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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:

Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer
Mizuho Nishio, H Matsuo, Yasuhisa Kurata, et al.
Cancers (2023) Vol. 15, Iss. 5, pp. 1535-1535
Open Access | Times Cited: 12

Showing 12 citing articles:

Automating Prostate Cancer Grading: A Novel Deep Learning Framework for Automatic Prostate Cancer Grade Assessment using Classification and Segmentation
Saidul Kabir, Rusab Sarmun, Rafif Mahmood Al Saady, et al.
Deleted Journal (2025)
Closed Access
A generalised vision transformer-based self-supervised model for diagnosing and grading prostate cancer using histological images
Abadh K. Chaurasia, H Harris, Patrick W Toohey, et al.
Prostate Cancer and Prostatic Diseases (2025)
Open Access
Efficient grading of prostate cancer WSI with deep learning
Riddhasree Bhattacharyya, Paromita Roy, Sugata Banerji, et al.
(2024) Vol. 35, pp. 4-4
Closed Access | Times Cited: 2
Feature selection for label distribution learning under feature weight view
Shidong Lin, Chenxi Wang, Yu Mao, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 5, pp. 1827-1840
Closed Access | Times Cited: 5
Prostate Cancer Gleason Score Classification Using Transfer Learning Models
Mona Chavda, Sheshang Degadwala
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 2, pp. 450-458
Open Access | Times Cited: 1
DIEANet: an attention model for histopathological image grading of lung adenocarcinoma based on dimensional information embedding
Zexin Wang, Jing Gao, Min Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Prostate Cancer Gleason Grading: A Review on Deep Learning Approaches for Recognizing
Maulika Patel, Parag Sanghani, Niraj Shah
ITM Web of Conferences (2024) Vol. 65, pp. 03013-03013
Open Access
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 generalised vision transformer-based self-supervised model for diagnosing and grading prostate cancer using histological images
Abadh K. Chaurasia, H Harris, Patrick W Toohey, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Generalised Vision Transformer-Based Self-Supervised Model for Diagnosing and Grading Prostate Cancer Using Histological Images
Abadh K. Chaurasia, H Harris, Patrick W Toohey, et al.
(2024)
Open Access
A randomised trial probes the higher efficacy of a hybrid radioactive and fluorescent tracer approach in high-complexity sentinel node biopsy during robotic surgery of prostate cancer
Roberto C. Delgado Bolton, Adriana K. Calapaquí Terán, Javier Gómez‐Román, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2023) Vol. 50, Iss. 9, pp. 2588-2590
Open Access | Times Cited: 1
A Comprehensive Review on Deep Learning Approach for Prostate Cancer Gleason Grading
Mona Chavda, Sheshang Degadwala
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2023), pp. 270-275
Open Access
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