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:

Fast and scalable search of whole-slide images via self-supervised deep learning
Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1420-1434
Open Access | Times Cited: 71

Showing 26-50 of 71 citing articles:

Domain Generalization in Computational Pathology: Survey and Guidelines
Mostafa Jahanifar, Manahil Raza, Kesi Xu, et al.
ACM Computing Surveys (2025)
Closed Access

Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy
Cheng Jiang, Xinhai Hou, Akhil Kondepudi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 322, pp. 19798-19808
Open Access | Times Cited: 10

Artificial Intelligence for Digital and Computational Pathology
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 3

Integrating spatial transcriptomics and bulk RNA-seq: predicting gene expression with enhanced resolution through graph attention networks
Sudipto Baul, Khandakar Tanvir Ahmed, Qibing Jiang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 3

Efficient quality control of whole slide pathology images with human-in-the-loop training
Abhijeet Patil, Harsh Diwakar, Jay Sawant, et al.
Journal of Pathology Informatics (2023) Vol. 14, pp. 100306-100306
Open Access | Times Cited: 7

Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images
Ziyu Su, Mostafa Rezapour, Usama Sajjad, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107607-107607
Open Access | Times Cited: 7

Sketch-based semantic retrieval of medical images
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, et al.
Medical Image Analysis (2023) Vol. 92, pp. 103060-103060
Open Access | Times Cited: 7

Automated curation of large‐scale cancer histopathology image datasets using deep learning
Lars Hilgers, Narmin Ghaffari Laleh, Nicholas P. West, et al.
Histopathology (2024) Vol. 84, Iss. 7, pp. 1139-1153
Open Access | Times Cited: 2

A Novel Deep Learning-Based Visual Search Engine in Digital Marketing for Tourism E-Commerce Platforms
Yingli Wu, Qiuyan Liu
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-27
Open Access | Times Cited: 2

Histopathology language-image representation learning for fine-grained digital pathology cross-modal retrieval
Dingyi Hu, Zhiguo Jiang, Jun Shi, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103163-103163
Closed Access | Times Cited: 2

Histopathology Slide Indexing and Search — Are We There Yet?
Helen H. Shang, Mohammad Sadegh Nasr, Jai Prakash Veerla, et al.
NEJM AI (2024) Vol. 1, Iss. 5
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

Artificial intelligence and digital pathology: where are we now and what are the implementation barriers?
Benjamin Moxley-Wyles, Richard Colling
Diagnostic histopathology (2024) Vol. 30, Iss. 11, pp. 597-603
Closed Access | Times Cited: 2

Fusion of Textural and Visual Information for Medical Image Modality Retrieval Using Deep Learning-Based Feature Engineering
Saeed Iqbal, Adnan N. Qureshi, Musaed Alhussein, et al.
IEEE Access (2023) Vol. 11, pp. 93238-93253
Open Access | Times Cited: 4

A robust model training strategy using hard negative mining in a weakly labeled dataset for lymphatic invasion in gastric cancer
Jonghyun Lee, Sangjeong Ahn, Hyun Soo Kim, et al.
The Journal of Pathology Clinical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 4

Improving Representation Learning for Histopathologic Images with Cluster Constraints
Weiyi Wu, Chongyang Gao, J R DiPalma, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 21347-21357
Open Access | Times Cited: 4

Digital pathology, deep learning, and cancer: a narrative review
Darnell K. Adrian Williams, Gillian Graifman, Nowair Hussain, et al.
Translational Cancer Research (2024) Vol. 13, Iss. 5, pp. 2544-2560
Open Access | Times Cited: 1

Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks
Qiong Wu, Jun Wang, Zongqiong Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5564-5575
Closed Access | Times Cited: 3

Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides Through Variational Autoencoder based Image Compression
Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-5
Closed Access | Times Cited: 3

Whole slide images classification model based on self-learning sampling
Zhibing Fu, Qingkui Chen, Mingming Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105826-105826
Closed Access | Times Cited: 3

Position-Aware Masked Autoencoder for Histopathology WSI Representation Learning
Kun Wu, Yushan Zheng, Jun Shi, et al.
Lecture notes in computer science (2023), pp. 714-724
Closed Access | Times Cited: 2

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