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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 from images and comparison with transfer learning methods and 3-layer CNN
Mohammad Zafer Khaliki, Muhammet Sinan Başarslan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning
Asadullah Shaikh, Samina Amin, Muhammad Ali Zeb, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109703-109703
Closed Access
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Ilknur Tuncer, Abdul Hafeez‐Baig, Prabal Datta Barua, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107538-107538
Open Access
Detection of brain tumors using a transfer learning-based optimized ResNet152 model in MR images
Prabhpreet Kaur, Priyanka Mahajan
Computers in Biology and Medicine (2025) Vol. 188, pp. 109790-109790
Closed Access
M-C&M-BL: a novel classification model for brain tumor classification: multi-CNN and multi-BiLSTM
Muhammet Sinan Başarslan
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access
Enhancing Cancer Diagnosis
Ismail Y. Maolood
ARO-The Scientific Journal of Koya University (2025) Vol. 13, Iss. 1, pp. 75-85
Open Access
From Traditional Methods to 3D U-Net: A Comprehensive Review of Brain Tumour Segmentation Techniques
Mohammed A. Saleh, Musab Elkheir Salih, Mohamed A. A. Ahmed, et al.
Journal of Biomedical Science and Engineering (2025) Vol. 18, Iss. 01, pp. 1-32
Open Access
T1-weighted MRI-based brain tumor classification using hybrid deep learning models
Mohsen Asghari Ilani, Dingjing Shi, Yaser M. Banadaki
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Enhanced brain tumor detection and classification using a deep image recognition generative adversarial network (DIR-GAN): a comparative study on MRI, X-ray, and FigShare datasets
S. Karpakam, N. Kumareshan
Neural Computing and Applications (2025)
Closed Access
Real-Time Object Detector for Medical Diagnostics (RTMDet): A High-Performance Deep Learning Model for Brain Tumor Diagnosis
Sanjar Bakhtiyorov, Sabina Umirzakova, Muhammadjon Musaev, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 274-274
Open Access
Deep Learning for Early Brain Tumor Detection
Ruchira Goel, Updesh Kumar Jaiswal, Pancham Singh, et al.
IGI Global eBooks (2025), pp. 145-180
Closed Access
DeepCancer: deep learning for brain tumor detection-based application system
Suleyman Al-Showarah
Neural Computing and Applications (2025)
Closed Access
Impact of preprocessing techniques on MRI-based brain tumor detection
Tanima Ghosh, N. Jayanthi
Multimedia Tools and Applications (2025)
Closed Access
An integrated deep learning and supervised learning approach for early detection of brain tumor using magnetic resonance imaging
Kamini Lamba, Shalli Rani, Monika Anand, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100336-100336
Open Access | Times Cited: 2
A hybrid deep learning scheme for MRI-based preliminary multiclassification diagnosis of primary brain tumors
Zhichao Wang, Chuchu He, Yan Hu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Computational modeling for medical data: From data collection to knowledge discovery
Yang Yin, Shuangbin Xu, Yifan Hong, et al.
The Innovation Life (2024) Vol. 2, Iss. 3, pp. 100079-100079
Closed Access | Times Cited: 2
ViT-CB: Integrating hybrid Vision Transformer and CatBoost to enhanced brain tumor detection with SHAP
Radius Tanone, Li-Hua Li, Shoffan Saifullah
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107027-107027
Closed Access | Times Cited: 2
Automatic Classification of Focal Liver Lesions Based on Multi-Sequence MRI
Mingfang Hu, Shuxin Wang, Mengqing Wu, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 2
Enhanced MRI-based brain tumor segmentation and feature extraction using Berkeley wavelet transform and ETCCNN
Dilip Kumar Gokapay, Sachi Nandan Mohanty
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Enhancing brain tumor detection: integrating CNN-LSTM and CNN-BiLSTM models for efficient classification in MRI images

International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 115
Open Access | Times Cited: 1
A novel brain tumor segmentation and classification model using deep neural network over MRI-flair images
R. Rajmohan, T. Ananth Kumar, S. G. Sandhya, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Classification of Traffic Signs Using Transfer Learning Methods
Ömer Aykılıç, Muhammet Sinan Başarslan, Fatih Bal
Afyon Kocatepe University Journal of Sciences and Engineering (2024) Vol. 24, Iss. 4, pp. 829-838
Open Access | Times Cited: 1
TRANSFORMING BRAIN TUMOR DIAGNOSIS: VISION TRANSFORMERS COMBINED WITH ENSEMBLE TECHNIQUES
Anees Tariq
(2024), pp. 1072-1084
Open Access
MRI Brain Tumor Classification and Extraction using Deep Learning-Based Decision Level Image Fusion Technique
Vasanthi Ravindran, T. Kalaiselvi, Anitha Thiyagarajan
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 27, pp. 2848-2857
Open Access
Brain Tumor Detection Based on Deep Features Concatenation and Machine Learning Classifiers With Genetic Selection
Mohamed Wageh, Khalid Amin, Abeer D. Algarni, et al.
IEEE Access (2024) Vol. 12, pp. 114923-114939
Open Access
WGCAMNet: Wasserstein Generative Adversarial Network Augmented and Custom Attention Mechanism Based Deep Neural Network for Enhanced Brain Tumor Detection and Classification
Fatema Binte Alam, Tahasin Ahmed Fahim, Md Asef, et al.
Information (2024) Vol. 15, Iss. 9, pp. 560-560
Open Access
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