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:

Scalable Telehealth Services to Combat Novel Coronavirus (COVID-19) Pandemic
Shah Muhammad Azmat Ullah, Md. Milon Islam, Saifuddin Mahmud, et al.
SN Computer Science (2021) Vol. 2, Iss. 1
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Deep learning for COVID-19 detection based on CT images
Wentao Zhao, Wei Jiang, Xinguo Qiu
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 165

Internet of Things: Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 4, pp. 3611-3641
Open Access | Times Cited: 73

Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 102

Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients
Kinshuk Sengupta, Praveen Ranjan Srivastava
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 57

Wearable technology for early detection of COVID-19: A systematic scoping review
Shing Hui Reina Cheong, Yu Jie Xavia Ng, Ying Lau, et al.
Preventive Medicine (2022) Vol. 162, pp. 107170-107170
Open Access | Times Cited: 43

Survival study on deep learning techniques for IoT enabled smart healthcare system
Ashok Kumar Munnangi, Satheeshwaran UdhayaKumar, Vinayakumar Ravi, et al.
Health and Technology (2023) Vol. 13, Iss. 2, pp. 215-228
Open Access | Times Cited: 24

Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic
Mohammad Marufur Rahman, Md. Milon Islam, Md. Motaleb Hossen Manik, et al.
SN Computer Science (2021) Vol. 2, Iss. 5
Open Access | Times Cited: 54

Detection of COVID-19 Using Deep Learning Techniques and Cost Effectiveness Evaluation: A Survey
Manoj Kumar M V, Shadi Atalla, Nasser A. Saif Almuraqab, et al.
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 36

Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection
Chiranjibi Sitaula, Tej Bahadur Shahi, Sunil Aryal, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 38

Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans
Pulkit Sharma, Rhythm Arya, Richa Verma, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 28521-28545
Open Access | Times Cited: 16

Adoption of telehealth technologies: an approach to improving healthcare system
Arpana Sharma, Madhu Pruthi, Geetanjali Sageena
Translational Medicine Communications (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 22

Improved Secure IoTs-Based Visual Computing with Image Processing and Artificial Intelligence Techniques for Accurate Predicting of Novel COVID
Asmaa A. Ajwad
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications (2023) Vol. 14, Iss. 1, pp. 1-14
Open Access | Times Cited: 11

ICDP: An Improved Convolutional Neural Network Model to Detect Pneumonia from Chest X-Ray Images
Khan Md. Hasib, Md. Oli Ullah, Md. Imran Nazir, et al.
Lecture notes in networks and systems (2024), pp. 467-479
Closed Access | Times Cited: 3

ANFIS-Net for automatic detection of COVID-19
Afnan Al-Ali, Omar Elharrouss, Uvais Qidwai, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 22

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients
Jun Wang, Chen Liu, Jingwen Li, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 15

Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier
Malathy Jawahar, J. Prassanna, Vinayakumar Ravi, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 28, pp. 40451-40468
Open Access | Times Cited: 11

An Effective Framework for Identifying Pneumonia in Healthcare Using a Convolutional Neural Network
Md. Rabiul Hasan, Shah Muhammad Azmat Ullah, Md. Ebtidaul Karim
(2023), pp. 1-6
Closed Access | Times Cited: 6

Predictive modeling for COVID-19 readmission risk using machine learning algorithms
Mostafa Shanbehzadeh, Azita Yazdani, Mohsen Shafiee, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 9

Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation
Andrey Reshetnikov, Vitalii Berdutin, Alexander Zaporozhtsev, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 5

Prognosis patients with COVID-19 using deep learning
José Luis Guadiana-Alvarez, Fida Hussain, Rubén Morales-Menéndez, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 8

Multisource data framework for prehospital emergency triage in real-time IoMT-based telemedicine systems
Abdulrahman Ahmed Jasim, Oğuz Ata, Omar Hussein Salman
International Journal of Medical Informatics (2024) Vol. 192, pp. 105608-105608
Closed Access | Times Cited: 1

A New Dimension of Health Care: The Benefits, Limitations and Implications of Virtual Medicine
Kesha Shah, Ana M. Tomljenovic-Berube
Journal of Undergraduate Life Sciences (2021) Vol. 15, Iss. 1, pp. 10-10
Open Access | Times Cited: 10

Deep Learning Applications for COVID-19 Analysis: A State-of-the-Art Survey
Wenqian Li, Xing Deng, Haijian Shao, et al.
Computer Modeling in Engineering & Sciences (2021) Vol. 129, Iss. 1, pp. 65-98
Open Access | Times Cited: 10

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