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:

Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges
Daniele Roberto Giacobbe, Yudong Zhang, José de la Fuente
Annals of Medicine (2023) Vol. 55, Iss. 2
Open Access | Times Cited: 12

Showing 12 citing articles:

Machine learning in infectious diseases: potential applications and limitations
Ahmad Z. Al Meslamani, Isidro Sobrino, José de la Fuente
Annals of Medicine (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 10

Prediction model of pressure injury occurrence in diabetic patients during ICU hospitalization——XGBoost machine learning model can be interpreted based on SHAP
Jie Xu, Tie Chen, Xixi Fang, et al.
Intensive and Critical Care Nursing (2024) Vol. 83, pp. 103715-103715
Closed Access | Times Cited: 5

Reverse vaccinology: A strategy also used for identifying potential vaccine antigens in poultry
Noémie Gloanec, Muriel Guyard‐Nicodème, Marianne Chemaly, et al.
Vaccine (2025) Vol. 48, pp. 126756-126756
Open Access

The Future of Virology Diagnostics Using Wearable Devices Driven by Artificial Intelligence
Malik Sallam, Maad M. Mijwil, Mostafa Abotaleb, et al.
Advances in computational intelligence and robotics book series (2025), pp. 473-504
Closed Access

Advantages and limitations of large language models for antibiotic prescribing and antimicrobial stewardship
Daniele Roberto Giacobbe, Cristina Marelli, Byomkesh Manna, et al.
npj Antimicrobials and Resistance (2025) Vol. 3, Iss. 1
Open Access

Machine learning algorithms for the evaluation of risk by tick-borne pathogens in Europe
Agustín Estrada‐Peña, José de la Fuente
Annals of Medicine (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 3

ARTIFICIAL INTELLIGENCE IN CLINICAL APPLICATIONS FOR INFECTIOUS DISEASES: DIAGNOSIS, TREATMENT AND IMMUNIZATION
Selda Aslan
Gaziantep Islam Science and Technology University (2024)
Open Access | Times Cited: 1

Artificial intelligence and prescription of antibiotic therapy: present and future
Daniele Roberto Giacobbe, Cristina Marelli, Sabrina Guastavino, et al.
Expert Review of Anti-infective Therapy (2024) Vol. 22, Iss. 10, pp. 819-833
Closed Access | Times Cited: 1

Catastrophic selection: the other side of the coin
José de la Fuente
Annals of Medicine (2024) Vol. 56, Iss. 1
Open 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

Exploring the Potential of Artificial Intelligence in Infectious Disease
Hüsna Şengül Aşkın, Ahmet Şahin, Lütfü Aşkın
Gaziantep Islam Science and Technology University (2024) Vol. 5, Iss. 4, pp. 168-181
Open Access

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