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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:

Framework for feature selection of predicting the diagnosis and prognosis of necrotizing enterocolitis
Jianfei Song, Zhenyu Li, Guijin Yao, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0273383-e0273383
Open Access | Times Cited: 11

Showing 11 citing articles:

Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study
Seung Hyun Kim, Yoon Ju Oh, Joonhyuk Son, et al.
European Journal of Pediatrics (2024) Vol. 183, Iss. 6, pp. 2743-2751
Open Access | Times Cited: 5
Cohort-based nomogram for forensic prediction of SCD: a single-center pilot study
Zihan Liao, G Z Chen, Xiujing Cao, et al.
Forensic Science Medicine and Pathology (2025)
Closed Access
Use of CatBoost algorithm to identify the need for surgery in infants with necrotizing enterocolitis
Xinyun Jin, Wenqiang Sun, Yihui Li, et al.
Frontiers in Pediatrics (2025) Vol. 13
Open Access
Methods of identifying surgical Necrotizing Enterocolitis—a systematic review and meta-analysis
George Bethell, Ian Jones, Cheryl Battersby, et al.
Pediatric Research (2024)
Open Access | Times Cited: 4
State of the art review on machine learning and artificial intelligence in the study of neonatal necrotizing enterocolitis
Steven J. McElroy, Shiloh R. Lueschow
Frontiers in Pediatrics (2023) Vol. 11
Open Access | Times Cited: 10
AI models in clinical neonatology: a review of modeling approaches and a consensus proposal for standardized reporting of model performance
Ameena Husain, Lindsey A. Knake, Brynne A. Sullivan, et al.
Pediatric Research (2024)
Closed Access | Times Cited: 2
Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio
Muhammad Hamraz, Amjad Ali, Wali Khan Mashwani, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284619-e0284619
Open Access | Times Cited: 6
Artificial intelligence to classify acquired intestinal injury in preterm neonates—a new perspective
Alain Cuna, Muralidhar H. Premkumar, Venkatesh Sampath
Pediatric Research (2024) Vol. 96, Iss. 1, pp. 30-32
Closed Access | Times Cited: 1
Determining important features for dengue diagnosis using feature selection methods
Yulianti Paula Bria, Paskalis Andrianus Nani, Yovinia Carmeneja Hoar Siki, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Data-independent acquisition-based blood proteomics unveils predictive biomarkers for neonatal necrotizing enterocolitis
Feng Chen, Kezhe Tan, Zhibao Lv, et al.
Analytical and Bioanalytical Chemistry (2024)
Open Access
[ROC curves: general characteristics and their usefulness in clinical practice].
Ivonne Roy-García, Carlos Paredes-Manjarréz, Jorge Moreno‐Palacios, et al.
PubMed (2023) Vol. 61, Iss. Suppl 3, pp. S497-S502
Closed Access
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