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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:

CXGNet: A tri-phase chest X-ray image classification for COVID-19 diagnosis using deep CNN with enhanced grey-wolf optimizer
Anandbabu Gopatoti, P. Vijayalakshmi
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103860-103860
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review
Sharif Naser Makhadmeh, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
IEEE Access (2023) Vol. 12, pp. 22991-23028
Open Access | Times Cited: 51
Review of the grey wolf optimization algorithm: variants and applications
Yunyun Liu, Azizan As’arry, Mohd Khair Hassan, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2713-2735
Closed Access | Times Cited: 32
A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 439-439
Open Access | Times Cited: 30
MCSC-Net: COVID-19 detection using deep-Q-neural network classification with RFNN-based hybrid whale optimization
Gerard Deepak, M. Madiajagan, Sanjeev Kulkarni, et al.
Journal of X-Ray Science and Technology (2023) Vol. 31, Iss. 3, pp. 483-509
Open Access | Times Cited: 28
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 8
An ensemble method for the detection and classification of lung cancer using Computed Tomography images utilizing a capsule network with Visual Geometry Group
A. R. Bushara, R.S. Vinod Kumar, S. S. Kumar
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104930-104930
Closed Access | Times Cited: 19
Swarm intelligence empowered three-stage ensemble deep learning for arm volume measurement in patients with lymphedema
Ali Shokouhifar, Mohammad Shokouhifar, Maryam Sabbaghian, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105027-105027
Closed Access | Times Cited: 18
A novel ensemble CNN model for COVID-19 classification in computerized tomography scans
Lúcio Flávio de Jesus Silva, Omar Andrés Carmona Cortes, João Otávio Bandeira Diniz
Results in Control and Optimization (2023) Vol. 11, pp. 100215-100215
Open Access | Times Cited: 15
Diagnosis of pes planus from X-ray images: Enhanced feature selection with deep learning and machine learning techniques
Çağla Danacı, Derya Avcı, Seda Arslan Tuncer
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107769-107769
Closed Access
High-Performance Convolutional Neural Network Model to Identify COVID-19 in Medical Images
Macellino Setyaji Sunarjo, Hong‐Seng Gan, De Rosal Ignatius Moses Setiadi
Journal of Computing Theories and Applications (2023) Vol. 1, Iss. 1, pp. 19-30
Open Access | Times Cited: 12
The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Samira Sajed, Amir Sanati, Jorge Esparteiro Garcia, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110817-110817
Closed Access | Times Cited: 12
MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images
Anandbabu Gopatoti, P. Vijayalakshmi
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104857-104857
Open Access | Times Cited: 8
Classification of COVID-19 patients from HRCT score prediction in CT images using transfer learning approach
Jitendra V. Tembhurne
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images
Daniel Addo, Shijie Zhou, Jehoiada Jackson, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2569-2569
Open Access | Times Cited: 13
Hybrid bio-inspired computing in medical image data analysis: A review
Anupam Kumar, Faiyaz Ahmad, Bashir Alam
Intelligent Decision Technologies (2024), pp. 1-18
Closed Access | Times Cited: 2
An efficient deep multi‐task learning structure for covid‐19 disease
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, et al.
IET Image Processing (2023) Vol. 17, Iss. 13, pp. 3728-3745
Open Access | Times Cited: 6
Deep learning framework for classification of COVID-19 from Chest X-rays
Anandbabu Gopatoti
International Journal of Scientific Methods in Intelligence Engineering Networks (2023) Vol. 01, Iss. 01, pp. 25-36
Open Access | Times Cited: 5
Covid-19 Classification using Fine-tuned EfficientNet Architecture
S Sruthi, Siddharth Emadaboina, Pradyumna Machavarapu, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access | Times Cited: 1
Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach
Víctor García-Gutiérrez, Adrián González, Erik Cuevas, et al.
Symmetry (2024) Vol. 16, Iss. 7, pp. 870-870
Open Access | Times Cited: 1
Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images
S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
VGG16-3PGA: A Hybrid Approach for Plant Disease Detection
Rahul Sharma, Amar Singh
Deleted Journal (2024) Vol. 76, Iss. 6, pp. 1541-1552
Closed Access | Times Cited: 1
Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains
Hongyu Wang, Yong Xia
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104488-104488
Closed Access | Times Cited: 8
RED-CNN: The Multi-Classification Network for Pulmonary Diseases
Sanli Yi, Sheng-Lin Qin, Fu-Rong She, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2896-2896
Open Access | Times Cited: 6
DiagCovidPNA: diagnosing and differentiating COVID-19, viral and bacterial pneumonia from chest X-ray images using a hybrid specialized deep learning approach
Vahid Mohammadian Takaloo, Mahdi Hashemzadeh, Jalil Ghavidel Neycharan
Soft Computing (2023) Vol. 28, Iss. 15-16, pp. 8657-8680
Closed Access | Times Cited: 2
DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray images
Anandbabu Gopatoti, Ramya Jayakumar, Poornaiah Billa, et al.
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 3, pp. 623-649
Closed Access
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