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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.

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Showing 26-50 of 113 citing articles:

Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients
O. S. Albahri, A. A. Zaidan, A. S. Albahri, et al.
Journal of Advanced Research (2021) Vol. 37, pp. 147-168
Open Access | Times Cited: 70
A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work
Omar Hussein Salman, Zahraa K. Taha, Muntadher Alsabah, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 209, pp. 106357-106357
Closed Access | Times Cited: 67
Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses
A. S. Albahri, O. S. Albahri, A. A. Zaidan, et al.
Computer Standards & Interfaces (2021) Vol. 80, pp. 103572-103572
Open Access | Times Cited: 66
Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and challenges and recommended solution
Sarah Qahtan, Khaironi Yatim, Hazura Zulzalil, et al.
Journal of Network and Computer Applications (2022) Vol. 209, pp. 103529-103529
Closed Access | Times Cited: 50
A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems
Mohammed S. Al-Samarraay, Mahmood M. Salih, Mohamed A. Ahmed, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 6, pp. 4937-4955
Closed Access | Times Cited: 39
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks
A. S. Albahri, Rula A. Hamid, Ahmed Raheem Abdulnabi, et al.
Information Fusion (2023) Vol. 105, pp. 102208-102208
Open Access | Times Cited: 23
Dynamic decision-making framework for benchmarking brain–computer interface applications: a fuzzy-weighted zero-inconsistency method for consistent weights and VIKOR for stable rank
Z.T. Al-Qaysi, A. S. Albahri, Mohamed A. Ahmed, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 10355-10378
Closed Access | Times Cited: 11
A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: coherent taxonomy, open issues and recommendation pathway solution
A. A. Zaidan, B. B. Zaidan, O. S. Albahri, et al.
Health and Technology (2018) Vol. 8, Iss. 4, pp. 223-238
Closed Access | Times Cited: 82
Based blockchain-PSO-AES techniques in finger vein biometrics: A novel verification secure framework for patient authentication
A. H. Mohsin, A. A. Zaidan, B. B. Zaidan, et al.
Computer Standards & Interfaces (2019) Vol. 66, pp. 103343-103343
Closed Access | Times Cited: 75
Comprehensive review and analysis of anti-malware apps for smartphones
Mohammed Talal, A. A. Zaidan, B. B. Zaidan, et al.
Telecommunication Systems (2019) Vol. 72, Iss. 2, pp. 285-337
Closed Access | Times Cited: 75
Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology
A. A. Zaidan, B. B. Zaidan, M. A. Alsalem, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 12, pp. 8315-8366
Closed Access | Times Cited: 73
Mobile Patient Monitoring Systems from a Benchmarking Aspect: Challenges, Open Issues and Recommended Solutions
E. M. Almahdi, A. A. Zaidan, B. B. Zaidan, et al.
Journal of Medical Systems (2019) Vol. 43, Iss. 7
Closed Access | Times Cited: 72
Mobile-Based Patient Monitoring Systems: A Prioritisation Framework Using Multi-Criteria Decision-Making Techniques
E. M. Almahdi, A. A. Zaidan, B. B. Zaidan, et al.
Journal of Medical Systems (2019) Vol. 43, Iss. 7
Closed Access | Times Cited: 70
Novel technique for reorganisation of opinion order to interval levels for solving several instances representing prioritisation in patients with multiple chronic diseases
K. I. Mohammed, A. A. Zaidan, B. B. Zaidan, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 185, pp. 105151-105151
Closed Access | Times Cited: 64
Multi-Criteria Evaluation and Benchmarking for Active Queue Management Methods: Open Issues, Challenges and Recommended Pathway Solutions
Maimuna Khatari, A. A. Zaidan, B. B. Zaidan, et al.
International Journal of Information Technology & Decision Making (2019) Vol. 18, Iss. 04, pp. 1187-1242
Closed Access | Times Cited: 62
A Uniform Intelligent Prioritisation for Solving Diverse and Big Data Generated From Multiple Chronic Diseases Patients Based on Hybrid Decision-Making and Voting Method
K. I. Mohammed, Jafreezal Jaafar, A. A. Zaidan, et al.
IEEE Access (2020) Vol. 8, pp. 91521-91530
Open Access | Times Cited: 59
Multi-Criteria Evaluation and Benchmarking for Young Learners’ English Language Mobile Applications in Terms of LSRW Skills
Norshahila Ibrahim, Nawar. S. Jalood, M. J. Baqer, et al.
IEEE Access (2019) Vol. 7, pp. 146620-146651
Open Access | Times Cited: 58
Based on the multi-assessment model: Towards a new context of combining the artificial neural network and structural equation modelling: A review
A. S. Albahri, Alhamzah Alnoor, A. A. Zaidan, et al.
Chaos Solitons & Fractals (2021) Vol. 153, pp. 111445-111445
Closed Access | Times Cited: 55
Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component
Thura J. Mohammed, A. S. Albahri, A. A. Zaidan, et al.
Applied Intelligence (2021) Vol. 51, Iss. 5, pp. 2956-2987
Open Access | Times Cited: 54
PSO–Blockchain-based image steganography: towards a new method to secure updating and sharing COVID-19 data in decentralised hospitals intelligence architecture
A. H. Mohsin, A. A. Zaidan, B. B. Zaidan, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 9, pp. 14137-14161
Open Access | Times Cited: 53
Benchmarking of AQM methods of network congestion control based on extension of interval type-2 trapezoidal fuzzy decision by opinion score method
Mahmood M. Salih, O. S. Albahri, A. A. Zaidan, et al.
Telecommunication Systems (2021) Vol. 77, Iss. 3, pp. 493-522
Closed Access | Times Cited: 49
New mHealth hospital selection framework supporting decentralised telemedicine architecture for outpatient cardiovascular disease-based integrated techniques: Haversine-GPS and AHP-VIKOR
O. S. Albahri, A. A. Zaidan, B. B. Zaidan, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 1, pp. 219-239
Closed Access | Times Cited: 46
Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition and sensor glove perspectives
Mohammed S. Al-Samarraay, A. A. Zaidan, O. S. Albahri, et al.
Applied Soft Computing (2021) Vol. 116, pp. 108284-108284
Closed Access | Times Cited: 44
Integration of FDOSM and FWZIC Under Homogeneous Fermatean Fuzzy Environment: A Prioritization of COVID-19 Patients for Mesenchymal Stem Cell Transfusion
Hassan A. Alsattar, Sara Qahtan, R. T. Mohammed, et al.
International Journal of Information Technology & Decision Making (2022) Vol. 23, Iss. 04, pp. 1559-1599
Closed Access | Times Cited: 36
Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method
A. S. Albahri, A. A. Zaidan, Hassan A. Alsattar, et al.
Computational Intelligence (2022) Vol. 39, Iss. 2, pp. 225-257
Closed Access | Times Cited: 28

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