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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:

Data-driven color augmentation for H&E stained images in computational pathology
Niccolò Marini, Sebastian Otálora, Marek Wodziński, et al.
Journal of Pathology Informatics (2023) Vol. 14, pp. 100183-100183
Open Access | Times Cited: 24

Showing 24 citing articles:

All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
Silvia Seoni, Alen Shahini, Kristen M. Meiburger, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 250, pp. 108200-108200
Open Access | Times Cited: 14
A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Tauhidul Islam, Md. Sadman Hafiz, Jamin Rahman Jim, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100340-100340
Open Access | Times Cited: 12
A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer
Jose Manuel Marron-Esquivel, Lourdes Durán-López, A. Linares-Barranco, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106856-106856
Open Access | Times Cited: 18
Deep Learning Aided Neuroimaging and Brain Regulation
Mengze Xu, Yuanyuan Ouyang, Zhen Yuan
Sensors (2023) Vol. 23, Iss. 11, pp. 4993-4993
Open Access | Times Cited: 15
DeepDOF-SE: affordable deep-learning microscopy platform for slide-free histology
Lingbo Jin, Yubo Tang, Jackson B. Coole, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
A Fully-Automated Senescence Test (FAST) for the high-throughput quantification of senescence-associated markers
Francesco Neri, Selma N. Takajjart, Chad A. Lerner, et al.
GeroScience (2024) Vol. 46, Iss. 5, pp. 4185-4202
Open Access | Times Cited: 3
Possible benefits, challenges, pitfalls, and future perspective of using ChatGPT in pathology
Durre Aden, Sufian Zaheer, Sabina Khan
Revista Española de Patología (2024) Vol. 57, Iss. 3, pp. 198-210
Open Access | Times Cited: 3
Registered multi-device/staining histology image dataset for domain-agnostic machine learning models
Mieko Ochi, Daisuke Komura, Takumi Onoyama, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Advancements in computer vision and pathology: Unraveling the potential of artificial intelligence for precision diagnosis and beyond
Justin Chang, Bryce Hatfield
Advances in cancer research (2024), pp. 431-478
Closed Access | Times Cited: 2
AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump
Dieter P. Hoyer, Saskia Ting, Nina A. Rogacka, et al.
Journal of Pathology Informatics (2023) Vol. 15, pp. 100345-100345
Open Access | Times Cited: 5
Evaluating Cellularity Estimation Methods: Comparing AI Counting with Pathologists’ Visual Estimates
Tomoharu Kiyuna, Eric Cosatto, Kanako C. Hatanaka, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1115-1115
Open Access | Times Cited: 1
Artifact Augmentation for Enhanced Tissue Detection in Microscope Scanner Systems
Dániel Küttel, László Kovács, Ákos Szölgyén, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9243-9243
Open Access | Times Cited: 2
Self-supervised learning to predict intrahepatic cholangiocarcinoma transcriptomic classes on routine histology
Aurélie Beaufrère, Tristan Lazard, Rémy Nicolle, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Towards interactive AI-authoring with prototypical few-shot classifiers in histopathology
Petr Kuritcyn, Rosalie Kletzander, Sophia Eisenberg, et al.
Journal of Pathology Informatics (2024) Vol. 15, pp. 100388-100388
Open Access
Automatic cancer nuclei segmentation on histological images: comparison study of deep learning methods
М. Т. Габдуллин, Assel Mukasheva, Dina Koishiyeva, et al.
Biotechnology and Bioprocess Engineering (2024)
Closed Access
ULViT-GAN: Advancing Stain Transfer in H&E and IHC Pathology Images with a UNet-like Vision-Transformer GAN
Jiangtao Hu, Guoxin Sun, Yuehua Liu, et al.
(2024), pp. 524-528
Closed Access
Deep Learning in Leaf Disease Detection (2014–2024): A Visualization-Based Bibliometric Analysis
Jyotismita Chaki, Dibyajyoti Ghosh
IEEE Access (2024) Vol. 12, pp. 95291-95308
Open Access
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning
Niccolò Marini, Stefano Marchesin, Marek Wodziński, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103303-103303
Open Access
Leveraging immuno-fluorescence data to reduce pathologist annotation requirements in lung tumor segmentation using deep learning
Hatef Mehrabian, Jens Brodbeck, Peipei Lyu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Classification of breast cancer histopathology images using a modified supervised contrastive learning method
Matina Mahdizadeh Sani, Ali Royat, Mahdieh Soleymani Baghshah
Medical & Biological Engineering & Computing (2024)
Closed Access
Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep Learning
Ryan Fogarty, Dmitry B. Goldgof, Lawrence Hall, et al.
Cancers (2023) Vol. 15, Iss. 8, pp. 2335-2335
Open Access | Times Cited: 1
Evaluation of a New Mordant Based Haematoxylin Dye (Haematoxylin X) for Use in Clinical Pathology
Jeyrroy Gabriel, Cosimo D’Amico, U. Kosgodage, et al.
British Journal of Biomedical Science (2023) Vol. 80
Open Access | Times Cited: 1
A Fully-Automated Senescence Test (FAST) for the high-throughput quantification of senescence-associated markers
Francesco Neri, Selma N. Takajjart, Chad A. Lerner, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Deep-learning-based interpretability and the ExaMode project in histopathology image analysis
Henning Müller, Manfredo Atzori
Trillium Pathology (2023), pp. 24-26
Closed Access
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