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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 neural network correlation learning mechanism for CT brain tumor detection
Marcin Woźniak, Jakub Siłka, Michał Wieczorek
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14611-14626
Open Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Brain Tumor Analysis Using Deep Learning and VGG-16 Ensembling Learning Approaches
Ayesha Younis, Qiang Li, Charles Okanda Nyatega, et al.
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7282-7282
Open Access | Times Cited: 169
Vision Transformers in medical computer vision—A contemplative retrospection
Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106126-106126
Open Access | Times Cited: 146
A Deep Analysis of Brain Tumor Detection from MR Images Using Deep Learning Networks
Md Ishtyaq Mahmud, Muntasir Mamun, Ahmed Abdelgawad
Algorithms (2023) Vol. 16, Iss. 4, pp. 176-176
Open Access | Times Cited: 134
Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor
Atika Akter, Nazeela Nosheen, Sabbir Ahmed, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122347-122347
Open Access | Times Cited: 91
Deep learning and Internet of Things for tourist attraction recommendations in smart cities
Juan Carlos Cepeda-Pacheco, Mari Carmen Domingo
Neural Computing and Applications (2022) Vol. 34, Iss. 10, pp. 7691-7709
Open Access | Times Cited: 72
A review on brain tumor segmentation based on deep learning methods with federated learning techniques
Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102313-102313
Open Access | Times Cited: 44
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
Shweta Jain, Hrudaya Kumar Tripathy, Saurav Mallik, et al.
IEEE Access (2023) Vol. 11, pp. 117741-117751
Open Access | Times Cited: 43
Employing deep learning and transfer learning for accurate brain tumor detection
Sandeep Kumar Mathivanan, Sridevi Sonaimuthu, Sankar Murugesan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 42
Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
M. Mohamed Musthafa, T R Mahesh, V. Vinoth Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 23
Brain Tumor Detection and Categorization with Segmentation of Improved Unsupervised Clustering Approach and Machine Learning Classifier
Usharani Bhimavarapu, Nalini Chintalapudi, Gopi Battineni
Bioengineering (2024) Vol. 11, Iss. 3, pp. 266-266
Open Access | Times Cited: 17
MBANet: A 3D convolutional neural network with multi-branch attention for brain tumor segmentation from MRI images
Yuan Cao, Weifeng Zhou, Min Zang, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104296-104296
Closed Access | Times Cited: 69
An Efficient Approach for the Detection of Brain Tumor Using Fuzzy Logic and U-NET CNN Classification
Sarmad Maqsood, Robertas Damaševičius, Faisal Mehmood Shah
Lecture notes in computer science (2021), pp. 105-118
Closed Access | Times Cited: 67
Object Detection in Medical Images Based on Hierarchical Transformer and Mask Mechanism
Yuntao Shou, Tao Meng, Wei Ai, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 50
Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans
Nida Nasir, Afreen Kansal, Feras Barneih, et al.
Intelligent Systems with Applications (2022) Vol. 17, pp. 200160-200160
Open Access | Times Cited: 44
An attention-guided convolutional neural network for automated classification of brain tumor from MRI
Sumeet Saurav, Ayush Sharma, Ravi Saini, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2541-2560
Closed Access | Times Cited: 40
SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images
Usman Muhammad, Md Ziaul Hoque, Mourad Oussalah, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108207-108207
Open Access | Times Cited: 39
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: 36
Grade Classification of Tumors from Brain Magnetic Resonance Images Using a Deep Learning Technique
Saravanan Srinivasan, Prabin Selvestar Mercy Bai, Sandeep Kumar Mathivanan, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1153-1153
Open Access | Times Cited: 25
Novel design of intelligent Bayesian networks to study the impact of magnetic field and Joule heating in hybrid nanomaterial flow with applications in medications for blood circulation
Saeed Ehsan Awan, Muhammad Awais, Robicca Shamim, et al.
Tribology International (2023) Vol. 189, pp. 108914-108914
Closed Access | Times Cited: 25
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
MPEDA-Net: A lightweight brain tumor segmentation network using multi-perspective extraction and dense attention
Hao Luo, Dongmei Zhou, Yongjian Cheng, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106054-106054
Closed Access | Times Cited: 11
Brain Tumor Detection and Classification Using Transfer Learning Models
Vinod Kumar D, G. Murali, Kannan Sreerangan, et al.
(2024), pp. 1-1
Open Access | Times Cited: 10
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 | Times Cited: 1
YOLO-TumorNet: An innovative model for enhancing brain tumor detection performance
Jian Huang, Wen Feng Ding, Tiancheng Zhong, et al.
Alexandria Engineering Journal (2025) Vol. 119, pp. 211-221
Open Access | Times Cited: 1
Revolutionizing Brain Tumor Detection Using Explainable AI in MRI Images
Md. Ariful Islam, M. F. Mridha, Mejdl Safran, et al.
NMR in Biomedicine (2025) Vol. 38, Iss. 3
Closed Access | Times Cited: 1
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