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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:

Big data and machine learning algorithms for health-care delivery
Kee Yuan Ngiam, Ing Wei Khor
The Lancet Oncology (2019) Vol. 20, Iss. 5, pp. e262-e273
Closed Access | Times Cited: 1089

Showing 1-25 of 1089 citing articles:

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
Applications of Artificial Intelligence and Machine learning in smart cities
Zaib Ullah, Fadi Al‐Turjman, Leonardo Mostarda, et al.
Computer Communications (2020) Vol. 154, pp. 313-323
Closed Access | Times Cited: 559
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 554
The ethics of AI in health care: A mapping review
Jessica Morley, Caio C. Vieira Machado, Christopher Burr, et al.
Social Science & Medicine (2020) Vol. 260, pp. 113172-113172
Closed Access | Times Cited: 428
Data mining in clinical big data: the frequently used databases, steps, and methodological models
Wentao Wu, Yuan-Jie Li, Aozi Feng, et al.
Military Medical Research (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 383
Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment
Hema Sekhar Reddy Rajula, Giuseppe Verlato, Mirko Manchia, et al.
Medicina (2020) Vol. 56, Iss. 9, pp. 455-455
Open Access | Times Cited: 372
Edge Machine Learning for AI-Enabled IoT Devices: A Review
Massimo Merenda, Carlo Porcaro, Demetrio Iero
Sensors (2020) Vol. 20, Iss. 9, pp. 2533-2533
Open Access | Times Cited: 343
Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
Md Manjurul Ahsan, Shahana Akter Luna, Zahed Siddique
Healthcare (2022) Vol. 10, Iss. 3, pp. 541-541
Open Access | Times Cited: 314
Enabling Technologies for Personalized and Precision Medicine
Dean Ho, Stephen R. Quake, Edward R.B. McCabe, et al.
Trends in biotechnology (2020) Vol. 38, Iss. 5, pp. 497-518
Open Access | Times Cited: 301
Data-Driven Machine Learning in Environmental Pollution: Gains and Problems
Xian Liu, Dawei Lü, Aiqian Zhang, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 4, pp. 2124-2133
Closed Access | Times Cited: 276
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Medicinal Research Reviews (2020) Vol. 40, Iss. 4, pp. 1276-1314
Closed Access | Times Cited: 254
Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review
Jiamin Yin, Kee Yuan Ngiam, Hock‐Hai Teo
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e25759-e25759
Open Access | Times Cited: 252
Machine Learning in Healthcare
Hafsa Habehh, Suril Gohel
Current Genomics (2021) Vol. 22, Iss. 4, pp. 291-300
Open Access | Times Cited: 247
Gut microbiome, big data and machine learning to promote precision medicine for cancer
Giovanni Cammarota, Gianluca Ianiro, Anna M. Ahern, et al.
Nature Reviews Gastroenterology & Hepatology (2020) Vol. 17, Iss. 10, pp. 635-648
Closed Access | Times Cited: 241
Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival
Arturo Moncada‐Torres, Marissa C. van Maaren, Mathijs P. Hendriks, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 226
Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future
Muhammad Iqbal, Zeeshan Javed, Haleema Sadia, et al.
Cancer Cell International (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 212
Adoption of artificial intelligence in smart cities: A comprehensive review
H.M.K.K.M.B. Herath, Mamta Mittal
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 1, pp. 100076-100076
Open Access | Times Cited: 197
Predicting property prices with machine learning algorithms
Winky K.O. Ho, Bo Tang, Siu Wai Wong
Journal of Property Research (2020) Vol. 38, Iss. 1, pp. 48-70
Open Access | Times Cited: 189
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: 188
Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health
R. Fletcher, Audace Nakeshimana, Olusubomi Olubeko
Frontiers in Artificial Intelligence (2021) Vol. 3
Open Access | Times Cited: 162
Big data in IBD: big progress for clinical practice
Nasim Sadat Seyed Tabib, Matthew Madgwick, Padhmanand Sudhakar, et al.
Gut (2020) Vol. 69, Iss. 8, pp. 1520-1532
Open Access | Times Cited: 161
Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury
Benjamin Gravesteijn, Daan Nieboer, Ari Ercole, et al.
Journal of Clinical Epidemiology (2020) Vol. 122, pp. 95-107
Open Access | Times Cited: 160
Artificial intelligence in abdominal aortic aneurysm
Juliette Raffort, Cédric Adam, Marion Carrier, et al.
Journal of Vascular Surgery (2020) Vol. 72, Iss. 1, pp. 321-333.e1
Open Access | Times Cited: 145
Artificial intelligence in ultrasound
Yuting Shen, Liang Chen, Wenwen Yue, et al.
European Journal of Radiology (2021) Vol. 139, pp. 109717-109717
Closed Access | Times Cited: 145
Bayesian networks in healthcare: Distribution by medical condition
Scott McLachlan, Kudakwashe Dube, G. A. Hitman, et al.
Artificial Intelligence in Medicine (2020) Vol. 107, pp. 101912-101912
Open Access | Times Cited: 141
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