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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:

Learning disentangled representations in the imaging domain
Xiao Liu, Pedro Sanchez, Spyridon Thermos, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102516-102516
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Causal machine learning for healthcare and precision medicine
Pedro Sanchez, Jeremy P. Voisey, Tian Xia, et al.
Royal Society Open Science (2022) Vol. 9, Iss. 8
Open Access | Times Cited: 90
Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling
Hu Wang, Yuanhong Chen, Congbo Ma, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 15878-15887
Open Access | Times Cited: 45
Disentangled Representation Learning
Xin Wang, Hong Chen, Si'ao Tang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9677-9696
Open Access | Times Cited: 16
A survey of recent methods for addressing AI fairness and bias in biomedicine
Yifan Yang, Mingquan Lin, Han Zhao, et al.
Journal of Biomedical Informatics (2024) Vol. 154, pp. 104646-104646
Open Access | Times Cited: 10
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation
P.M. Schütte, Valentina Corbetta, Regina G. H. Beets‐Tan, et al.
Lecture notes in computer science (2025), pp. 246-255
Closed Access
Domain shift, domain adaptation, and generalization
Jonas Richiardi, Veronica Ravano, Nataliia Molchanova, et al.
Elsevier eBooks (2025), pp. 127-151
Closed Access
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
Costin Ciusdel, Alex Serban, Tiziano Passerini
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1415-1415
Open Access
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
Sharib Ali
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 27
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI
Benjamin Billot, Neel Dey, Daniel Moyer, et al.
IEEE Transactions on Medical Imaging (2024), pp. 1-1
Closed Access | Times Cited: 4
Toward Informative Representations of Blood‐Based Infrared Spectra via Unsupervised Deep Learning
Corinna Wegner, Zita I. Zarandy, Nico Feiler, et al.
Journal of Biophotonics (2025)
Open Access
Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey
Ikram Eddahmani, Chi-Hieu Pham, Thibault Napoléon, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2362-2362
Open Access | Times Cited: 11
SketchTrans: Disentangled Prototype Learning With Transformer for Sketch-Photo Recognition
Cuiqun Chen, Mang Ye, Meibin Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 5, pp. 2950-2964
Closed Access | Times Cited: 11
DRAVA: Aligning Human Concepts with Machine Learning Latent Dimensions for the Visual Exploration of Small Multiples
Qianwen Wang, Sehi L’Yi, Nils Gehlenborg
(2023), pp. 1-15
Open Access | Times Cited: 9
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps
Min Shi, Yu Tian, Yan Luo, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103110-103110
Closed Access | Times Cited: 3
Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning
Giuseppe Pontillo, Ferrán Prados, Jordan Colman, et al.
Neurology (2024) Vol. 103, Iss. 10
Closed Access | Times Cited: 3
Self-Supervised Learning for the Distinction between Computer-Graphics Images and Natural Images
Kai Wang
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1887-1887
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
Compositionally Equivariant Representation Learning
Xiao Liu, Pedro Sanchez, Spyridon Thermos, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 6, pp. 2169-2179
Open Access | Times Cited: 2
CycleSGAN: A cycle-consistent and semantics-preserving generative adversarial network for unpaired MR-to-CT image synthesis
Runze Wang, Alexander F. Heimann, Moritz Tannast, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 117, pp. 102431-102431
Closed Access | Times Cited: 2
MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall
Jacopo Grazioli, Gionata Ghiggi, Anne-Claire Billault–Roux, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 10
Review of Disentanglement Approaches for Medical Applications: Towards Solving the Gordian Knot of Generative Models in Healthcare
Jana Fragemann, Lynton Ardizzone, Jan Egger, et al.
(2022)
Open Access | Times Cited: 8
Vessel Segmentation in Fundus Images with Multi-Scale Feature Extraction and Disentangled Representation
Yuanhong Zhong, Ting Chen, Daidi Zhong, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5039-5039
Open Access | Times Cited: 1
Generative Adversarial Networks for SAR Automatic Target Recognition and Classification Models Enhanced Explainability: Perspectives and Challenges
Héloïse Remusati, Jean‐Marc Le Caillec, Jean-Yves Schneider, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2569-2569
Open Access | Times Cited: 1
Research on Image Processing Technology Based on Artificial Intelligence and Visual Algorithms
Shihong Bi
(2024), pp. 1-4
Closed Access | Times Cited: 1
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images
Huili Zhang, Le‐Hang Guo, Juncheng Li, et al.
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103855-103855
Closed Access | Times Cited: 1
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