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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:

Brain Tumor Classification using VGG 16, ResNet50, and Inception V3 Transfer Learning Models
Rudresh Pillai, Avinash Sharma, Neha Sharma, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 20

Showing 20 citing articles:

Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
M. Mohamed Musthafa, T R Mahesh, V. Vinoth Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 23
Data‐Driven Diagnostics
Astha Pathak, Lalita Panika
(2025), pp. 45-60
Closed Access
Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks
Deependra Rastogi, Prashant Johri, Massimo Donelli, et al.
Life (2025) Vol. 15, Iss. 3, pp. 327-327
Open Access
Brain Tumor Classification Using a Hybrid Ensemble of Xception and Parallel Deep CNN Models
sang-jin yoon
Informatics in Medicine Unlocked (2025), pp. 101629-101629
Open Access
Classification of Osteo-Arthritis with the Help of Deep Learning and Transfer Learning
Gunjan Sharma, Vatsala Anand, Vijay Kumar
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2023), pp. 446-452
Closed Access | Times Cited: 11
A Suitable Approach for Classifying Skin Disease Using Deep Convolutional Neural Network
Gunjan Sharma, Vatsala Anand, Vijay Kumar
(2023), pp. 1-6
Closed Access | Times Cited: 11
Harnessing the Strength of ResNet50 to Improve the Ocular Disease Recognition
Gunjan Sharma, Vatsala Anand, Sheifali Gupta
(2023), pp. 1-7
Closed Access | Times Cited: 10
Comparative Study Between Q-NAS and Traditional CNNs for Brain Tumor Classification
Fabio Cardoso, Marley Vellasco, Karla Figueiredo
Communications in computer and information science (2024), pp. 93-105
Closed Access | Times Cited: 2
Cracking Light on Cataract Detection by Implementing VGG16 Transfer Learning-Based Model on Fundus Images
Gunjan Sharma, Vatsala Anand, Sheifali Gupta
(2023), pp. 1-6
Closed Access | Times Cited: 4
Multi-modal fusion deep transfer learning for accurate brain tumor classification using magnetic resonance imaging images
Srinivas Babu Gottipati, T. Gowri
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 2, pp. 825-825
Open Access | Times Cited: 1
Generous Approach for Diagnosis and Detection of Gastrointestinal Tract Disease with Application of Deep Neural Network
Gunjan Sharma, Vatsala Anand, Sheifali Gupta
(2023)
Closed Access | Times Cited: 4
Utilizing the Inception-ResNetV2 Pre-trained Model for Binary Classification of Leukemia Cells: An Advanced Approach to Hematological Diagnostics
Gunjan Sharma, Vatsala Anand, Sheifali Gupta
(2023)
Closed Access | Times Cited: 3
Enhancing Accuracy in Detection of Glioma Tumor Using DenseNet CNN
Retinderdeep Singh, Chander Prabha
(2023), pp. 1-5
Closed Access | Times Cited: 3
Optimizing Inception-V3 for Brain Tumor Classification Using Hybrid Precision Training and Cosine Annealing Learning Rate
Junxin Wang, Lianzheng He, Xinqi Zhou
(2024), pp. 528-532
Closed Access
Comparative Analysis of Convolutional Neural Networks for Brain Tumor Detection: A Study of VGG16, ResNet, Inception, and DenseNet Models
CRS KUMAR, J. Sree Sankar
(2024), pp. 41-46
Closed Access
MODIFIED VGG16 FOR ACCURATE BRAIN TUMOR DETECTION IN MRI IMAGERY
Katuri Rama Krishna, Mohammad Arbaaz, Surya Naga Chandra Dhanekula, et al.
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska (2024) Vol. 14, Iss. 3, pp. 71-75
Open Access
Generating synthetic data in biomedical imaging by designing GANs
Tehreem Awan, Muhammad Dawood Mushtaq, Muhammad Shahzad, et al.
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 3, pp. 44-54
Open Access
Employing Xception convolutional neural network through high-precision MRI analysis for brain tumor diagnosis
R. Sathya, T R Mahesh, Surbhi Bhatia Khan, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Efficient Net-B6 model-based Transfer Learning For The Classification of Brain Tumors
Surajit Das, Sangem Jaya Prakash, Rajat Subhra Goswami, et al.
SSRN Electronic Journal (2023)
Closed Access
Ensembling of Deep Learning Models for Automatic Diagnosis of Breast Cancer with Histopathology Images
Gunjan Sharma, Vatsala Anand, Sheifali Gupta
(2023), pp. 1-6
Closed Access
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