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:

Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Annals of Medicine (2023) Vol. 55, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
IEEE Access (2024) Vol. 12, pp. 29345-29361
Open Access | Times Cited: 18

Traffic accident severity prediction with ensemble learning methods
Süleyman Çeven, Ahmet Albayrak
Computers & Electrical Engineering (2024) Vol. 114, pp. 109101-109101
Closed Access | Times Cited: 10

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: 13

Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing
Enas Al-khlifeh, Ahmad S. Tarawneh, Khalid Almohammadi, et al.
Parasites & Vectors (2025) Vol. 18, Iss. 1
Open Access

Predicting hepatocellular carcinoma survival with artificial intelligence
İsmet Seven, Bayram Doğan, Hilal Arslan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Investigating the rheological characteristics of alkali-activated concrete using contemporary artificial intelligence approaches
Muhammad Nasir Amin, Ahmed A. Alawi Al-Naghi, Roz‐Ud‐Din Nassar, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 2

Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
Hamed Khalili, Maria A. Wimmer
Life (2024) Vol. 14, Iss. 7, pp. 783-783
Open Access | Times Cited: 2

Anxiety but not menopausal status influences the risk of long-COVID-19 syndrome in women living in Latin America
Faustino R. Pérez‐López, Juan E. Blümel, María S. Vallejo, et al.
Maturitas (2023) Vol. 180, pp. 107873-107873
Closed Access | Times Cited: 5

Construction and validation of a prognostic model of angiogenesis-related genes in multiple myeloma
Rui Hu, Fengyu Chen, Xueting Yu, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Intelligent Decision Technologies (2023) Vol. 17, Iss. 4, pp. 959-982
Closed Access | Times Cited: 2

Explanations based on Item Response Theory (eXirt): A model-specific method to explain tree-ensemble model in trust perspective
José de Sousa Ribeiro Filho, Lucas F. F. Cardoso, Raíssa Lorena Silva da Silva, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122986-122986
Open Access | Times Cited: 2

Machine Learning for Affordable Diagnosis of SARS-COV-2 from Hematological and Biochemical Tests
Reginaldo José da Silva, Carlos Roberto dos Santos Júnior, Thays Abreu, et al.
(2024)
Open Access

Integrative genomic analysis of the lung tissue microenvironment in SARS-CoV-2 and NL63 patients
Krithika Bhuvaneshwar, Subha Madhavan, Yuriy Gusev
Heliyon (2024) Vol. 10, Iss. 12, pp. e32772-e32772
Open Access

Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective
José Ribeiro, Lucas Felipe Ferraro Cardoso, Raíssa Silva, et al.
arXiv (Cornell University) (2022)
Open Access

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