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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:

Advancing Oncology Diagnostics: AI-Enabled Early Detection of Lung Cancer Through Hybrid Histological Image Analysis
Naglaa F. Noaman, Bassam M. Kanber, Ahmad Al Smadi, et al.
IEEE Access (2024) Vol. 12, pp. 64396-64415
Open Access | Times Cited: 11

Showing 11 citing articles:

Fluorescence microscopy and histopathology image based cancer classification using graph convolutional network with channel splitting
Asish Bera, Debotosh Bhattacharjee, Ondřej Krejcar
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107400-107400
Closed Access
ELW‐CNN: An extremely lightweight convolutional neural network for enhancing interoperability in colon and lung cancer identification using explainable AI
Shaiful Ajam Opee, Arifa Akter Eva, Asaduzzaman Noor, et al.
Healthcare Technology Letters (2025) Vol. 12, Iss. 1
Open Access
Transfer Learning-Based Integration of Dual Imaging Modalities for Enhanced Classification Accuracy in Confocal Laser Endomicroscopy of Lung Cancer
Mircea-Sebastian Șerbănescu, Liliana Streba, Alin Demetrian, et al.
Cancers (2025) Vol. 17, Iss. 4, pp. 611-611
Open Access
End-to-End Fully Automated Lung Cancer Screening System
Pushkar Sathe, Alka Mahajan, Deepak Patkar, et al.
IEEE Access (2024) Vol. 12, pp. 108515-108532
Open Access | Times Cited: 1
A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images
Oğuzhan KATAR, Özal Yıldırım, Ru San Tan, et al.
Diagnostics (2024) Vol. 14, Iss. 22, pp. 2497-2497
Open Access | Times Cited: 1
Early cancer detection using deep learning and medical imaging: A survey
Istiak Ahmad, Fahad Alqurashi
Critical Reviews in Oncology/Hematology (2024) Vol. 204, pp. 104528-104528
Open Access
A novel lung cancer detection adopting Radiomic feature extraction with Locust assisted CS based CNN classifier
P. Lavanya, K. Vidhya
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107139-107139
Closed Access
DERİN REZİDÜEL AĞLARIN AKCİĞER KANSERİ SINIFLANDIRMADAKİ BAŞARIMI: HİSTOPATOLOJİK GÖRÜNTÜLER ÜZERİNDE İNCELEME
Merve Yağmurcu, Sultan Uzun, Özlem Polat
Sivas Cumhuriyet Üniversitesi Bilim ve Teknoloji Dergisi. (2024)
Closed Access
Enhancing Breast Cancer Detection through Vision Transformer Models and Adaptive Fine-Tuning
Bassam M. Kanber, Ahmad Al Smadi, Ahed Abugabah, et al.
(2024), pp. 36-40
Closed Access
Transfer Learning Method Towards Lung and Colon Cancers Automated Analysis in Histopathological Images
Marwen Sakli, Chaker Essid, M. Bassem Ben Salah, et al.
(2024), pp. 1-5
Closed Access
An artificial intelligence approach to lung cancer diagnosis using LungNet-TL model
Jaslin C. Quba, Carol J. Jerusalin, Fred A. Lenin
i-manager s Journal on Information Technology (2024) Vol. 13, Iss. 4, pp. 6-6
Closed Access
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