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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:

Deep learning in digital pathology image analysis: a survey
Shujian Deng, Xin Zhang, Yan Wen, et al.
Frontiers of Medicine (2020) Vol. 14, Iss. 4, pp. 470-487
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

Hierarchical graph representations in digital pathology
Pushpak Pati, Guillaume Jaume, Antonio Foncubierta–Rodríguez, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102264-102264
Open Access | Times Cited: 110
Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review
Can Cui, Haichun Yang, Yaohong Wang, et al.
Progress in Biomedical Engineering (2023) Vol. 5, Iss. 2, pp. 022001-022001
Open Access | Times Cited: 85
Scaling Self-Supervised Learning for Histopathology with Masked Image Modeling
Alexandre Filiot, Ridouane Ghermi, Antoine Olivier, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 63
A foundation model for clinical-grade computational pathology and rare cancers detection
Eugene Vorontsov, Alican Bozkurt, Adam Casson, et al.
Nature Medicine (2024) Vol. 30, Iss. 10, pp. 2924-2935
Open Access | Times Cited: 61
Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach
Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque, et al.
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 39-39
Open Access | Times Cited: 78
A survey on graph-based deep learning for computational histopathology
David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 95, pp. 102027-102027
Open Access | Times Cited: 77
Deep Neural Architectures for Medical Image Semantic Segmentation: Review
Muhammad Zubair Khan, Mohan Kumar Gajendran, Yugyung Lee, et al.
IEEE Access (2021) Vol. 9, pp. 83002-83024
Open Access | Times Cited: 74
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels
Chu Han, Jiatai Lin, Jinhai Mai, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102487-102487
Open Access | Times Cited: 67
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models
Jialin Peng, Ye Wang
IEEE Access (2021) Vol. 9, pp. 36827-36851
Open Access | Times Cited: 60
Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer
Shahira Abousamra, Rajarsi Gupta, Le Hou, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 54
DDTNet: A dense dual-task network for tumor-infiltrating lymphocyte detection and segmentation in histopathological images of breast cancer
Xiaoxuan Zhang, Xiongfeng Zhu, Kai Tang, et al.
Medical Image Analysis (2022) Vol. 78, pp. 102415-102415
Closed Access | Times Cited: 40
Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review
Xue Yang, Kexin Huang, Dewei Yang, et al.
Global Challenges (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 27
Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey
Khaled Al-Thelaya, Nauman Ullah Gilal, Mahmood Alzubaidi, et al.
Journal of Pathology Informatics (2023) Vol. 14, pp. 100335-100335
Open Access | Times Cited: 25
An indeterminacy fusion of encoder-decoder network based on neutrosophic set for white blood cells segmentation
Yanhui Guo, Ahmed I. Shahin, Harish Garg
Expert Systems with Applications (2024) Vol. 246, pp. 123156-123156
Open Access | Times Cited: 10
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
Sein Kim, Namkyeong Lee, Junseok Lee, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 5141-5150
Open Access | Times Cited: 20
Evolutionary design of explainable algorithms for biomedical image segmentation
Kévin Cortacero, Brienne McKenzie, Sabina Müller, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Current status and prospects of artificial intelligence in breast cancer pathology: convolutional neural networks to prospective Vision Transformers
Ayaka Katayama, Yuki Aoki, Yukako Watanabe, et al.
International Journal of Clinical Oncology (2024) Vol. 29, Iss. 11, pp. 1648-1668
Closed Access | Times Cited: 7
AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features
Pan Huang, Xiaoheng Tan, Chen Chen, et al.
Sensors (2020) Vol. 21, Iss. 1, pp. 122-122
Open Access | Times Cited: 43
Colon Tissues Classification and Localization in Whole Slide Images Using Deep Learning
Pushpanjali Gupta, Yenlin Huang, Prasan Kumar Sahoo, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1398-1398
Open Access | Times Cited: 36
Software tools and platforms in Digital Pathology: a review for clinicians and computer scientists
Rodrigo Escobar Díaz Guerrero, Lina Carvalho, Thomas Bocklitz, et al.
Journal of Pathology Informatics (2022) Vol. 13, pp. 100103-100103
Open Access | Times Cited: 27
Deep Learning in Diverse Intelligent Sensor Based Systems
Yanming Zhu, Min Wang, Xuefei Yin, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 62-62
Open Access | Times Cited: 27
Attention-Based Deep Learning Approach for Breast Cancer Histopathological Image Multi-Classification
Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1402-1402
Open Access | Times Cited: 5
A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis
Shiv Gehlot, Anubha Gupta, Ritu Gupta
Medical Image Analysis (2021) Vol. 72, pp. 102099-102099
Closed Access | Times Cited: 30
Deep learning for survival analysis in breast cancer with whole slide image data
Huidong Liu, Tahsin Kurç
Bioinformatics (2022) Vol. 38, Iss. 14, pp. 3629-3637
Open Access | Times Cited: 19
DETisSeg: A dual-encoder network for tissue semantic segmentation of histopathology image
Penghui He, Aiping Qu, Shuomin Xiao, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105544-105544
Closed Access | Times Cited: 13
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