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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 Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model
Ayesha Jabbar, Shahid Naseem, Tariq Mahmood, et al.
IEEE Access (2023) Vol. 11, pp. 72518-72536
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Recent Advancements and Future Prospects in Active Deep Learning for Medical Image Segmentation and Classification
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
IEEE Access (2023) Vol. 11, pp. 113623-113652
Open Access | Times Cited: 27
Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes
Umer Farooq, Shahid Naseem, Tariq Mahmood, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 16334-16367
Closed Access | Times Cited: 7
Enhancing Prognosis Accuracy for Ischemic Cardiovascular Disease Using K Nearest Neighbor Algorithm: A Robust Approach
Ghulam Muhammad, Saad Naveed, Lubna Nadeem, et al.
IEEE Access (2023) Vol. 11, pp. 97879-97895
Open Access | Times Cited: 18
Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Ayesha Jabbar, Shahid Naseem, Jianqiang Li, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
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
VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification
Kambham Pratap Joshi, Vishruth B. Gowda, B D Parameshachari, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 2, pp. 29-29
Open Access
A transfer learning based model for brain tumor detection using magnetic resonance imaging
Saurabh Srivastava, Tasneem Ahmed, Rajeev Kumar, et al.
AIP conference proceedings (2025) Vol. 3224, pp. 020059-020059
Closed Access
Brain Tumor Segmentation and Classification using MRI: Modified Segnet Model and Hybrid Deep Learning Architecture with Improved Texture Features
Palleti Venkata Kusuma, S. Chandra Mohan Reddy
Computational Biology and Chemistry (2025) Vol. 117, pp. 108381-108381
Closed Access
An Evaluation of Pre-trained CNN Architectures for Brain Tumor Segmentation and Detection
Venkata Kiranmai Kollipara, Surendra Reddy Vinta
Lecture notes in networks and systems (2025), pp. 507-524
Closed Access
PixMed-Enhancer: An Efficient Approach for Medical Image Augmentation
M. J. Aashik Rasool, Akmalbek Abdusalomov, Alpamis Kutlimuratov, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 235-235
Open Access
MSegNet: A Multi-View Coupled Cross-Modal Attention Model for Enhanced MRI Brain Tumor Segmentation
Yu Wang, Juan Xu, Yucheng Guan, et al.
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients using Generative Adversarial Network with Neural Architectural Search Operations
Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Godavarthi, et al.
IEEE Access (2024) Vol. 12, pp. 140847-140869
Open Access | Times Cited: 4
A hybrid approach for multi modal brain tumor segmentation using two phase transfer learning, SSL and a hybrid 3DUNET
Kaliprasad Pani, Indu Chawla
Computers & Electrical Engineering (2024) Vol. 118, pp. 109418-109418
Closed Access | Times Cited: 3
U-Net++DSM: Improved U-Net++ for Brain Tumor Segmentation With Deep Supervision Mechanism
Kittipol Wisaeng
IEEE Access (2023) Vol. 11, pp. 132268-132285
Open Access | Times Cited: 9
An Optimized Role-Based Access Control Using Trust Mechanism in E-Health Cloud Environment
Ateeq Ur Rehman Butt, Tariq Mahmood, Tanzila Saba, et al.
IEEE Access (2023) Vol. 11, pp. 138813-138826
Open Access | Times Cited: 8
An Image Processing-based and Deep Learning Model to Classify Brain Cancer
Amal Alshahrani, Wusaylah Al-Amoudi, Raghad Bazaraah, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15433-15438
Open Access | Times Cited: 2
Alzheimer’s disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106721-106721
Closed Access | Times Cited: 2
RNN-CNN Based Cancer Prediction Model for Gene Expression
Tanima Thakur, Isha Batra, Arun Malik, et al.
IEEE Access (2023) Vol. 11, pp. 131024-131044
Open Access | Times Cited: 7
Global Self-Attention Module Based Convolutional Neural Network for Brain Tumor Classification
Preeti Sadanand Topannavar, D. M. Yadav, Varsha Bendre
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 647-657
Open Access | Times Cited: 2
An Efficient Algorithm for Extracting Railway Tracks Based on Spatial-Channel Graph Convolutional Network and Deep Neural Residual Network
Yanbin Weng, Meng Xu, Xiahu Chen, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 9, pp. 309-309
Open Access | Times Cited: 2
Brain Tumor Diagnosis Using Deep Learning: A Literature Review
S. Bhuvaneswari, Joel G. Thomas, S Nithish, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
ASA-LSTM-based brain tumor segmentation and classification in MRI images

International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 115
Open Access | Times Cited: 1
An explainable Liquid Neural Network combined with path aggregation residual network for an accurate brain tumor diagnosis
S. Berlin Shaheema, K. Suganya Devi, Naresh Babu Muppalaneni
Computers & Electrical Engineering (2024) Vol. 122, pp. 109999-109999
Closed Access | Times Cited: 1
Advances and Challenges in Brain Tumor Classification and Segmentation: A Comprehensive Review
Kalpana Telkar, K. Anusudha
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access | Times Cited: 1
Advancements in deep learning techniques for brain tumor segmentation: A survey
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 1
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