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:

Development, Validation and Comparison of Artificial Neural Network and Logistic Regression Models Predicting Eosinophilic Chronic Rhinosinusitis With Nasal Polyps
Huiqin Zhou, Wenjun Fan, Danxue Qin, et al.
Allergy Asthma and Immunology Research (2023) Vol. 15, Iss. 1, pp. 67-67
Open Access | Times Cited: 9

Showing 9 citing articles:

Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review
Celina Silvia Stafie, Irina-Georgeta Șufaru, Cristina Mihaela Ghiciuc, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 1995-1995
Open Access | Times Cited: 51

Skin, gut, and lung barrier: Physiological interface and target of intervention for preventing and treating allergic diseases
Roberto Berni Canani, Marco Caminati, Laura R. Carucci, et al.
Allergy (2024) Vol. 79, Iss. 6, pp. 1485-1500
Open Access | Times Cited: 19

Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology
Derek MacMath, Meng Chen, Paneez Khoury
Current Allergy and Asthma Reports (2023) Vol. 23, Iss. 6, pp. 351-362
Open Access | Times Cited: 28

Predictive Value of Nasal Nitric Oxide for Diagnosing Eosinophilic Chronic Rhinosinusitis: A Systematic Review and Meta-Analysis
Do Hyun Kim, Hyesoo Shin, Gulnaz Stybayeva, et al.
American Journal of Rhinology and Allergy (2024) Vol. 38, Iss. 4, pp. 264-271
Closed Access | Times Cited: 5

NeuroNasal: Advanced AI-Driven Self-Supervised Learning Approach for Enhanced Sinonasal Pathology Detection
Nesrine Atitallah, Safa Ben Atitallah, Maha Driss, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2369-2369
Open Access

Predicting mortality and recurrence in colorectal cancer: Comparative assessment of predictive models
Shayeste Alinia, Mohammad Asghari Jafarabadi, Leila Mahmoudi, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27854-e27854
Open Access | Times Cited: 3

The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment
Maham Khan, Sandipta Banerjee, Sakshi Muskawad, et al.
Current Allergy and Asthma Reports (2024) Vol. 24, Iss. 7, pp. 361-372
Closed Access | Times Cited: 2

A preliminary review of the utility of artificial intelligence to detect eosinophilic chronic rhinosinusitis
Jayanth Rajan, Ross Rosen, Daniel Karasik, et al.
International Forum of Allergy & Rhinology (2024)
Open Access

Machine Learning-Based Prediction of Free IgE Concentration in Allergic Rhinitis Patients Treated with Allergen Immunotherapy and Omalizumab
Kazeem B. Olanrewaju, Laura Marthe Emilie Ngansop Djampou
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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