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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:

Machine Learning Applications in Nephrology: A Bibliometric Analysis Comparing Kidney Studies to Other Medicine Subspecialities
Ashish Verma, Vipul C. Chitalia, Sushrut S. Waikar, et al.
Kidney Medicine (2021) Vol. 3, Iss. 5, pp. 762-767
Open Access | Times Cited: 23

Showing 23 citing articles:

ISPD peritonitis guideline recommendations: 2022 update on prevention and treatment
Philip Kam‐Tao Li, Kai Ming Chow, Yeoungjee Cho, et al.
Peritoneal Dialysis International (2022) Vol. 42, Iss. 2, pp. 110-153
Closed Access | Times Cited: 406
Integrated multi-omics with machine learning to uncover the intricacies of kidney disease
Xinze Liu, Jingxuan Shi, Yuanyuan Jiao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 8
Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy
Surjeet Dalal, Edeh Michael Onyema, Amit Malik
World Journal of Gastroenterology (2022) Vol. 28, Iss. 46, pp. 6551-6563
Open Access | Times Cited: 33
Enhancing individual glomerular filtration rate assessment: can we trust the equation? Development and validation of machine learning models to assess the trustworthiness of estimated GFR compared to measured GFR
Antoine Lanot, Anna Åkesson, Felipe Kenji Nakano, et al.
BMC Nephrology (2025) Vol. 26, Iss. 1
Open Access
Automation and Decision Support in the Area of Nephrology Using Numerical Algorithms, Artificial Intelligence, and Expert Approach: Review of the Current State of Knowledge
Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel
IEEE Access (2024) Vol. 12, pp. 86043-86066
Open Access | Times Cited: 3
Predicting the direction of financial dollarization movement with genetic algorithm and machine learning algorithms: The case of Turkey
Mete Bumin, Mehmet Özçalıcı
Expert Systems with Applications (2022) Vol. 213, pp. 119301-119301
Closed Access | Times Cited: 11
Evaluation of machine learning algorithms for renin-angiotensin-aldosterone system inhibitors associated renal adverse event prediction
Alper Tuna Güven, Murat Özdede, Yusuf Ziya Şener, et al.
European Journal of Internal Medicine (2023) Vol. 114, pp. 74-83
Closed Access | Times Cited: 6
Bibliometric analysis of 100 top cited articles of heart failure–associated diseases in combination with machine learning
Xuyuan Kuang, Zihao Zhong, Wei Liang, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 6
Application of machine learning algorithms for predicting outcomes of accident cases in Moroccan courts
Haidar Aissa, Tarik Ahajjam, Imad Zeroual, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 26, Iss. 2, pp. 1103-1103
Open Access | Times Cited: 7
Machine-Learning Model to Predict the Intradialytic Hypotension Based on Clinical-Analytical Data
Luis Mendoza, José Manuel Gómez Pulido, Miguel Vargas-Lombardo, et al.
IEEE Access (2022) Vol. 10, pp. 72065-72079
Open Access | Times Cited: 7
“Hi, how can i help you?”: embracing artificial intelligence in kidney research
Anita T. Layton
AJP Renal Physiology (2023) Vol. 325, Iss. 4, pp. F395-F406
Closed Access | Times Cited: 3
Artificial intelligence in nephrology
Shankara Anand, Ashish Verma
Elsevier eBooks (2023), pp. 201-209
Closed Access | Times Cited: 3
Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis
G. Maira, Carolina Luque, Fabian Vargas
Journal of Diabetes Science and Technology (2023) Vol. 18, Iss. 2, pp. 287-301
Closed Access | Times Cited: 3
Nephrology Lagging Behind in Machine Learning Utilization
Clarissa A. Cassol, Shree Sharma
Kidney Medicine (2021) Vol. 3, Iss. 5, pp. 693-695
Open Access | Times Cited: 6
Expending the power of artificial intelligence in preclinical research: an overview
A Diaconu, F D Cojocaru, I Gardikiotis, et al.
IOP Conference Series Materials Science and Engineering (2022) Vol. 1254, Iss. 1, pp. 012036-012036
Open Access | Times Cited: 4
Computational Classification Methods in Renal Pathology
Matthew Nicholas Basso
(2024)
Open Access
Computational Classification Methods in Renal Pathology
Matthew Nicholas Basso
(2024)
Open Access
Artificial intelligence approaches for risk stratification of diabetic kidney disease
Cheuk To Chung, Gary Tse, Tong Liu, et al.
Elsevier eBooks (2024), pp. 309-317
Closed Access
Recent updates in kidney risk prediction modeling: novel approaches and earlier outcomes
Gregory L. Hundemer, Manish M. Sood, Mark Canney
Current Opinion in Nephrology & Hypertension (2023) Vol. 32, Iss. 3, pp. 257-262
Closed Access | Times Cited: 1
The promise of artificial intelligence for kidney pathophysiology
Joy Jiang, Lili Chan, Girish N. Nadkarni
Current Opinion in Nephrology & Hypertension (2022) Vol. 31, Iss. 4, pp. 380-386
Open Access | Times Cited: 2
Machine Learning Insights Into Uric Acid Elevation With Thiazide Therapy Commencement and Intensification
Murat Özdede, Alper Tuna Güven
Cureus (2023)
Open Access
THE SCRUTINY OF AI, ML, BIG DATA,DEEP LEARNING AND OTHER TECHNICAL VOWS AND CALLS IN NEPHROLOGY
Mansi Sharma, Manpreet Singh Bajwa
2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) (2022), pp. 01-04
Closed Access
Traduction française de «Recommandations de l’ ISPD sur la péritonite : Mise à jour 2022 de la prévention et du traitement. »
Max Dratwa, Christian Verger
Bulletin de la Dialyse à Domicile (2022) Vol. 5, Iss. 2, pp. 123-177
Open Access
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