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:

Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning
He S. Yang, Yu Hou, Ljiljana V. Vasović, et al.
Clinical Chemistry (2020) Vol. 66, Iss. 11, pp. 1396-1404
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review
Ruby Dwivedi, Divya Mehrotra, Shaleen Chandra
Journal of Oral Biology and Craniofacial Research (2021) Vol. 12, Iss. 2, pp. 302-318
Open Access | Times Cited: 254
Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
Norah Alballa, Isra Al-Turaiki
Informatics in Medicine Unlocked (2021) Vol. 24, pp. 100564-100564
Open Access | Times Cited: 193
Accelerated biological aging in COVID-19 patients
Xue Cao, Wenjuan Li, Ting Wang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 170
The importance of being external. methodological insights for the external validation of machine learning models in medicine
Federico Cabitza, Andrea Campagner, Felipe Soares, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106288-106288
Open Access | Times Cited: 147
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
Federico Cabitza, Andrea Campagner, Davide Ferrari, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2020) Vol. 59, Iss. 2, pp. 421-431
Open Access | Times Cited: 144
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 15
Ensemble learning model for diagnosing COVID-19 from routine blood tests
Maryam AlJame, Imtiaz Ahmad, Ayyub Imtiaz, et al.
Informatics in Medicine Unlocked (2020) Vol. 21, pp. 100449-100449
Open Access | Times Cited: 126
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110337-110337
Open Access | Times Cited: 107
Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review
Eleni S. Adamidi, Konstantinos Mitsis, Konstantina S. Nikita
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 2833-2850
Open Access | Times Cited: 79
Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh, et al.
Journal of Biomedical Informatics (2021) Vol. 117, pp. 103751-103751
Open Access | Times Cited: 66
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 2, pp. 153-175
Open Access | Times Cited: 55
Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 50
Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models
Mehmet Tahir Huyut
IRBM (2022) Vol. 44, Iss. 1, pp. 100725-100725
Open Access | Times Cited: 50
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
Krishnaraj Chadaga, Chinmay Chakraborty, Srikanth Prabhu, et al.
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 2, pp. 452-470
Open Access | Times Cited: 49
The Impact of Artificial Intelligence on Microbial Diagnosis
Ahmad Alsulimani, Naseem Akhter, Fatima Jameela, et al.
Microorganisms (2024) Vol. 12, Iss. 6, pp. 1051-1051
Open Access | Times Cited: 7
Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique
Tawsifur Rahman, Fajer Al‐Ishaq, Fatima S. Al-Mohannadi, et al.
Diagnostics (2021) Vol. 11, Iss. 9, pp. 1582-1582
Open Access | Times Cited: 42
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application
Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7886-7886
Open Access | Times Cited: 36
An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples
Olusola Abayomi‐Alli, Robertas Damaševičius, Rytis Maskeliūnas, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2224-2224
Open Access | Times Cited: 33
Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network
Mehmet Tahir Huyut, Andrei Velichko
Sensors (2022) Vol. 22, Iss. 13, pp. 4820-4820
Open Access | Times Cited: 31
Machine learning-based clinical decision support using laboratory data
Hikmet Can Çubukçu, Deniz İlhan Topçu, Sedef Yenice
Clinical Chemistry and Laboratory Medicine (CCLM) (2023) Vol. 62, Iss. 5, pp. 793-823
Open Access | Times Cited: 15
Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS)
Pi-Yun Chen, Yu‐Cheng Cheng, Zi‐Heng Zhong, et al.
IEEE Access (2024) Vol. 12, pp. 9757-9775
Open Access | Times Cited: 6
Generalizability assessment of AI models across hospitals in a low-middle and high income country
Jenny Yang, Nguyen Thanh Dung, Phạm Ngọc Thạch, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Systematic Literature Review on Role of AI in IoT-Based Healthcare Solutions
Manisha Manisha, Ashish Sharma, Rekha Jain
Smart innovation, systems and technologies (2025), pp. 31-38
Closed Access
The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe
Ali Safdari, Chanda Sai Keshav, Deepanshu Mody, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0316467-e0316467
Open Access
IFCC Interim Guidelines on Biochemical/Hematological Monitoring of COVID-19 Patients
Simon Thompson, Mary Kathryn Bohn, Nicasio Mancini, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2020) Vol. 58, Iss. 12, pp. 2009-2016
Open Access | Times Cited: 44
Page 1 - Next Page

Scroll to top