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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:

Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation
Rutwik Gulakala, Bernd Markert, Marcus Stoffel
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107262-107262
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8
Modified Histogram Equalization for Improved CNN Medical Image Segmentation
Shoffan Saifullah, Rafał Dreżewski
Procedia Computer Science (2023) Vol. 225, pp. 3021-3030
Open Access | Times Cited: 17
Generative adversarial network based synthetic data training model for lightweight convolutional neural networks
Ishfaq Hussain Rather, Sushil Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 6249-6271
Open Access | Times Cited: 15
Synthesizing Realistic Images for Improved Early Detection of Novel Pandemics: A GAN Enabled Approach
Sumera Rounaq, Shahid Munir Shah, Mahmoud Aljawarneh, et al.
Heliyon (2025), pp. e42711-e42711
Open Access
Enhanced Medical Image Segmentation using CNN based on Histogram Equalization
Shoffan Saifullah, Rafał Dreżewski
(2023)
Closed Access | Times Cited: 13
On the Adoption of Modern Technologies to Fight the COVID-19 Pandemic: A Technical Synthesis of Latest Developments
Abdul Majeed, Xiaohan Zhang
COVID (2023) Vol. 3, Iss. 1, pp. 90-123
Open Access | Times Cited: 12
Spiking recurrent neural networks for neuromorphic computing in nonlinear structural mechanics
Saurabh Balkrishna Tandale, Marcus Stoffel
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 412, pp. 116095-116095
Closed Access | Times Cited: 12
Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey
Amna Kosar, Muhammad Asif, Maaz Bin Ahmad, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102858-102858
Closed Access | Times Cited: 4
An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties
Ali K. Shargh, Niaz Abdolrahim
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 10
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
Denoiser and Fuzzy Image Transformation Based Approach to Remove Adversarial Noise for Reliable Deep Diagnosis of CT images
Sheikh Burhan Ul Haque
Applied Soft Computing (2024) Vol. 163, pp. 111909-111909
Closed Access | Times Cited: 2
X-RCRNet: An explainable deep-learning network for COVID-19 detection using ECG beat signals
Marc Junior Nkengue, Xianyi Zeng, Ludovic Koehl, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105424-105424
Open Access | Times Cited: 6
Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling
Guang Li, Ren Togo, Takahiro Ogawa, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106877-106877
Open Access | Times Cited: 5
Dual-stream EfficientNet with adversarial sample augmentation for COVID-19 computer aided diagnosis
Weijie Xu, Lina Nie, Beijing Chen, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107451-107451
Closed Access | Times Cited: 5
Classification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) Method
Ramacos Fardela, Dian Milvita, Mawanda Almuhayar, et al.
Journal of Computer Science (2024) Vol. 20, Iss. 4, pp. 357-364
Open Access | Times Cited: 1
Klasifikasi Penyakit Paru-Paru Berdasarkan Peningkatan Kualitas Kontras dan EfficientNet Menggunakan Gambar X-Ray
Asfa Dhevi Azzumzumi, Muhammad Hanafi, Windha Mega Pradnya Dhuhita
Teknika (2024) Vol. 13, Iss. 2, pp. 293-300
Open Access | Times Cited: 1
A neural network framework for immediate temperature prediction of surgical hand-held drilling
Pei-Ching Kung, Mahtab Heydari, Nien‐Ti Tsou, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 235, pp. 107524-107524
Closed Access | Times Cited: 4
Deep learning‐based COVID‐19 diagnosis using CT scans with laboratory and physiological parameters
Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan
IET Image Processing (2023) Vol. 17, Iss. 11, pp. 3127-3142
Open Access | Times Cited: 4
Uncertainty-Aware Convolutional Neural Network for Identifying Bilateral Opacities on Chest X-rays: A Tool to Aid Diagnosis of Acute Respiratory Distress Syndrome
Mehak Arora, Carolyn Davis, Niraj Gowda, et al.
Bioengineering (2023) Vol. 10, Iss. 8, pp. 946-946
Open Access | Times Cited: 4
Gray Level Co-Occurrence Matrix and RVFL for Covid-19 Diagnosis
Wenhao Tang
ICST Transactions on e-Education and e-Learning (2023) Vol. 8, Iss. 2, pp. e4-e4
Open Access | Times Cited: 3
Artificial intelligence for segmentation and classification of lobar, lobular, and interstitial pneumonia using case-specific CT information
Qiao Zhu, Peishuai Che, Meijiao Li, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 14, Iss. 1, pp. 579-591
Open Access | Times Cited: 2
Pneumonia classification: A limited data approach for global understanding
Anwar Haque, Sayeed Ghani, Muhammad Saeed, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26177-e26177
Open Access
AFEX-Net: Adaptive feature extraction convolutional neural network for classifying computerized tomography images
Roxana Zahedi Nasab, Hadis Mohseni, Mahdieh Montazeri, et al.
Digital Health (2024) Vol. 10
Open Access
The Research Landscape on Generative Artificial Intelligence: A Bibliometric Analysis of Generative Adversarial Networks (Gans)
Giulio Marchena Sekli, Iván Manuel De la Vega Hernández
(2024)
Closed Access
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