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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 Robust End-to-End Deep Learning-Based Approach for Effective and Reliable BTD Using MR Images
Naeem Ullah, Muhammad Sohail Khan, Javed Ali Khan, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7575-7575
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Classifying Brain Tumors on Magnetic Resonance Imaging by Using Convolutional Neural Networks
Marco Antonio Gómez-Guzmán, Laura Jiménez-Beristáin, Enrique Efrén García-Guerrero, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 955-955
Open Access | Times Cited: 103
Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models
Rukiye Disci, Fatih Gürcan, Ahmet Soylu
Cancers (2025) Vol. 17, Iss. 1, pp. 121-121
Open Access | Times Cited: 2
A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network
Naeem Ullah, Javed Ali Khan, Shaker El–Sappagh, et al.
Diagnostics (2023) Vol. 13, Iss. 1, pp. 162-162
Open Access | Times Cited: 41
Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification
Muhammed ÇELİK, Özkan İni̇k
Expert Systems with Applications (2023) Vol. 238, pp. 122159-122159
Closed Access | Times Cited: 35
Design of an Optimal Convolutional Neural Network Architecture for MRI Brain Tumor Classification by Exploiting Particle Swarm Optimization
Sofia El Amoury, Youssef Smili, Youssef Fakhri
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 31-31
Open Access | Times Cited: 1
An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model
Naeem Ullah, Javed Ali Khan, Sultan Almakdi, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 18
ChestCovidNet: An Effective DL-based Approach for COVID-19, Lung Opacity, and Pneumonia Detection Using Chest Radiographs Images
Naeem Ullah, Javed Ali Khan, Sultan Almakdi, et al.
Biochemistry and Cell Biology (2024)
Open Access | Times Cited: 8
TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification
Anindya Nag, Hirak Mondal, Md. Mehedi Hassan, et al.
IEEE Access (2024) Vol. 12, pp. 103060-103081
Open Access | Times Cited: 6
Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images
Naeem Ullah, Muhammad Hassan, Javed Ali Khan, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 16
DeepLungNet: An Effective DL-Based Approach for Lung Disease Classification Using CRIs
Naeem Ullah, Mehrez Marzougui, Ijaz Ahmad, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1860-1860
Open Access | Times Cited: 15
TumorDetNet: A unified deep learning model for brain tumor detection and classification
Naeem Ullah, Ali Javed, Ali Alhazmi, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291200-e0291200
Open Access | Times Cited: 15
Brain tumor classification and detection via hybrid alexnet-gru based on deep learning
A. Priya, V. Vasudevan
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105716-105716
Closed Access | Times Cited: 15
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model
K. Bhagyalaxmi, B. Dwarakanath
Neuroinformatics (2025) Vol. 23, Iss. 2
Closed Access
Deep Transfer Model Based Accurate Brain Tumor Classification in Magnetic Resonance Images
N. Keerthika, V. Kiruthika, Sathish Eswaramoorthy, et al.
Communications in computer and information science (2025), pp. 190-204
Closed Access
Automated Detection of COVID-19 Using Deep Convolutional Neural Network (CNNs) Using Chest Radiograph and CT Scan Images
Naeem Uallah, Javed Ali Khan, Asaf Raza, et al.
Communications in computer and information science (2025), pp. 61-74
Closed Access
Clinical Decision Support Framework for Segmentation and Classification of Brain Tumor MRIs Using a U-Net and DCNN Cascaded Learning Algorithm
Nagwan Abdel Samee, Tahir Ahmad, Noha F. Mahmoud, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2340-2340
Open Access | Times Cited: 18
Performance Evaluation of Machine Learning Algorithms for Sarcopenia Diagnosis in Older Adults
Su Özgür, Yasemin Atik Altınok, Devrim Bozkurt, et al.
Healthcare (2023) Vol. 11, Iss. 19, pp. 2699-2699
Open Access | Times Cited: 8
A classifier model for prostate cancer diagnosis using CNNs and transfer learning with multi-parametric MRI
Mubashar Mehmood, Sadam Hussain Abbasi, Khursheed Aurangzeb, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 7
A Novel Deep Learning Approach for Colon and Lung Cancer Classification Using Histopathological Images
Naeem Ullah, Ivanoe De Falco, Giovanna Sannino
(2023), pp. 1-10
Closed Access | Times Cited: 4
Identification of biological markers in cancer disease using explainable artificial intelligence
Muhammad Shahzad, Ruhal Lohana, Khursheed Aurangzeb, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 1
Medical image analysis using improved SAM-Med2D: segmentation and classification perspectives
Jiakang Sun, Ke Chen, Zhiyi He, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Explainable Predictions for Brain Tumor Diagnosis Using InceptionV3 CNN Architecture
Punam Bedi, Ningyao Ningshen, Surbhi Rani, et al.
Lecture notes in networks and systems (2023), pp. 125-134
Closed Access | Times Cited: 2
A Machine Learning Algorithm-Based IoT-Based Message Alert System for Predicting Coronary Heart Disease
C. Dhanamjayulu, Grandhi Venkata Suraj, Madicharala Nikhil, et al.
Communications in computer and information science (2022), pp. 362-376
Closed Access | Times Cited: 3
Efficient brain tumor grade classification using ensemble deep learning models
M Sankar, Baiju BV, D Preethi, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches
Nadenlla RajamohanReddy, G. Muneeswari
PeerJ Computer Science (2024) Vol. 10, pp. e2496-e2496
Open Access
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