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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:

A Comprehensive Survey on Brain Tumor Diagnosis Using Deep Learning and Emerging Hybrid Techniques with Multi-modal MR Image
Saqib Ali, Jianqiang Li, Yan Pei, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 4871-4896
Closed Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images
R Preetha, M. Jasmine Pemeena Priyadarsini, J. S. Nisha
IEEE Access (2023) Vol. 11, pp. 138549-138567
Open Access | Times Cited: 4
A Comprehensive Review on Artificial Intelligence-Driven Radiomics for Early Cancer Detection and Intelligent Medical Supply Chain
Rajneesh Talwar, Manvinder Sharma, Sonia Sonia
Advances in logistics, operations, and management science book series (2024), pp. 226-254
Closed Access | Times Cited: 1
Applications of Deep Learning Models on the Medical Images of Osteonecrosis of the Femoral Head (ONFH): A Comprehensive Review
Jiao Wang, Yi Zheng, Jun Luo, et al.
IEEE Access (2024) Vol. 12, pp. 57613-57632
Open Access | Times Cited: 1
Robust Brain Tumor Detection and Classification via Multi-Technique Image Analysis
N Salma, G R Madhuri, Basavaraj N Jagadale, et al.
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076020-076020
Open Access | Times Cited: 1
EnsUNet: Enhancing Brain Tumor Segmentation Through Fusion of Pre-trained Models
Ilhem Laouamer, Oussama Aiadi, Mohammed Lamine Kherfi, et al.
Lecture notes in networks and systems (2024), pp. 163-174
Closed Access | Times Cited: 1
Enhancing Brain Tumor Classification: A Comparative Study of Single-Model and Multi-Model Fusion Approaches
Mariam Ahmed, Moamen Zaher, Ammar Mohammed
(2024), pp. 495-500
Closed Access | Times Cited: 1
Kfd-net: a knowledge fusion decision method for post-processing brain glioma MRI segmentation
Guizeng Wang, Huimin Lu, Ni-Ya Li, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 4
Closed Access | Times Cited: 1
Pediatric brain tumor classification using deep learning on MR-images from the children’s brain tumor network
Tamara Bianchessi, Iulian Emil Tampu, Ida Blystad, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Comparison of Deep Learning Methods for Detecting Brain Tumor
Kiran Preet Bedi, Jitendra Singh Jadon
(2024), pp. 897-901
Closed Access
Automated Multimodal Medical Diagnostics Using Deep Learning Frameworks
Rajendra Pandey, A Rengarajan, Aishwary Awasthi
(2024), pp. 1-7
Closed Access
Transformation of MRI Images to Three-Level Color Spaces for Brain Tumor Classification Using Deep-Net
Fadl Dahan
Intelligent Automation & Soft Computing (2024) Vol. 39, Iss. 2, pp. 381-395
Open Access
Advanced feature learning and classification of microscopic breast abnormalities using a robust deep transfer learning technique
Amjad Rehman, Tariq Mahmood, Faten S. Alamri, et al.
Microscopy Research and Technique (2024) Vol. 87, Iss. 8, pp. 1862-1888
Closed Access
Enhancing Brain Tumor Detection: A Comparative Study of Machine Learning Models
Mukesh Chand, Garima Mathur, Sushil Kumar Jain
(2024), pp. 546-553
Closed Access
Cardiovascular Disease Prediction Using Machine Learning and Deep Learning Algorithms
M. Murugesan, S Mohamednowfal, S Dineshwaran, et al.
(2024), pp. 309-317
Closed Access
FCM and CBAC based Brain Tumor Identification and Segmentation
K. Nagalakshmi, R. Maheswari, T. C. Jaanu Priya, et al.
Journal of Soft Computing Paradigm (2024) Vol. 6, Iss. 2, pp. 155-168
Open Access
Infant Brain Tumor Detection Using Deep Learning
Beedala Sujith Kumar Reddy, Golden Nancy R, C Renuka
(2024), pp. 1-7
Closed Access
Human Brain Stroke Prediction using Machine Learning Methods with Synthetic Minority Oversampling Approach
Muhammad Mujahid, Noor Ayesha, Ahmad Taher Azar, et al.
(2024), pp. 84-89
Closed Access
Classification of Brain Tumor with Deep Learning Models
P. Ramadevi, Motamarri Jaya Naga Venkata Sai, Prathima Srinivas
(2024), pp. 01-08
Closed Access
Modalities Guided Latent Diffusion Model for Brain MRI Synthesis
Xiaoliang Lei, Xiaosheng Yu, Maocheng Bai, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 4440-4444
Closed Access
Multi‐class brain tumor classification system in MRI images using cascades neural network
A. Jayachandran, N. Anisha
Computational Intelligence (2024) Vol. 40, Iss. 4
Closed Access
Brain Tumour Detection from MRI Images Using Enhanced Extreme Machine Learning Probabilistic Scaling
A. Geetha, V. Keerthika
Lecture notes in networks and systems (2024), pp. 475-487
Closed Access
YOLOv7 for brain tumour detection using morphological transfer learning model
Sanat Kumar Pandey, Ashish Kumar Bhandari
Neural Computing and Applications (2024) Vol. 36, Iss. 32, pp. 20321-20340
Closed Access
Improving privacy-preserving multi-faceted long short-term memory for accurate evaluation of encrypted time-series MRI images in heart disease
Lenka Čepová, Muniyandy Elangovan, Janjhyam Venkata Naga Ramesh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Pediatric brain tumor classification using deep learning on MR-images with age fusion
Iulian Emil Tampu, Tamara Bianchessi, Ida Blystad, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Detection of Brain Tumor using Medical Images: A Comparative Study of Machine Learning Algorithms – A Systematic Literature Review
Solomon Antwi Buabeng, Atta Yaw Agyeman, Samuel Gbli Tetteh, et al.
International Journal of Latest Technology in Engineering Management & Applied Science (2024) Vol. 13, Iss. 9, pp. 77-85
Open Access

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