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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:

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Zeeshan Ahmed, Khalid Gaffer Mohamed, Saman Zeeshan, et al.
Database (2020) Vol. 2020
Open Access | Times Cited: 619

Showing 26-50 of 619 citing articles:

The Future of Precision Medicine in the Cure of Alzheimer’s Disease
Azher Arafah, Saima Khatoon, Iyman Rasool, et al.
Biomedicines (2023) Vol. 11, Iss. 2, pp. 335-335
Open Access | Times Cited: 60
From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Current Research in Biotechnology (2023) Vol. 7, pp. 100164-100164
Open Access | Times Cited: 60
Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 51
Artificial intelligence: Machine learning approach for screening large database and drug discovery
Prachi Parvatikar, Sudha Patil, Kedar Khaparkhuntikar, et al.
Antiviral Research (2023) Vol. 220, pp. 105740-105740
Closed Access | Times Cited: 47
Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 46
AI'S IMPACT ON PERSONALIZED MEDICINE: TAILORING TREATMENTS FOR IMPROVED HEALTH OUTCOMES
Francisca Chibugo Udegbe, Ogochukwu Roseline Ebulue, Charles Chukwudalu Ebulue, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 4, pp. 1386-1394
Open Access | Times Cited: 39
Advances in artificial intelligence for drug delivery and development: A comprehensive review
Amol D. Gholap, Md Jasim Uddin, Md. Faiyazuddin, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108702-108702
Closed Access | Times Cited: 34
Ethical Considerations in the Use of Artificial Intelligence and Machine Learning in Health Care: A Comprehensive Review
Mitul Harishbhai Tilala, Pradeep Kumar Chenchala, Ashok Choppadandi, et al.
Cureus (2024)
Open Access | Times Cited: 29
ARTIFICIAL INTELLIGENCE IN HEALTHCARE: A REVIEW OF ETHICAL DILEMMAS AND PRACTICAL APPLICATIONS
Evangel Chinyere Anyanwu, Chiamaka Chinaemelum Okongwu, Tolulope O Olorunsogo, et al.
International Medical Science Research Journal (2024) Vol. 4, Iss. 2, pp. 126-140
Open Access | Times Cited: 26
Data analytics in healthcare: A review of patient-centric approaches and healthcare delivery
Chidera Victoria Ibeh, Oluwafunmi Adijat Elufioye, Temidayo Olorunsogo, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 2, pp. 1750-1760
Open Access | Times Cited: 26
PRECISION MEDICINE AND GENOMICS: A COMPREHENSIVE REVIEW OF IT-ENABLED APPROACHES
Francisca Chibugo Udegbe, Ogochukwu Roseline Ebulue, Charles Chukwudalu Ebulue, et al.
International Medical Science Research Journal (2024) Vol. 4, Iss. 4, pp. 509-520
Open Access | Times Cited: 26
A comprehensive review of data analytics in healthcare management: Leveraging big data for decision-making
Jeremiah Olawumi Arowoogun, Oloruntoba Babawarun, Rawlings Chidi, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 2, pp. 1810-1821
Open Access | Times Cited: 25
Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions – A Narrative Review for a Comprehensive Insight
Ahmed M. Alhuwaydi
Risk Management and Healthcare Policy (2024) Vol. Volume 17, pp. 1339-1348
Open Access | Times Cited: 24
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Xieling Chen, Haoran Xie, Xiaohui Tao, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 23
AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 18
The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development
Mayur Suresh Gawande, N. N. Zade, Praveen Kumar, et al.
Molecular Biomedicine (2025) Vol. 6, Iss. 1
Open Access | Times Cited: 2
A novel hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region
Md. Maruf Hossain, Md. Mahfuz Ahmed, Abdullah Al Nomaan Nafi, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109711-109711
Closed Access | Times Cited: 2
Practicing precision medicine with intelligently integrative clinical and multi-omics data analysis
Zeeshan Ahmed
Human Genomics (2020) Vol. 14, Iss. 1
Open Access | Times Cited: 95
Reliable and Resilient AI and IoT-Based Personalised Healthcare Services: A Survey
Najma Taimoor, Semeen Rehman
IEEE Access (2021) Vol. 10, pp. 535-563
Open Access | Times Cited: 79
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, et al.
Pathogens (2021) Vol. 10, Iss. 8, pp. 1048-1048
Open Access | Times Cited: 73
Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential
Kruthi Suvarna, Deeptarup Biswas, Medha Gayathri J. Pai, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 67
Popular deep learning algorithms for disease prediction: a review
Zengchen Yu, Ke Wang, Zhibo Wan, et al.
Cluster Computing (2022) Vol. 26, Iss. 2, pp. 1231-1251
Open Access | Times Cited: 64
A privacy preserving framework for federated learning in smart healthcare systems
Wenshuo Wang, Xu Li, Xiuqin Qiu, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103167-103167
Closed Access | Times Cited: 61
Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review
Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 831-864
Open Access | Times Cited: 54
Machine learning approaches and their applications in drug discovery and design
Sonal Priya, G. Tripathi, Dev Bukhsh Singh, et al.
Chemical Biology & Drug Design (2022) Vol. 100, Iss. 1, pp. 136-153
Closed Access | Times Cited: 50

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