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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:

Utility of CT texture analysis to differentiate olfactory neuroblastoma from sinonasal squamous cell carcinoma
Masaki Ogawa, Satoshi Osaga, Norio Shiraki, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

Antibiotic residues in environment: antimicrobial resistance development, ecological risks, and bioremediation
Mansi Apreja, Aarjoo Sharma, Sanjeev Balda, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 3, pp. 3355-3371
Closed Access | Times Cited: 57
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
Direct N-Glycosylation Profiling of Urine and Prostatic Fluid Glycoproteins and Extracellular Vesicles
Calvin R.K. Blaschke, Jordan P. Hartig, Grace Grimsley, et al.
Frontiers in Chemistry (2021) Vol. 9
Open Access | Times Cited: 28
Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI
Luxi Wang, Naier Lin, Wei Chen, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
The Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review
Ameen Amanian, Austin Heffernan, Masaru Ishii, et al.
Otolaryngology (2022) Vol. 169, Iss. 1, pp. 21-30
Open Access | Times Cited: 16
Utility of unsupervised deep learning using a 3D variational autoencoder in detecting inner ear abnormalities on CT images
Masaki Ogawa, Masaya Kisohara, Tatsuhito Yamamoto, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105683-105683
Closed Access | Times Cited: 14
Artificial Intelligence in Otology, Rhinology, and Laryngology: A Narrative Review of Its Current and Evolving Picture
Ayushi Ghosh Moulic, Sagar S Gaurkar, Prasad Deshmukh
Cureus (2024)
Open Access | Times Cited: 1
Radiomics of the Paranasal Sinuses: A Systematic Review of Computer-Assisted Techniques to Assess Computed Tomography Radiological Data
Rhea Darbari Kaul, Peta‐Lee Sacks, Christian Thiel, et al.
American Journal of Rhinology and Allergy (2024)
Closed Access | Times Cited: 1
Alternative constraints for improved multiplane hologram generation
Alejandro Velez-Zea, John Fredy Barrera, Roberto Torroba
Applied Optics (2021) Vol. 61, Iss. 5, pp. B8-B8
Closed Access | Times Cited: 4
Use of Computed Tomography–Based Texture Analysis to Differentiate Benign From Malignant Salivary Gland Lesions
Shuqi Jiang, Yangfan Su, Liu Yan-wen, et al.
Journal of Computer Assisted Tomography (2023) Vol. 48, Iss. 3, pp. 491-497
Closed Access | Times Cited: 1
Imaging prediction of malignant and benign neoplasms in the salivary gland using two-phase multislice spiral CT texture analysis
Shuqi jiang, Yangfan Su, Liu Yan-wen, et al.
Research Square (Research Square) (2023)
Open Access
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