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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:

Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential
Michael Gadermayr, Maximilian Tschuchnig
Computerized Medical Imaging and Graphics (2024) Vol. 112, pp. 102337-102337
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Vision Transformers for Computational Histopathology
Hongming Xu, Qi Xu, Fengyu Cong, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 63-79
Closed Access | Times Cited: 41
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
James M. Dolezal, Sara Kochanny, Emma Dyer, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 25
Exploring Multiple Instance Learning (MIL): A brief survey
Muhammad Waqas, Syed Umaid Ahmed, Muhammad Atif Tahir, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123893-123893
Closed Access | Times Cited: 11
Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis
Jiawen Li, Yuxuan Chen, Hongbo Chu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 11323-11332
Closed Access | Times Cited: 8
Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network
Rukundo Prince, Zhendong Niu, Zahid Khan, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109659-109659
Closed Access | Times Cited: 1
A comprehensive evaluation of histopathology foundation models for ovarian cancer subtype classification
Jack Breen, Katrina J. Allen, Kieran Zucker, et al.
npj Precision Oncology (2025) Vol. 9, Iss. 1
Open Access | Times Cited: 1
DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis
Yu Zhao, Bing He, Fan Xu, et al.
Science Advances (2023) Vol. 9, Iss. 32
Open Access | Times Cited: 18
Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network
Vasundhara Acharya, Diana Choi, Bülent Yener, et al.
IEEE Access (2024) Vol. 12, pp. 17164-17194
Open Access | Times Cited: 5
Entity-level multiple instance leanring for mesoscopic histopathology images classification with Bayesian collaborative learning and pathological prior transfer
Qiming He, Yingming Xu, Qiang Huang, et al.
Computerized Medical Imaging and Graphics (2025), pp. 102495-102495
Closed Access
Benchmarking histopathology foundation models for ovarian cancer bevacizumab treatment response prediction from whole slide images
Mayur Mallya, Ali Khajegili Mirabadi, David Farnell, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology
Yuchen Zhang, Zeyu Gao, Kai He, et al.
Information Fusion (2025), pp. 103027-103027
Closed Access
Multiple Differential Convolution and Local-Variation Attention UNet: Nucleus Semantic Segmentation Based on Multiple Differential Convolution and Local-Variation Attention
Xiaoming Sun, Shilin Li, Yongji Chen, et al.
Electronics (2025) Vol. 14, Iss. 6, pp. 1058-1058
Open Access
Tissue Contamination Challenges the Credibility of Machine Learning Models in Real World Digital Pathology
Ismail Irmakci, Ramin Nateghi, Rujoi Zhou, et al.
Modern Pathology (2024) Vol. 37, Iss. 3, pp. 100422-100422
Open Access | Times Cited: 4
Simpseudo: Enhancing Whole Slide Imaging Classification with Similarity and Prototype-Based Example-Level Pseudo-Supervision
Yu Hong, Yujie Diao, Xueyang Liu, et al.
(2025)
Closed Access
Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombus
Jeffrey A. Goldstein, Ramin Nateghi, Ismail Irmakci, et al.
Placenta (2023) Vol. 135, pp. 43-50
Open Access | Times Cited: 10
Multiple-instance learning of somatic mutations for the classification of tumour type and the prediction of microsatellite status
Jordan Anaya, John-William Sidhom, Faisal Mahmood, et al.
Nature Biomedical Engineering (2023) Vol. 8, Iss. 1, pp. 57-67
Open Access | Times Cited: 9
A Survey on Convolutional Neural Networks and Their Performance Limitations in Image Recognition Tasks
Gabriela Rangel, Juan C. Cuevas‐Tello, Jose Nunez-Varela, et al.
Journal of Sensors (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 3
Multiple Instance Learning in Medical Images: A Systematic Review
Dalila Barbosa, Marcos Melo Ferreira, Geraldo Bráz, et al.
IEEE Access (2024) Vol. 12, pp. 78409-78422
Open Access | Times Cited: 2
Counterfactual Diffusion Models for Mechanistic Explainability of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Models for the marrow: A comprehensive review of AI‐based cell classification methods and malignancy detection in bone marrow aspirate smears
Tabita Ghete, Farina Kock, Martina Pontones, et al.
HemaSphere (2024) Vol. 8, Iss. 12
Open Access | Times Cited: 2
Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks
Victor Ibañez, Przemysław Szostak, Quincy Wong, et al.
(2024), pp. 1-4
Open Access | Times Cited: 1
Whole slide image-based weakly supervised deep learning for predicting major pathological response in non-small cell lung cancer following neoadjuvant chemoimmunotherapy: a multicenter, retrospective, cohort study
Dan Han, Hao Li, Xin Zheng, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
Dual attention model with reinforcement learning for classification of histology whole-slide images
Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 118, pp. 102466-102466
Open Access | Times Cited: 1
AI-Enhanced Subtyping of Thymic Tumors: Attention-based MIL with Pathology-Specific feature extraction
Haitham Kussaibi
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Transfer learning may explain pigeons' ability to detect cancer in histopathology
Oz Kilim, János Báskay, András Biricz, et al.
Bioinspiration & Biomimetics (2024) Vol. 19, Iss. 5, pp. 056016-056016
Open Access
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