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:

Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation
Kyungsu Kim, Byung Kil Kim, Myung Jin Chung, et al.
PLoS ONE (2022) Vol. 17, Iss. 2, pp. e0263125-e0263125
Open Access | Times Cited: 21

Showing 21 citing articles:

A Scoping Review of Artificial Intelligence Research in Rhinology
Gabriel Osie, Rhea Darbari Kaul, Raquel Alvarado, et al.
American Journal of Rhinology and Allergy (2023) Vol. 37, Iss. 4, pp. 438-448
Open Access | Times Cited: 15
Advances in Image‐Based Artificial Intelligence in Otorhinolaryngology–Head and Neck Surgery: A Systematic Review
Qingwu Wu, Xinyue Wang, Guixian Liang, et al.
Otolaryngology (2023) Vol. 169, Iss. 5, pp. 1132-1142
Closed Access | Times Cited: 14
Enhanced artificial intelligence-based diagnosis using CBCT with internal denoising: Clinical validation for discrimination of fungal ball, sinusitis, and normal cases in the maxillary sinus
Kyungsu Kim, Chae Yeon Lim, Joongbo Shin, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107708-107708
Open Access | Times Cited: 13
The relationships of personality traits on perceptions and attitudes of dentistry students towards AI
Furkan Özbey, Yasin Yaşa
BMC Medical Education (2025) Vol. 25, Iss. 1
Open Access
Diagnostic accuracy of artificial intelligence in the detection of maxillary sinus pathology using computed tomography: A concise systematic review
Asmaa T. Uthman, Habiba Abouelenen, Shadab Khan, et al.
Imaging Science in Dentistry (2025) Vol. 55
Open Access
Unmasking the Fungal Menace: A Case Report of Chronic Granulomatous Invasive Fungal Sinusitis of Maxilla
Swathi Krishna, Ashok Vivekanand, Shahseena Abdulla, et al.
Sinusitis (2025) Vol. 9, Iss. 1, pp. 4-4
Open Access
Detection of concha bullosa using deep learning models in cone-beam computed tomography images: a feasibility study
Shishir Shetty, Auwalu Saleh Mubarak, Leena R. David, et al.
Archives of Craniofacial Surgery (2025) Vol. 26, Iss. 1, pp. 19-28
Open Access
Deep learning in the diagnosis of maxillary sinus diseases: a systematic review
Ziang Wu, Xinbo Yu, Yizhou Chen, et al.
Dentomaxillofacial Radiology (2024) Vol. 53, Iss. 6, pp. 354-362
Closed Access | Times Cited: 2
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus
Debayan Bhattacharya, Finn Behrendt, Benjamin Becker, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 19, Iss. 2, pp. 223-231
Open Access | Times Cited: 5
Application of IoT and Artificial Intelligence Technology in Smart Parking Management
Yongling Chu, Shaochun Li
(2023), pp. 1-6
Closed Access | Times Cited: 2
Understanding of AI in Dental Field with Technical Aspects
Nurullah Akkaya, Gürkan Ünsal, Kaan Orhan
Springer eBooks (2023), pp. 9-31
Closed Access | Times Cited: 2
A computerized tomography based deep learning diagnostic method of maxillary sinus fungal balls
Lü Peng, Q. M. Jonathan Wu, Ruiwen Shi, et al.
International Journal of Radiation Research (2024) Vol. 22, Iss. 1, pp. 9-15
Open Access
Computer‐Aided Diagnosis of Maxillary Sinus Anomalies: Validation and Clinical Correlation
Debayan Bhattacharya, Benjamin Becker, Finn Behrendt, et al.
The Laryngoscope (2024) Vol. 134, Iss. 9, pp. 3927-3934
Open Access
Convolutional transformer network for paranasal anomaly classification in the maxillary sinus
Debayan Bhattacharya, Finn Behrendt, Lennart Maack, et al.
Medical Imaging 2018: Computer-Aided Diagnosis (2024) Vol. 110, pp. 40-40
Closed Access
Artificial Intelligence in Rhinology
Noel Ayoub, Jordan T. Glicksman
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 831-842
Closed Access
Preclinical and Preliminary Evaluation of Perceived Image Quality of AI-Processed Low-Dose CBCT Analysis of a Single Tooth
Na-Hyun Kim, Byoung‐Eun Yang, Sam-Hee Kang, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 576-576
Open Access
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
Debayan Bhattacharya, Finn Behrendt, Benjamin Becker, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 9, pp. 1713-1721
Open Access
Automated detection of maxillary sinus opacifications compatible with sinusitis from CT images
Kyung Won Kwon, J Kim, Dongwoo Kang
Dentomaxillofacial Radiology (2024) Vol. 53, Iss. 8, pp. 549-557
Closed Access
The accuracy of deep learning models for diagnosing maxillary fungal ball rhinosinusitis
Pakapoom Sukswai, Narit Hnoohom, Minh P. Hoang, et al.
European Archives of Oto-Rhino-Laryngology (2024)
Closed Access
Analysis of Motor Car Detection System Based on Artificial Intelligence
Hongmei Guo
Lecture notes on data engineering and communications technologies (2023), pp. 637-642
Closed Access
Outlook for AI in Oral Surgery and Periodontics
Sevda Kurt‐Bayrakdar, Kaan Orhan, Rohan Jagtap
Springer eBooks (2023), pp. 97-130
Closed Access
Page 1

Scroll to top