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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:

Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning
Fan Yang, Zhi‐Ri Tang, Jing Chen, et al.
BMC Medical Imaging (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review
Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 831-864
Open Access | Times Cited: 54
AI-based radiodiagnosis using chest X-rays: A review
Yasmeena Akhter, Richa Singh, Mayank Vatsa
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 23
Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
Liton Devnath, Suhuai Luo, Peter Summons, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 18, pp. 5342-5342
Open Access | Times Cited: 35
An Analysis of Deep Transfer Learning-Based Approaches for Prediction and Prognosis of Multiple Respiratory Diseases Using Pulmonary Images
Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1023-1049
Closed Access | Times Cited: 17
Pneumonia detection based on RSNA dataset and anchor-free deep learning detector
Linghua Wu, Jing Zhang, Yilin Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Recent Advances of Artificial Intelligence Applications in Interstitial Lung Diseases
Konstantinos Exarchos, Georgia Gkrepi, Κonstantinos Κostikas, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2303-2303
Open Access | Times Cited: 15
Identification of high-risk population of pneumoconiosis using deep learning segmentation of lung 3D images and radiomics texture analysis
Yafeng Liu, Jing Wu, Jiawei Zhou, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 244, pp. 108006-108006
Closed Access | Times Cited: 5
Research progress on the pathogenesis and prediction of pneumoconiosis among coal miners
Wenlu Hang, Chunlu Bu, Yuming Cui, et al.
Environmental Geochemistry and Health (2024) Vol. 46, Iss. 9
Closed Access | Times Cited: 4
The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research
Sweet Naskar, Suraj Sharma, Ketousetuo Kuotsu, et al.
Journal of drug targeting (2025), pp. 1-85
Closed Access
Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers’ pneumoconiosis
Hantian Dong, Biaokai Zhu, Xiaomei Kong, et al.
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open Access
Use data augmentation for a deep learning classification model with chest X-ray clinical imaging featuring coal workers' pneumoconiosis
Hantian Dong, Biaokai Zhu, Xinri Zhang, et al.
BMC Pulmonary Medicine (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 21
Explainability of CNN Classification Models Using CycleGAN and Their Application to Medical Imaging
Taiga Nakajima, Yoshua Kazukuni Nomura, Narufumi Suganuma, et al.
Communications in computer and information science (2025), pp. 210-221
Closed Access
Artificial intelligence for computer aided detection of pneumoconiosis: A succinct review since 1974
Faisel Mushtaq, S.K. Bhattacharjee, Sandeep Mandia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108516-108516
Closed Access | Times Cited: 3
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images
Md. Shariful Alam, Dadong Wang, Arcot Sowmya
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102917-102917
Open Access | Times Cited: 3
The role of pathologists in the diagnosis of occupational lung diseases: an expert opinion of the European Society of Pathology Pulmonary Pathology Working Group
Fiorella Calabrese, M. Angeles Montero-Fernandez, Izidor Kern, et al.
Virchows Archiv (2024) Vol. 485, Iss. 2, pp. 173-195
Open Access | Times Cited: 3
Automated identification of the preclinical stage of coal workers' pneumoconiosis from digital chest radiography using three-stage cascaded deep learning model
Yan Wang, Fengtao Cui, Xinping Ding, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104607-104607
Closed Access | Times Cited: 7
A Systematic Review of Artificial Intelligence Applications in the Management of Lung Disorders
Akbar Hussain, Stanley Marlowe, Muhammad Shaiq Ali, et al.
Cureus (2024)
Open Access | Times Cited: 2
Efficient clinical data analysis for prediction of coal workers' pneumoconiosis using machine learning algorithms
Hantian Dong, Biaokai Zhu, Xiaomei Kong, et al.
The Clinical Respiratory Journal (2023) Vol. 17, Iss. 7, pp. 684-693
Open Access | Times Cited: 5
An X-ray image classification method with fine-grained features for explainable diagnosis of pneumoconiosis
Chunmei Zhang, Jia He, Lin Shang
Personal and Ubiquitous Computing (2023) Vol. 28, Iss. 2, pp. 403-415
Closed Access | Times Cited: 4
[A survey on the application of convolutional neural networks in the diagnosis of occupational pneumoconiosis].
Yu Wang, Jiang Wu, Dongsheng Wu
PubMed (2024) Vol. 41, Iss. 2, pp. 413-420
Closed Access | Times Cited: 1
DLA-Net: dual lesion attention network for classification of pneumoconiosis using chest X-ray images
Md. Shariful Alam, Dadong Wang, Arcot Sowmya
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Deep Learning Models of Multi-Scale Lesion Perception Attention Networks for Diagnosis and Staging of Pneumoconiosis: A Comparative Study with Radiologists
Yi Wang, Wanying Yan, Yibo Feng, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1
Potential of digital chest radiography-based deep learning in screening and diagnosing pneumoconiosis: An observational study
Y S Zhang, Bowen Zheng, Fengxia Zeng, et al.
Medicine (2024) Vol. 103, Iss. 25, pp. e38478-e38478
Open Access | Times Cited: 1
Deep learning pneumoconiosis staging and diagnosis system based on multi-stage joint approach
Chang Liu, Yeqi Fang, YuHuan Xie, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Evaluation of Therapeutic Effects of Computed Tomography Imaging Classification Algorithm-Based Transcatheter Arterial Chemoembolization on Primary Hepatocellular Carcinoma
Qiang Li, Guang Luo, Jian Li
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 5
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