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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:

Study on transfer learning capabilities for pneumonia classification in chest-x-rays images
Danilo Avola, Andrea Bacciu, Luigi Cinque, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106833-106833
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Sunil Kumar, Harish Kumar, Gyanendra Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 19
IEViT: An enhanced vision transformer architecture for chest X-ray image classification
Gabriel Iluebe Okolo, Stamos Katsigiannis, Naeem Ramzan
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107141-107141
Open Access | Times Cited: 49
IoMT with Deep CNN: AI-Based Intelligent Support System for Pandemic Diseases
Sujithra Thandapani, M. Mohamed Iqbal, Celestine Iwendi, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 424-424
Open Access | Times Cited: 28
Explainable deep learning diagnostic system for prediction of lung disease from medical images
Nussair Adel Hroub, Ali Nader Alsannaa, Maad Alowaifeer, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108012-108012
Closed Access | Times Cited: 8
SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study
Laith Alzubaidi, Mohammed A. Fadhel, Freek Hollman, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 8
Development and clinical evaluation of an AI-assisted respiratory state classification system for chest X-rays: A BMI-Specific approach
Takeshi Takaki, Ryo Matsuoka, Yuki Fujita, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109854-109854
Closed Access
SAGCN: Self-adaptive Graph Convolutional Network for pneumonia detection
Junding Sun, J P Xue, Zhaozhao Xu, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107634-107634
Closed Access
Screening Lung Diseases Using Cascaded Feature Generation and Selection Strategies
Jawad Rasheed, Raed M. Shubair
Healthcare (2022) Vol. 10, Iss. 7, pp. 1313-1313
Open Access | Times Cited: 23
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans
Pulkit Sharma, Rhythm Arya, Richa Verma, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 28521-28545
Open Access | Times Cited: 15
MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms
Danilo Avola, Irene Cannistraci, Marco Cascio, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 245, pp. 108037-108037
Open Access | Times Cited: 4
Chest X-ray image classification using transfer learning and hyperparameter customization for lung disease diagnosis
Thanh-an Pham, Van-Dung Hoang
Journal of Information and Telecommunication (2024) Vol. 8, Iss. 4, pp. 587-601
Open Access | Times Cited: 4
Real-time deep learning method for automated detection and localization of structural defects in manufactured products
Danilo Avola, Marco Cascio, Luigi Cinque, et al.
Computers & Industrial Engineering (2022) Vol. 172, pp. 108512-108512
Closed Access | Times Cited: 19
COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features
Sadiq Alinsaif
Computation (2024) Vol. 12, Iss. 4, pp. 66-66
Open Access | Times Cited: 3
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
Deep Learning for Pneumonia Detection in Chest X-ray Images: A Comprehensive Survey
Raheel Siddiqi, Sameena Javaid
Journal of Imaging (2024) Vol. 10, Iss. 8, pp. 176-176
Open Access | Times Cited: 3
A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module
Yiwen Liu, Wenyu Xing, Mingbo Zhao, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 17187-17199
Open Access | Times Cited: 7
Comparison Analysis of CXR Images in Detecting Pneumonia Using VGG16 and ResNet50 Convolution Neural Network Model
Nur Izdihar, Syarifah Bahiyah Rahayu, K. Venkatesan
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 326-326
Open Access | Times Cited: 2
Testing the performance, adequacy, and applicability of an artificial intelligence model for pediatric pneumonia diagnosis
Sara Domínguez‐Rodríguez, Helena Liz-López, Ángel Panizo-LLedot, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 242, pp. 107765-107765
Closed Access | Times Cited: 3
Signal enhancement and efficient DTW-based comparison for wearable gait recognition
Danilo Avola, Luigi Cinque, Maria De Marsico, et al.
Computers & Security (2023) Vol. 137, pp. 103643-103643
Open Access | Times Cited: 3
Writer Identification in Historical Handwritten Documents: A Latin Dataset and a Benchmark
Alessio Fagioli, Danilo Avola, Luigi Cinque, et al.
Lecture notes in computer science (2024), pp. 465-476
Closed Access
COVID-19 and its early Diagnosis: A Systematic Literature Review of SOTA Machine Learning Approaches
Sophia Kärger, Marco Klaiber, Felix Gerschner, et al.
Procedia Computer Science (2024) Vol. 246, pp. 2012-2021
Open Access
A Comparative Assessment of Transfer Learning Approaches in Pneumonia Detection
Ketan Kumar, Subarna Shakya
Lecture notes in networks and systems (2024), pp. 329-337
Closed Access
A New Classification Method for Diagnosing COVID-19 Pneumonia via Joint Parallel Deformable MLP Modules and Bi-LSTM With Multi-Source Generated Data of CXR Images
Yiwen Liu, Wenyu Xing, Mingquan Lin, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 2794-2805
Closed Access
Optimizing Pneumonia Diagnosis Using RCGAN-CTL: A Strategy for Small or Limited Imaging Datasets
Ke Han, Shuai He, Yue Yu
Processes (2024) Vol. 12, Iss. 3, pp. 548-548
Open Access
An Evaluation of CNN's Performance in Deep Learning for Pneumonia Diagnosis
Prateek Singh, Sudhakar Singh
Research Square (Research Square) (2024)
Closed Access
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