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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:

Improved ICU mortality prediction based on SOFA scores and gastrointestinal parameters
Yehudit Aperstein, Lidor Cohen, Itai Bendavid, et al.
PLoS ONE (2019) Vol. 14, Iss. 9, pp. e0222599-e0222599
Open Access | Times Cited: 21

Showing 21 citing articles:

Development of the Gastrointestinal Dysfunction Score (GIDS) for critically ill patients – A prospective multicenter observational study (iSOFA study)
Annika Reintam Blaser, Martin Padar, Merli Mändul, et al.
Clinical Nutrition (2021) Vol. 40, Iss. 8, pp. 4932-4940
Open Access | Times Cited: 82
Explainable Mortality Prediction Model for Congestive Heart Failure with Nature-Based Feature Selection Method
Nusrat Tasnim, Shamim Al Mamun, Mohammad Shahidul Islam, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6138-6138
Open Access | Times Cited: 15
Using Machine-Learning to Assess the Prognostic Value of Early Enteral Feeding Intolerance in Critically Ill Patients: A Retrospective Study
Orit Raphaeli, Liran Statlender, Chen Hajaj, et al.
Nutrients (2023) Vol. 15, Iss. 12, pp. 2705-2705
Open Access | Times Cited: 11
Endorobots for Colonoscopy: Design Challenges and Available Technologies
Luigi Manfredi
Frontiers in Robotics and AI (2021) Vol. 8
Open Access | Times Cited: 26
Establishment of ICU Mortality Risk Prediction Models with Machine Learning Algorithm Using MIMIC-IV Database
Ke Pang, Liang Li, Wen Ouyang, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1068-1068
Open Access | Times Cited: 17
A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study
Yang Liu, Kun Gao, Hongbin Deng, et al.
International Journal of Medical Informatics (2022) Vol. 163, pp. 104776-104776
Closed Access | Times Cited: 15
Prospective multicenter study to validate the gastrointestinal dysfunction score (GIDS) in intensive care patients: Study protocol for Part A of the international GUTPHOS study
Imre W. K. Kouw, Max Melchers, Merli Mändul, et al.
Clinical Nutrition ESPEN (2024) Vol. 63, pp. 702-708
Open Access | Times Cited: 2
The prediction power of machine learning on estimating the sepsis mortality in the intensive care unit
Selcuk Mehtap, Oguz Koc, A. Sevtap Selcuk‐Kestel
Informatics in Medicine Unlocked (2022) Vol. 28, pp. 100861-100861
Open Access | Times Cited: 9
Prevalence and risk factors of enteral nutrition intolerance in intensive care unit patients: a retrospective study
Kunrong Yu, Na Guo, Dingding Zhang, et al.
Chinese Medical Journal (2022) Vol. 135, Iss. 15, pp. 1814-1820
Open Access | Times Cited: 9
Organ Dysfunction Scores in the Adult ICU
Annika Reintam Blaser, K Bachmann, Yaseen M. Arabi
Annual update in intensive care and emergency medicine (2023), pp. 93-108
Closed Access | Times Cited: 2
Gastrointestinal failure score in children with traumatic brain injury
Ying Zhou, Weifeng Lu, Weibing Tang
BMC Pediatrics (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 5
Mortality Prediction in ICU Patients Using Machine Learning Models
Fawad Ahmad, Huma Ayub, Rehan Liaqat, et al.
2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST) (2021), pp. 372-376
Closed Access | Times Cited: 4
Predictors of outcomes of patients ≥ 80 years old admitted to intensive care units in Poland – a post-hoc analysis of the VIP2 prospective observational study
Paweł Pasieka, Michał Kurek, Wojciech Skupnik, et al.
Anaesthesiology Intensive Therapy (2024) Vol. 56, Iss. 1, pp. 61-69
Open Access
A nomogram to predict in-hospital mortality of neonates admitted to the intensive care unit
Xihua Huang, Zhenyu Liang, Li Tang, et al.
International Health (2021) Vol. 13, Iss. 6, pp. 633-639
Open Access | Times Cited: 3
Associations of Fatty Liver Disease With Recovery After Traumatic Injury
Katherine Stern, H Laura Aaltonen, Mike Weykamp, et al.
Journal of Surgical Research (2023) Vol. 291, pp. 270-281
Open Access
Atomic force microscopy of erythrocytes of patients with different severity of pancreatitis
Р. А. Пахомова, Л. В. Кочетова, G.N. Gulikyan, et al.
Сибирский научный медицинский журнал (2023) Vol. 43, Iss. 4, pp. 146-153
Open Access
Gastrointestinal Failure Score in Children with Traumatic Brain Injury
Ying Zhou, Weifeng Lü, Weibing Tang
Research Square (Research Square) (2020)
Open Access
The small bowel in acute and critical illness
Annika Reintam Blaser, Stephan M. Jakob, John A. Windsor, et al.
Oxford University Press eBooks (2022), pp. 144-152
Closed Access
A Time-Incorporated SOFA-Based Explainable Machine Learning Model for Mortality Prediction in Critically Ill Patients
Yang Liu, Kun Gao, DENG Hongbin -, et al.
Research Square (Research Square) (2021)
Open Access
Gastrointestinal Failure Score in Children with Traumatic Brain Injury
Ying Zhou, Weifeng Lü, Weibing Tang
Research Square (Research Square) (2021)
Open Access
Gastrointestinal Failure Score in Children with Traumatic Brain Injury
Ying Zhou, Weifeng Lü, Weibing Tang
Research Square (Research Square) (2021)
Open Access
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