, E. Malar
THE SCIENTIFIC TEMPER (2023) Vol. 14, Iss. 03, pp. 726-734
Open Access | Times Cited: 2
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