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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:

Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review
Irkham Irkham, Abdullahi Umar Ibrahim, Chidi Wilson Nwekwo, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 426-426
Open Access | Times Cited: 20

Showing 20 citing articles:

Smart Graphene-Based Electrochemical Nanobiosensor for Clinical Diagnosis: Review
Irkham Irkham, Abdullahi Umar Ibrahim, Pwadubashiyi Coston Pwavodi, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2240-2240
Open Access | Times Cited: 40
The Application of Deep Learning for the Segmentation and Classification of Coronary Arteries
Şerife Kaba, Hüseyin Hacı, Ali Işın, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2274-2274
Open Access | Times Cited: 17
Recent Advances of Food Hazard Detection Based on Artificial Nanochannel Sensors
Yuan Xu, Guang Li, Weiwei Xu, et al.
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 21, pp. 11900-11916
Closed Access | Times Cited: 5
Green Synthesis of Ceria Nanoparticles from Cassava Tubers for Electrochemical Aptasensor Detection of SARS-CoV-2 on a Screen-Printed Carbon Electrode
Salma Nur Zakiyyah, Irkham Irkham, Yasuaki Einaga, et al.
ACS Applied Bio Materials (2024) Vol. 7, Iss. 4, pp. 2488-2498
Closed Access | Times Cited: 4
I-BrainNet: Deep Learning and Internet of Things (DL/IoT)–Based Framework for the Classification of Brain Tumor
Abdullahi Umar Ibrahim, Glodie Mpia Engo, Ibrahim Ame, et al.
Deleted Journal (2025)
Closed Access
Artificial intelligent-powered detection of breast cancer
Mohammed Y. Lawal, May Almousa, Abdullahi Umar Ibrahim, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101422-101422
Closed Access
An Optimized Model Based on Deep Learning and Gated Recurrent Unit for COVID-19 Death Prediction
Zahraa Tarek, Mahmoud Y. Shams, S. K. Towfek, et al.
Biomimetics (2023) Vol. 8, Iss. 7, pp. 552-552
Open Access | Times Cited: 10
Classification of H. pylori Infection from Histopathological Images Using Deep Learning
Abdullahi Umar Ibrahim, Fikret Dirilenoğlu, Uğuray Payam Hacısalihoğlu, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1177-1186
Open Access | Times Cited: 2
Internet-of-Things-Assisted Wireless Body Area Network-Enabled Biosensor Framework for Detecting Ventilator and Hospital-Acquired Pneumonia
K M Abubeker, S. Baskar, Poonam Yadav
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11354-11361
Closed Access | Times Cited: 2
Smartphone-based device for point-of-care diagnostics of pulmonary inflammation using convolutional neural networks (CNNs)
Mohammadreza Ghaderinia, Hamed Abadijoo, Ashkan Mahdavian, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
CRISPR-based biosensor for the detection of Marburg and Ebola virus
Irkham Irkham, Abdullahi Umar Ibrahim, Pwadubashiyi Coston Pwavodi, et al.
Sensing and Bio-Sensing Research (2023) Vol. 43, pp. 100601-100601
Open Access | Times Cited: 6
Expert consensus on One Health for establishing an enhanced and integrated surveillance system for key infectious diseases
Yanpeng Cheng, Zhen Zhang, Yuelong Shu, et al.
Infectious Medicine (2024) Vol. 3, Iss. 2, pp. 100106-100106
Open Access | Times Cited: 1
Applied Artificial Intelligence and Prospect of Internet of Everything (IoE) for the Detection of Tuberculosis
Ibrahim Omodamilola, Abdullahi Umar Ibrahim, Süleyman Aşır, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 1
Basic Principles and Applications of Biological Sensors Technology
Hesham R. Abuzeid, Ahmed F. Abdelaal, Safya Elsharkawy, et al.
(2024), pp. 381-425
Closed Access | Times Cited: 1
Basic Principles and Applications of Biological Sensors Technology
Hesham R. Abuzeid, Ahmed F. Abdelaal, Safya Elsharkawy, et al.
(2023), pp. 1-45
Closed Access | Times Cited: 3
High-content imaging and deep learning-driven detection of infectious bacteria in wounds
Ziyi Zhang, Lanmei Gao, Houbing Zheng, et al.
Bioprocess and Biosystems Engineering (2024)
Closed Access
From nanotechnology to AI: The next generation of CRISPR-based smart biosensors for infectious disease detection
Irkham Irkham, Abdullahi Umar Ibrahim, Chidi Wilson Nwekwo, et al.
Microchemical Journal (2024) Vol. 208, pp. 112577-112577
Closed Access
Large‐scaled detection of COVID‐19 from X‐ray using transfer learning
Abdullahi Umar Ibrahim, Ayse Gunnay Kibarer, Fadi Al‐Turjman, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 4, pp. 1116-1128
Closed Access | Times Cited: 1
COVID-19 Severity Prediction from Chest X-ray Images Using an Anatomy-Aware Deep Learning Model
Nusrat Binta Nizam, Sadi Mohammad Siddiquee, Mahbuba Shirin, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 5, pp. 2100-2112
Closed Access | Times Cited: 1
Classification between Viable and Non-Viable Influenza A Virus and Differentiation of H1N1 and H3N2 Subtypes with a Propidium Monoazide xx (PMAxx) Based Loop-Mediated Isothermal Amplification (LAMP) Assay
Yue Su, Lei Zhang, Shuting Tan, et al.
Analytical Letters (2023) Vol. 57, Iss. 15, pp. 2400-2411
Closed Access
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