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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:

Deep and statistical learning in biomedical imaging: State of the art in 3D MRI brain tumor segmentation
K. Ruwani M. Fernando, Chris P. Tsokos
Information Fusion (2022) Vol. 92, pp. 450-465
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

A Comprehensive Review of Vision-Based 3D Reconstruction Methods
Linglong Zhou, Guoxin Wu, Yunbo Zuo, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2314-2314
Open Access | Times Cited: 20
Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures
Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, et al.
Mathematics (2023) Vol. 11, Iss. 19, pp. 4189-4189
Open Access | Times Cited: 37
Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities - Challenges and future directions
Amreen Batool, Yung-Cheol Byun
Computers in Biology and Medicine (2024) Vol. 175, pp. 108412-108412
Closed Access | Times Cited: 12
A Survey of Deep Learning for Alzheimer’s Disease
Qinghua Zhou, Jiaji Wang, Xiang Yu, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 611-668
Open Access | Times Cited: 22
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug–disease associations prediction
Junkai Liu, Shixuan Guan, Quan Zou, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111329-111329
Open Access | Times Cited: 21
Automatic Segmentation with Deep Learning in Radiotherapy
Lars Johannes Isaksson, Paul Summers, Federico Mastroleo, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4389-4389
Open Access | Times Cited: 20
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites
Yijie Ding, Prayag Tiwari, Fei Guo, et al.
Information Fusion (2023) Vol. 100, pp. 101911-101911
Open Access | Times Cited: 14
Multi-teacher cross-modal distillation with cooperative deep supervision fusion learning for unimodal segmentation
Saeed Ahmad, Zahid Ullah, Jeonghwan Gwak
Knowledge-Based Systems (2024) Vol. 297, pp. 111854-111854
Closed Access | Times Cited: 5
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks: U-Net Framework with PSO-Tuned Hyperparameters
Shoffan Saifullah, Rafał Dreżewski
Lecture notes in computer science (2024), pp. 333-351
Closed Access | Times Cited: 5
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
CMS-net: Edge-aware multimodal MRI feature fusion for brain tumor segmentation
Chunjie Lv, Biyuan Li, Xiuwei Wang, et al.
Image and Vision Computing (2025) Vol. 156, pp. 105481-105481
Closed 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
Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks
S Anjana, P. M. Siva Raja, K. Rejini, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107838-107838
Closed Access
3D Hyperspectral Data Analysis with Spatially Aware Deep Learning for Diagnostic Applications
Ruihao Luo, Shuxia Guo, Julian Hniopek, et al.
Analytical Chemistry (2025)
Open Access
Learning deep feature representations for multi-modal MR brain tumor segmentation
Tongxue Zhou, Zheng Wang, Xiaohui Liu, et al.
Neurocomputing (2025), pp. 130162-130162
Closed Access
Exploration of Advanced Applications of Triboelectric Nanogenerator-Based Self-Powered Sensors in the Era of Artificial Intelligence
Yi‐Feng Su, D.L. Yin, Xinmao Zhao, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2520-2520
Open Access
Accurate Deep Learning Models for Predicting Brain Cancer at begin Stage
N. Sathish, G. Gangadevi, K Sangeetha, et al.
International Research Journal of Multidisciplinary Technovation (2025), pp. 66-76
Open Access
Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation
Asim Zaman, Mazen M. Yassin, Irfan Mehmud, et al.
Methods (2025)
Closed Access
Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation
Tianlun Zhang, Xinlei Zhou, Debby D. Wang, et al.
Information Fusion (2024) Vol. 106, pp. 102253-102253
Closed Access | Times Cited: 3
Dynamic weighted knowledge distillation for brain tumor segmentation
Dianlong An, Panpan Liu, Feng Yan, et al.
Pattern Recognition (2024) Vol. 155, pp. 110731-110731
Closed Access | Times Cited: 3
Brain-GCN-Net: Graph-Convolutional Neural Network for brain tumor identification
Ercan Gürsoy, Yasin Kaya
Computers in Biology and Medicine (2024) Vol. 180, pp. 108971-108971
Closed Access | Times Cited: 3
Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy
Junkai Liu, Fuyuan Hu, Quan Zou, et al.
Information Fusion (2024) Vol. 112, pp. 102563-102563
Open Access | Times Cited: 3
Classification of Brain Tumours Types Based On MRI Images Using Mobilenet
Tsamara Hanifa Arfan, Mardhiya Hayaty, Arifiyanto Hadinegoro
(2021), pp. 69-73
Closed Access | Times Cited: 16
SegLD: Achieving universal, zero-shot and open-vocabulary segmentation through multimodal fusion via latent diffusion processes
Hongtao Zheng, Yifei Ding, Zilong Wang, et al.
Information Fusion (2024) Vol. 111, pp. 102509-102509
Closed Access | Times Cited: 2
Accurate Identification of Cancer Cells in Complex Pre‐Clinical Models Using a Deep‐Learning Neural Network: A Transfection‐Free Approach
Marilisa Cortesi, Dongli Liu, Elyse Powell, et al.
Advanced Biology (2024) Vol. 8, Iss. 11
Open Access | Times Cited: 2
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