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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:

Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations
Tobore Igbe, Jingzhen Li, Yuhang Liu, et al.
JMIR mhealth and uhealth (2019) Vol. 7, Iss. 8, pp. e11966-e11966
Open Access | Times Cited: 161

Showing 1-25 of 161 citing articles:

The Internet of Things: Impact and Implications for Health Care Delivery
Jaimon T. Kelly, Katrina L. Campbell, Enying Gong, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e20135-e20135
Open Access | Times Cited: 335
A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Omar Ali, Wiem Abdelbaki, Anup Shrestha, et al.
Journal of Innovation & Knowledge (2023) Vol. 8, Iss. 1, pp. 100333-100333
Open Access | Times Cited: 276
Deep Learning in Physiological Signal Data: A Survey
Beanbonyka Rim, Nak-Jun Sung, Se Dong Min, et al.
Sensors (2020) Vol. 20, Iss. 4, pp. 969-969
Open Access | Times Cited: 188
Artificial intelligence in healthcare: opportunities and risk for future
Sri Sunarti, Ferry Fadzlul Rahman, Muhammad A. Naufal, et al.
Gaceta Sanitaria (2021) Vol. 35, pp. S67-S70
Open Access | Times Cited: 185
Prediction of biomedical signals using deep learning techniques
K. Kalaivani, Pravin R. Kshirsagarr, J. Sirisha Devi, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 44, Iss. 6, pp. 9769-9782
Closed Access | Times Cited: 43
Opportunities and challenges in application of artificial intelligence in pharmacology
Mandeep Kumar, T. P. Nhung Nguyen, Jasleen Kaur, et al.
Pharmacological Reports (2023) Vol. 75, Iss. 1, pp. 3-18
Open Access | Times Cited: 42
Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry
Seema Yadav, Abhishek Singh, Rishika Singhal, et al.
Intelligent Pharmacy (2024) Vol. 2, Iss. 3, pp. 367-380
Open Access | Times Cited: 26
Emerging EM Wave Sensors for Non-Invasive Glucose Monitoring: Review, Techniques and Developments
S. Dutt, Rajat Thakur, Abhishek Kandwal, et al.
Sensors and Actuators Reports (2025), pp. 100282-100282
Open Access | Times Cited: 1
A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic
Abu Sufian, Anirudha Ghosh, Ali Safaa Sadiq, et al.
Journal of Systems Architecture (2020) Vol. 108, pp. 101830-101830
Open Access | Times Cited: 130
Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?
Catherine Adans-Dester, Stacy Bamberg, Francesco Bertacchi, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2020) Vol. 1, pp. 243-248
Open Access | Times Cited: 84
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: 78
A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors
Sumbal Maqsood, Shuxiang Xu, Son N. Tran, et al.
Expert Systems with Applications (2022) Vol. 197, pp. 116788-116788
Closed Access | Times Cited: 54
Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions
Mohammed Aledhari, Rehma Razzak, Basheer Qolomany, et al.
IEEE Access (2022) Vol. 10, pp. 31306-31339
Open Access | Times Cited: 49
A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
Musa Nehemiah, Abdulsalam Ya’u Gital, Nahla Aljojo, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 9677-9750
Open Access | Times Cited: 37
Deep Learning and Transfer Learning for Malaria Detection
Tayyaba Jameela, Kavitha Athota, Ninni Singh, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 37
Recent Advances of Artificial Intelligence in Healthcare: A Systematic Literature Review
Fotis Kitsios, Maria Kamariotou, Aristomenis Syngelakis, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7479-7479
Open Access | Times Cited: 27
Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review
Prashant Kumar, Salman Khalid, Heung Soo Kim
Mathematics (2023) Vol. 11, Iss. 13, pp. 3008-3008
Open Access | Times Cited: 23
Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges
Daniele Roberto Giacobbe, Cristina Marelli, Sabrina Guastavino, et al.
Clinical Therapeutics (2024) Vol. 46, Iss. 6, pp. 474-480
Closed Access | Times Cited: 11
Deep learning in structural bioinformatics: current applications and future perspectives
Niranjan Kumar, Rakesh Srivastava
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 10
Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication
Hanaa ZainEldin, Samah A. Gamel, Fatma M. Talaat, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 9
Unsupervised pathology detection in medical images using conditional variational autoencoders
Hristina Uzunova, Sandra Schultz, Heinz Handels, et al.
International Journal of Computer Assisted Radiology and Surgery (2018) Vol. 14, Iss. 3, pp. 451-461
Closed Access | Times Cited: 79
A Novel Deep Convolutional Neural Network Model to Monitor People following Guidelines to Avoid COVID-19
M. Irfan Uddin, Syed Atif Ali Shah, Mahmoud Ahmad Al‐Khasawneh
Journal of Sensors (2020) Vol. 2020, pp. 1-15
Open Access | Times Cited: 52
Basic of machine learning and deep learning in imaging for medical physicists
Luigi Manco, N. Maffei, Silvia Strolin, et al.
Physica Medica (2021) Vol. 83, pp. 194-205
Closed Access | Times Cited: 50
Early Detection of Sepsis With Machine Learning Techniques: A Brief Clinical Perspective
Daniele Roberto Giacobbe, Alessio Signori, Filippo Del Puente, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 47
Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique
Anirban Adak, Biswajeet Pradhan, Nagesh Shukla, et al.
Foods (2022) Vol. 11, Iss. 14, pp. 2019-2019
Open Access | Times Cited: 29
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