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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:

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Zekun Li, Wei Zhao, Feng Shi, et al.
Medical Image Analysis (2021) Vol. 69, pp. 101978-101978
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

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
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, et al.
Information Sciences (2021) Vol. 577, pp. 353-378
Closed Access | Times Cited: 76
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
Stine Hansen, Srishti Gautam, Robert Jenssen, et al.
Medical Image Analysis (2022) Vol. 78, pp. 102385-102385
Open Access | Times Cited: 66
Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review
Junaid Iqbal Khan, Jebran Khan, Furqan Ali, et al.
IEEE Access (2022) Vol. 10, pp. 62613-62660
Open Access | Times Cited: 54
Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images
Kubilay Muhammed Sünnetci, Ahmet Alkan
Expert Systems with Applications (2022) Vol. 216, pp. 119430-119430
Open Access | Times Cited: 51
Dive into the details of self-supervised learning for medical image analysis
Chuyan Zhang, Hao Zheng, Yun Gu
Medical Image Analysis (2023) Vol. 89, pp. 102879-102879
Closed Access | Times Cited: 36
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang, Euijoon Ahn, Dagan Feng, et al.
Deleted Journal (2023) Vol. 20, Iss. 4, pp. 483-513
Open Access | Times Cited: 24
Toward artificial intelligence (AI) applications in the determination of COVID-19 infection severity: considering AI as a disease control strategy in future pandemics
Mustafa Ghaderzadeh, Farkhondh Asadi, Nahid Ramezan Ghorbani, et al.
Iranian Journal of Blood and Cancer (2023) Vol. 15, Iss. 3, pp. 93-111
Open Access | Times Cited: 24
Causality-Driven Graph Neural Network for Early Diagnosis of Pancreatic Cancer in Non-Contrast Computerized Tomography
Xinyue Li, Rui Guo, Jing Lu, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 6, pp. 1656-1667
Closed Access | Times Cited: 22
Pay attention to doctor–patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis
Wenbo Zheng, Lan Yan, Chao Gou, et al.
Information Fusion (2021) Vol. 75, pp. 168-185
Open Access | Times Cited: 53
A deep-learning-based framework for severity assessment of COVID-19 with CT images
Zhidan Li, Shixuan Zhao, Yang Chen, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115616-115616
Open Access | Times Cited: 38
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning
Yanda Meng, Joshua Bridge, Cliff Addison, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102722-102722
Open Access | Times Cited: 27
Conditional Time Series Modeling for Pneumoconiosis Progression Risk Prediction with Missing Data
Xueting Ren, Zijuan Zhao, Liye Jia, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Closed Access
A self-supervised representation learning paradigm with global content perception and peritumoral context restoration for MRI breast tumor segmentation
Xianqi Meng, Hongwei Yu, Jingfan Fan, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107757-107757
Closed Access
Disease Localization and Severity Assessment in Chest X-Ray Images using Multi-Stage Superpixels Classification
Tej Bahadur Chandra, Bikesh Kumar Singh, Deepak Jain
Computer Methods and Programs in Biomedicine (2022) Vol. 222, pp. 106947-106947
Open Access | Times Cited: 21
Deep Learning Methods for Interpretation of Pulmonary CT and X-ray Images in Patients with COVID-19-Related Lung Involvement: A Systematic Review
Min-Ho Lee, Adai Shomanov, Madina Kudaibergenova, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 10, pp. 3446-3446
Open Access | Times Cited: 12
Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics
Ken Asada, Masaaki Komatsu, Ryo Shimoyama, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 9, pp. 886-886
Open Access | Times Cited: 24
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer, Xuan Xu, Joseph Bae, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 18802-18813
Open Access | Times Cited: 17
CT-based severity assessment for COVID-19 using weakly supervised non-local CNN
R. Karthik, R. Menaka, M. Hariharan, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108765-108765
Open Access | Times Cited: 16
Better pseudo-label: Joint domain-aware label and dual-classifier for semi-supervised domain generalization
Ruiqi Wang, Lei Qi, Yinghuan Shi, et al.
Pattern Recognition (2022) Vol. 133, pp. 108987-108987
Open Access | Times Cited: 14
GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status
Wei Zhao, Weidao Chen, Ge Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7324-7338
Open Access | Times Cited: 14
Attention-guided multiple instance learning for COPD identification: To combine the intensity and morphology
Yanan Wu, Shouliang Qi, Jie Feng, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 568-585
Closed Access | Times Cited: 8
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
Radiological Analysis of COVID-19 Using Computational Intelligence: A Broad Gauge Study
S. Vineth Ligi, Soumya Snigdha Kundu, R. Kumar, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-25
Open Access | Times Cited: 12
A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection
Faeze Gholamiankhah, Samaneh Mostafapour, Nouraddin Abdi Goushbolagh, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 15
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