Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 1-25 of 33 citing articles:

Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions
Mohamed Khalifa, Mona Albadawy
Computer Methods and Programs in Biomedicine Update (2024) Vol. 5, pp. 100148-100148
Open Access | Times Cited: 43
Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis
Nishath Sayed Abdul, Ganiga Channaiah Shivakumar, Sunila Bukanakere Sangappa, et al.
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 18
Advancing Patient Safety: The Future of Artificial Intelligence in Mitigating Healthcare-Associated Infections: A Systematic Review
Davide Radaelli, Stefano Di Maria, Zlatko Jakovski, et al.
Healthcare (2024) Vol. 12, Iss. 19, pp. 1996-1996
Open Access | Times Cited: 9
Procalcitonin and C-reactive protein as diagnostic biomarkers in COVID-19 and Non-COVID-19 sepsis patients: a comparative study
Jing Shi, Ying Zhuo, Ting-Qiang Wang, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Hospital Acquired Sepsis, Disease Prevalence, and Recent Advances in Sepsis Mitigation
Mary Garvey
Pathogens (2024) Vol. 13, Iss. 6, pp. 461-461
Open Access | Times Cited: 6
Improving Forest Detection Using Machine Learning and Remote Sensing: A Case Study in Southeastern Serbia
Ivan Potić, Zoran Srdić, Boris Vakanjac, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8289-8289
Open Access | Times Cited: 11
Artificial intelligence in hospital infection prevention: an integrative review
Rabie Adel El Arab, Zainab Almoosa, Mansour Alkhunaizi, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
The application of machine learning in clinical microbiology and infectious diseases
Xu Cheng, Lingyun Zhao, C. Ye, et al.
Frontiers in Cellular and Infection Microbiology (2025) Vol. 15
Open Access
Diagnoses Based on C-Reactive Protein Point-of-Care Tests
Miroslav Pohanka
Biosensors (2022) Vol. 12, Iss. 5, pp. 344-344
Open Access | Times Cited: 18
Mitochondrial phosphate carrier plays an important role in virulence of Candida albicans
Qiaoling Hu, Hua Zhong, Xinrong Wang, et al.
Mycology: An International Journal on Fungal Biology (2024) Vol. 16, Iss. 1, pp. 369-381
Open Access | Times Cited: 3
Global Epidemiology of Invasive Infections by Uncommon Candida Species: A Systematic Review
Sandra Pinho, Isabel M. Miranda, Sofia Costa‐de‐Oliveira
Journal of Fungi (2024) Vol. 10, Iss. 8, pp. 558-558
Open Access | Times Cited: 3
Newer Technological Advances: A Step Towards Better Dental Care
Mohan Kumar Pasupuleti, Supraja Salwaji, Mahitha Dantuluri, et al.
The Open Dentistry Journal (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Periodontitis is associated with the development of fungal sinusitis: A nationwide 12‐year follow‐up study
Min‐Gul Kim, Min Gu Kang, M. Lee, et al.
Journal Of Clinical Periodontology (2022) Vol. 50, Iss. 4, pp. 440-451
Closed Access | Times Cited: 12
Machine Learning Models in Sepsis Outcome Prediction for ICU Patients: Integrating Routine Laboratory Tests—A Systematic Review
Florentina Mușat, Dan Nicolae Păduraru, Alexandra Bolocan, et al.
Biomedicines (2024) Vol. 12, Iss. 12, pp. 2892-2892
Open Access | Times Cited: 2
Efficacy of Random Forest Models in Predicting Multidrug-Resistant Gram-Negative Bacterial Nosocomial Infections Compared to Traditional Logistic Regression Models
Jinglan Deng, Yongchun Ge, Lingli Yu, et al.
Microbial Drug Resistance (2024)
Closed Access | Times Cited: 1
Prediction of candidemia with machine learning techniques: state of the art
Daniele Roberto Giacobbe, Cristina Marelli, Sara Mora, et al.
Future Microbiology (2024) Vol. 19, Iss. 10, pp. 931-940
Closed Access | Times Cited: 1
Comparative Analysis of Two Candida parapsilosis Isolates Originating from the Same Patient Harbouring the Y132F and R398I Mutations in the ERG11 Gene
Matúš Štefánek, Martina Garaiová, Adam Valček, et al.
Cells (2023) Vol. 12, Iss. 12, pp. 1579-1579
Open Access | Times Cited: 3
Invasive Candidiasis in Patients with Solid Tumors: A Single-Center Retrospective Study
Xueying Bai, Ji Luo
International Journal of General Medicine (2023) Vol. Volume 16, pp. 2419-2426
Open Access | Times Cited: 2
Prediction of Prognostic Risk Factors in Patients with Invasive Candidiasis and Cancer: A Single-Centre Retrospective Study
Jingyi Li, Yaling Li, Yali Gao, et al.
BioMed Research International (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 4
Random forest model can predict the prognosis of hospital-acquired Klebsiella pneumoniae infection as well as traditional logistic regression model
Shuaihua Fan, Jinlan Lin, Sheng Wu, et al.
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0278123-e0278123
Open Access | Times Cited: 3
A machine learning model for early candidemia prediction in the intensive care unit: Clinical application
Qiang Meng, Bowang Chen, Yingyuan Xu, et al.
Research Square (Research Square) (2024)
Open Access
Research Progress of Biomarkers for Prognosis of Patients with Acute Post-Traumatic Sepsis
超 罗
Advances in Clinical Medicine (2024) Vol. 14, Iss. 02, pp. 4288-4293
Closed Access
Predictive health monitoring: Leveraging artificial intelligence for early detection of infectious diseases in nursing home residents through discontinuous vital signs analysis
Alberto Garcés-Jiménez, María-Luz Polo-Luque, Juan A. Gómez‐Pulido, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108469-108469
Open Access
Screening clinicalCandida albicansisolates for invasiveness by mimicking the human environment
Clément Vulin, Julian Sutter, Tiziano A. Schweizer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
In silico method and bioactivity evaluation to discover novel antimicrobial agents targeting FtsZ protein: Machine learning, virtual screening and antibacterial mechanism study
Linxiao Wang, Zhouling Xie, Wei Ruan, et al.
Naunyn-Schmiedeberg s Archives of Pharmacology (2024) Vol. 398, Iss. 1, pp. 601-616
Closed Access
Page 1 - Next Page

Scroll to top