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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:

Automatic COVID-19 prediction using explainable machine learning techniques
Sanzida Solayman, Sk. Azmiara Aumi, Chand Sultana Mery, et al.
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 36-46
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
Tim Hulsen
AI (2023) Vol. 4, Iss. 3, pp. 652-666
Open Access | Times Cited: 92
Diabetic retinopathy detection using principal component analysis multi-label feature extraction and classification
Tiwalade Modupe Usman, Yakub Kayode Saheed, Ignace Djitog, et al.
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 78-88
Open Access | Times Cited: 64
Office real estate price index forecasts through Gaussian process regressions for ten major Chinese cities
Bingzi Jin, Xiaojie Xu
Advances in Computational Intelligence (2024) Vol. 4, Iss. 3
Closed Access | Times Cited: 17
Diagnosis, visualisation and analysis of COVID-19 using Machine learning
Sudhir Aankal, K. Krishna Prasad, Chandrashekhar Uppin, et al.
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era
Amirhossein Moadab, Ghazale Kordi, Mohammad Mahdi Paydar, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120334-120334
Open Access | Times Cited: 29
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, et al.
Oeconomia Copernicana (2024) Vol. 15, Iss. 1, pp. 27-58
Open Access | Times Cited: 11
Stock price predictive analysis: An application of hybrid Barnacles Mating Optimizer with Artificial Neural Network
Zuriani Mustaffa, Mohd Herwan Sulaiman
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 109-117
Open Access | Times Cited: 20
Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Annals of Medicine (2023) Vol. 55, Iss. 1
Open Access | Times Cited: 17
A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction
Vitaliy Yakovyna, Nataliya Shakhovska, Aleksandra Szpakowska
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies
Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 269-278
Open Access | Times Cited: 6
Cognitive AI and implicit pseudo-spline wavelets for enhanced seismic prediction
Mutaz Mohammad
International Journal of Cognitive Computing in Engineering (2025) Vol. 6, pp. 401-411
Open Access
Advanced Parkinson’s Disease Detection: A comprehensive artificial intelligence approach utilizing clinical assessment and neuroimaging samples
Nusrat Islam, Md. Shaiful Alam Turza, Shazzadul Islam Fahim, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 199-220
Open Access | Times Cited: 4
Prompt-based contrastive learning to combat the COVID-19 infodemic
Zifan Peng, Mingchen Li, Yue Wang, et al.
Machine Learning (2025) Vol. 114, Iss. 1
Closed Access
Empirical research on the evolution trend of heat and sentiment for emergencies
Shihong Wu, Wei Yu, Yanxia Zhao, et al.
International Journal of Cognitive Computing in Engineering (2025)
Open Access
A comprehensive review of explainable AI for disease diagnosis
Al Amin Biswas
Array (2024) Vol. 22, pp. 100345-100345
Open Access | Times Cited: 3
Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data
Athira Nambiar, S Harikrishnaa, S Sharanprasath
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 9
Establishing operator trust in machine learning for enhanced reliability and safety in nuclear Power Plants
Merouane Najar, He Wang
Progress in Nuclear Energy (2024) Vol. 173, pp. 105280-105280
Closed Access | Times Cited: 2
An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
IEEE Access (2024) Vol. 12, pp. 75010-75033
Open Access | Times Cited: 2
A tree-based explainable AI model for early detection of Covid-19 using physiological data
Manar Abu Talib, Yaman Afadar, Qassim Nasir, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Enhancing Disease Diagnosis: Leveraging Machine Learning Algorithms for Healthcare Data Analysis
Monali Ramteke, Shital Raut
IETE Journal of Research (2024), pp. 1-22
Closed Access | Times Cited: 2
Periocular Region based Gender Identification using Transfer Learning
Aishwarya Kumar, K. R. Seeja
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 277-286
Open Access | Times Cited: 6
COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
SLAS TECHNOLOGY (2023) Vol. 28, Iss. 6, pp. 393-410
Open Access | Times Cited: 4
A heterogeneous multi-attribute case retrieval method for generating emergency response alternatives based on interval evidential reasoning and gained and lost dominance score method: An application to the COVID-19 emergency situation
Jing Zheng, Ying‐Ming Wang, Jian-Qing Gao, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122414-122414
Closed Access | Times Cited: 4
Prediction of Dengue Cases in Bangladesh using Explainable Machine Learning Approach
Sadia Sabrina Prome, T. K. BASAK, Tasnim Islam Plabon, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access | Times Cited: 1
Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
Hamed Khalili, Maria A. Wimmer
Life (2024) Vol. 14, Iss. 7, pp. 783-783
Open Access | Times Cited: 1
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