OpenAlex Citation Counts

OpenAlex Citations Logo

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 segmentation and classification on MRI via deep hybrid representation learning
Nacer Farajzadeh, Nima Sadeghzadeh, Mahdi Hashemzadeh
Expert Systems with Applications (2023) Vol. 224, pp. 119963-119963
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification
İshak Paçal, Ömer Çelik, Bilal Bayram, et al.
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 11187-11212
Open Access | Times Cited: 19

BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification
Muhammad Sami Ullah, Muhammad Attique Khan, Nouf Abdullah Almujally, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 18

Liver segmentation network based on detail enhancement and multi-scale feature fusion
Lu Tinglan, Jun Qin, Guihe Qin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2

A multi-modality framework for precise brain tumor detection and multi-class classification using hybrid GAN approach
S. Karpakam, N. Kumareshan
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107559-107559
Closed Access | Times Cited: 2

A Review of Recent Advances in Brain Tumor Diagnosis Based on AI-Based Classification
Reham Kaifi
Diagnostics (2023) Vol. 13, Iss. 18, pp. 3007-3007
Open Access | Times Cited: 39

Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data
Amol Avinash Joshi, Rabia Musheer Aziz
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 2
Closed Access | Times Cited: 35

A systematic analysis of magnetic resonance images and deep learning methods used for diagnosis of brain tumor
Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23929-23966
Closed Access | Times Cited: 34

Transfer learning architectures with fine-tuning for brain tumor classification using magnetic resonance imaging
Md. Monirul Islam, Prema Barua, Moshiur Rahman, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100270-100270
Open Access | Times Cited: 25

DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation
Feng Yan, Yuan Cao, Dianlong An, et al.
Knowledge-Based Systems (2023) Vol. 285, pp. 111348-111348
Closed Access | Times Cited: 24

Multimodal brain tumor segmentation and classification from MRI scans based on optimized DeepLabV3+ and interpreted networks information fusion empowered with explainable AI
Muhammad Sami Ullah, Muhammad Attique Khan, Hussain Mubarak Albarakati, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109183-109183
Closed Access | Times Cited: 12

Neuro-XAI: Explainable deep learning framework based on deeplabV3+ and bayesian optimization for segmentation and classification of brain tumor in MRI scans
Tallha Saeed, Muhammad Attique Khan, Ameer Hamza, et al.
Journal of Neuroscience Methods (2024) Vol. 410, pp. 110247-110247
Closed Access | Times Cited: 11

Brain tumor segmentation using U-Net in conjunction with EfficientNet
Shu-You Lin, Chun‐Ling Lin
PeerJ Computer Science (2024) Vol. 10, pp. e1754-e1754
Open Access | Times Cited: 7

DASOD: Detail-aware salient object detection
Bahareh Asheghi, Pedram Salehpour, Abdolhamid Moallemi Khiavi, et al.
Image and Vision Computing (2024) Vol. 148, pp. 105154-105154
Closed Access | Times Cited: 6

Efficient superpixel-based brain MRI segmentation using multi-scale morphological gradient reconstruction and quantum clustering
Amin Golzari Oskouei, Nasim Abdolmaleki, Asgarali Bouyer, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107063-107063
Closed Access | Times Cited: 5

BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification
Xiao Liu, Chong Yao, Hongyi Chen, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102307-102307
Closed Access | Times Cited: 12

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: 4

Brain tumor segmentation with deep learning: Current approaches and future perspectives
Akash Verma, Arun Kumar Yadav
Journal of Neuroscience Methods (2025), pp. 110424-110424
Closed Access

MRI Brain tumor segmentation and classification with improved U-Net model
Palleti Venkata Kusuma, S. Chandra Mohan Reddy
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3

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

Enhancing Brain Tumor Segmentation Using Berkeley Wavelet Transformation and Improved SVM
Sandeep Kumar, Jagendra Singh, Prabhishek Singh, et al.
The Open Bioinformatics Journal (2025) Vol. 18, Iss. 1
Open Access

Anatomy-guided slice-description interaction for multimodal brain disease diagnosis based on 3D image and radiological report
Xin Gao, Meihui Zhang, Junjie Li, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 123, pp. 102556-102556
Closed Access

A Review of Brain Tumor Segmentation Using MRIs from 2019 to 2023 (Statistical Information, Key Achievements, and Limitations)
Yasaman Zakeri, Babak Karasfi, Afsaneh Jalalian
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 155-180
Closed Access | Times Cited: 3

Classification of MRI brain tumors based on registration preprocessing and deep belief networks
Karim Gasmi, Ahmed Kharrat, Lassaad Ben Ammar, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 2, pp. 4604-4631
Open Access | Times Cited: 2

Counterfactual condition diffusion with continuous prior adaptive correction for anomaly detection in multimodal brain MRI
Xue Chen, Yanjun Peng
Expert Systems with Applications (2024) Vol. 254, pp. 124295-124295
Closed Access | Times Cited: 2

Page 1 - Next Page

Scroll to top