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 19 citing articles:

Identification and Prediction of Chronic Diseases Using Machine Learning Approach
Alanazi Rayan
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 81

Big data: Historic advances and emerging trends in biomedical research
Conor J. Cremin, Sabyasachi Dash, Xiaofeng Huang
Current Research in Biotechnology (2022) Vol. 4, pp. 138-151
Open Access | Times Cited: 41

Efficient Deep Learning for Reforming Authentic Content Searching on Big Data
Anand Singh Rajawat, Kanishk Barhanpurkar, S. B. Goyal, et al.
Lecture notes in networks and systems (2021), pp. 319-327
Closed Access | Times Cited: 27

Effect of cardiac rehabilitation on progression to long-term care: A clinical and economic longitudinal study in Japan
Tomoyuki Takura, Arihiro Kiyosue, Teruyuki Koyama, et al.
Journal of Cardiology (2025)
Closed Access

Trends and status in resources security, ecological stability, and sustainable development research: a systematic analysis
Xinyu Kang, Minxi Wang, Jing Lin, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 33, pp. 50192-50207
Open Access | Times Cited: 14

AI-based big data analytics model for medical applications
S. Lokesh, Sudeshna Chakraborty, Revathy Pulugu, et al.
Measurement Sensors (2022) Vol. 24, pp. 100534-100534
Open Access | Times Cited: 9

Machine Learning for the Diagnosis and Prognosis of Chronic Illnesses
Kajal, Kanchan Saini, Nikhat Akhtar, et al.
International Journal of Scientific Research in Science Engineering and Technology (2024) Vol. 11, Iss. 3, pp. 112-122
Open Access | Times Cited: 1

Research Progress on the Association between Obesity and Prostate Cancer
Hang Xu, Yingshuang Tang, Xiaorui Zhang, et al.
annals of urologic oncology (2024)
Open Access

Challenges in predictive modelling of chronic kidney disease: A narrative review
Sukhanshi Khandpur, Prabhakar Mishra, Shambhavi Mishra, et al.
World Journal of Nephrology (2024) Vol. 13, Iss. 3
Closed Access

Machine Learning for the Multiple Disease Prediction System
Kumar Bibhuti B. Singh, Ashutosh Sharma, Ashish Verma, et al.
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 3, pp. 673-684
Open Access

Machine Learning-Based Approach for Early Detection and Prediction of Chronic Diseases
Shubhangi S. Shambharkar, P. Moon, Prachi A. Bainalwar, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 1

The use of modern digital technologies in predictive analysis of risk factors for premature death due to socially significant non-communicable diseases (literature review)
Galina A. Bezrukova, Tamara A. Novikova
Health Care of the Russian Federation (2022) Vol. 66, Iss. 6, pp. 484-490
Open Access | Times Cited: 1

Individualised prognosis for risk of developing abdominal obesity in the paediatric population
Marcus Vinícius Nascimento‐Ferreira, Gabriela Berg, Laura González, et al.
Clinical Nutrition ESPEN (2021) Vol. 45, pp. 333-340
Closed Access | Times Cited: 1

Organizational aspects of neurorehabilitation at the outpatient stage
Д. М. Храмцов, Yu. M. Vorokhta, M. S. Vikarenko, et al.
Journal of Education Health and Sport (2021) Vol. 11, Iss. 11, pp. 266-275
Open Access

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