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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:

Benchmarking saliency methods for chest X-ray interpretation
Adriel Saporta, Xiaotong Gui, Ashwin Agrawal, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 10, pp. 867-878
Open Access | Times Cited: 108

Showing 26-50 of 108 citing articles:

Explainable Deep Learning Approach for Multi-Class Brain Magnetic Resonance Imaging Tumor Classification and Localization Using Gradient-Weighted Class Activation Mapping
Tahir Hussain, Hayaru Shouno
Information (2023) Vol. 14, Iss. 12, pp. 642-642
Open Access | Times Cited: 15
Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists
Yifan Zheng, Brigid Rowell, Qiyuan Chen, et al.
JMIR Formative Research (2023) Vol. 7, pp. e51921-e51921
Open Access | Times Cited: 14
Artificial intelligence and machine learning for cardiovascular computed tomography (CCT): A white paper of the society of cardiovascular computed tomography (SCCT)
Michelle C. Williams, Jonathan Weir‐McCall, Lauren A. Baldassarre, et al.
Journal of cardiovascular computed tomography (2024) Vol. 18, Iss. 6, pp. 519-532
Open Access | Times Cited: 5
Leveraging anatomical constraints with uncertainty for pneumothorax segmentation
Han Yuan, Chuan Hong, Nguyen Tuan Anh Tran, et al.
Health care science (2024) Vol. 3, Iss. 6, pp. 456-474
Open Access | Times Cited: 5
Neural Networks for Classification and Image Generation of Aging in Genetic Syndromes
Dat Duong, Ping Hu, Cedrik Tekendo‐Ngongang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 20
Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states
Jackson Nyman, Thomas Denize, Ziad Bakouny, et al.
Cell Reports Medicine (2023) Vol. 4, Iss. 9, pp. 101189-101189
Open Access | Times Cited: 13
Multi-pose-based convolutional neural network model for diagnosis of patients with central lumbar spinal stenosis
Seyeon Park, Junhoe Kim, Youngbin Ahn, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network
Sohaib Asif, Q Ul Ain, Raeed Al-Sabri, et al.
Journal of Computational Science (2024) Vol. 80, pp. 102324-102324
Closed Access | Times Cited: 4
Reporting radiographers’ interaction with Artificial Intelligence—How do different forms of AI feedback impact trust and decision switching?
Clare Rainey, Raymond Bond, Jonathan McConnell, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 8, pp. e0000560-e0000560
Open Access | Times Cited: 4
Challenges for augmenting intelligence in cardiac imaging
Partho P. Sengupta, Damini Dey, Rhodri Davies, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 10, pp. e739-e748
Open Access | Times Cited: 4
DWARF: Disease-Weighted Network for Attention Map Refinement
Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, et al.
Lecture notes in computer science (2025), pp. 59-68
Closed Access
From Pixel Scores to Clinical Impacts: The Implicit Choices in FROC Metric Design and Their Consequences
Minjeong Kim, Hesham Dar, Sanguk Park, et al.
Lecture notes in computer science (2025), pp. 11-20
Closed Access
A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings
Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Axnet: Attention-Enhanced X-Ray Network for Pneumonia Detection
Mojtaba Jahanian, Abbas Karimi, Nafiseh Osati Eraghi, et al.
(2025)
Closed Access
Interpretable Deep Learning for Pediatric Pneumonia Diagnosis Through Multi-Phase Feature Learning and Activation Patterns
Petra Radočaj, Goran Martinović
Electronics (2025) Vol. 14, Iss. 9, pp. 1899-1899
Open Access
Grad-CAM: The impact of large receptive fields and other caveats
Rui Peres dos Santos, João Pedrosa, Ana Maria Mendonça, et al.
Computer Vision and Image Understanding (2025), pp. 104383-104383
Closed Access
The impact of AI feedback on the accuracy of diagnosis, decision switching and trust in radiography
Clare Rainey, Raymond Bond, James R. McConnell, et al.
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0322051-e0322051
Open Access
An Explainable Deep – Learning based Multi-Label Image Classification for Chest X-Rays
Maya Thapa, Ravreet Kaur
Procedia Computer Science (2025) Vol. 258, pp. 2425-2434
Open Access
Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN’s Learned Features
Kyle Hasenstab, Justin Huynh, Samira Masoudi, et al.
IEEE Access (2023) Vol. 11, pp. 5144-5160
Open Access | Times Cited: 9
Hybrid Classical–Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays
Pierre Decoodt, Tan Jun Liang, Soham Bopardikar, et al.
Journal of Imaging (2023) Vol. 9, Iss. 7, pp. 128-128
Open Access | Times Cited: 9
Explainable AI (XAI) in image segmentation in medicine, industry, and beyond: A survey
Rokas Gipiškis, Chun-Wei Tsai, Olga Kurasova
ICT Express (2024)
Open Access | Times Cited: 3
Explainable-AI in Automated Medical Report Generation Using Chest X-ray Images
Saad Bin Ahmed, Roberto Solis-Oba, Lucian Ilie
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11750-11750
Open Access | Times Cited: 13
Comparison of clinical geneticist and computer visual attention in assessing genetic conditions
Dat Duong, Anna Rose Johny, Suzanna Ledgister Hanchard, et al.
PLoS Genetics (2024) Vol. 20, Iss. 2, pp. e1011168-e1011168
Open Access | Times Cited: 2
Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images
Okyaz Eminağa, Fred Saad, Zhe Tian, et al.
npj Imaging (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 2
Sex estimation from maxillofacial radiographs using a deep learning approach
Hiroki HASE, Yuichi Mine, Shota Okazaki, et al.
Dental Materials Journal (2024) Vol. 43, Iss. 3, pp. 394-399
Open Access | Times Cited: 2

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