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:

Deep learning-based framework for slide-based histopathological image analysis
Sai Kosaraju, Jeongyeon Park, Hyun Lee, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

Deep Learning for Lung Cancer Diagnosis, Prognosis and Prediction Using Histological and Cytological Images: A Systematic Review
Athena S. Davri, Effrosyni Birbas, Theofilos Kanavos, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3981-3981
Open Access | Times Cited: 31

A transformer‐based deep neural network for detection and classification of lung cancer via PET/CT images
Khalil Barbouchi, Dhekra El Hamdi, Inès Elouedi, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 4, pp. 1383-1395
Closed Access | Times Cited: 17

An aggregation of aggregation methods in computational pathology
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102885-102885
Open Access | Times Cited: 17

The Diagnostic Classification of the Pathological Image Using Computer Vision
Yasunari Matsuzaka, Ryu Yashiro
Algorithms (2025) Vol. 18, Iss. 2, pp. 96-96
Open Access

Machine learning enabled classification of lung cancer cell lines co-cultured with fibroblasts with lightweight convolutional neural network for initial diagnosis
Adam Germain, Alex Sabol, Anjani Chavali, et al.
Journal of Biomedical Science (2024) Vol. 31, Iss. 1
Open Access | Times Cited: 3

AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology
Yihong Ma, Shivprasad Jamdade, Lakshmi Konduri, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access

Deep Learning Analysis for Predicting Tumor Spread through Air Space in Early-Stage Lung Adenocarcinoma Pathology Images
De-Xiang Ou, Chao-Wen Lu, Li-Wei Chen, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 2132-2132
Open Access | Times Cited: 2

An Automated Diagnosis Method for Lung Cancer Target Detection and Subtype Classification-Based CT Scans
Lingling Wang, Chenghao Zhang, Yu Zhang, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 767-767
Open Access | Times Cited: 2

Segmentation, classification and interpretation of breast cancer medical images using human-in-the-loop machine learning
David Vázquez-Lema, Eduardo Mosqueira-Rey, Elena Hernández-Pereira, et al.
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3023-3045
Closed Access | Times Cited: 1

Deep learning system for true- and pseudo-invasion in colorectal polyps
Joe Yang, Lina Chen, Eric Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

A generative adversarial network to Reinhard stain normalization for histopathology image analysis
Afnan M. Alhassan
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 10, pp. 102955-102955
Open Access

BENCHMARKING VISION ENCODERS FOR SURVIVAL ANALYSIS USING HISTOPATHOLOGICAL IMAGES
Asad Nizami, Arita Halder
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Dual-Branch Knowledge Fusion Network for Differential Diagnosis of Lung Cancer Cytopathology Images
Shaowen Tang, Geng Chen, Wei Gong, et al.
Journal of Shanghai Jiaotong University (Science) (2024)
Closed Access

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