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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 and multi‐classification using advanced deep learning techniques
Tariq Sadad, Amjad Rehman, Asim Munir, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 6, pp. 1296-1308
Closed Access | Times Cited: 164

Showing 1-25 of 164 citing articles:

Brain tumor detection and classification using machine learning: a comprehensive survey
Javeria Amin, Muhammad Sharif, Anandakumar Haldorai, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3161-3183
Open Access | Times Cited: 262
Business Artificial Intelligence
Ana Jiménez Pastor
(2021)
Open Access | Times Cited: 219
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Amjad Rehman, Siraj M. Khan, Majid Harouni, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 7, pp. 1389-1399
Closed Access | Times Cited: 185
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120534-120534
Open Access | Times Cited: 99
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
Muhammad Attique Khan, Awais Khan, Majed Alhaisoni, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 2, pp. 572-587
Closed Access | Times Cited: 80
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing
K S Ananda Kumar, A. Prasad, Jyoti Metan
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103631-103631
Closed Access | Times Cited: 79
Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model
Ayesha Jabbar, Shahid Naseem, Tariq Mahmood, et al.
IEEE Access (2023) Vol. 11, pp. 72518-72536
Open Access | Times Cited: 44
An automated metaheuristic-optimized approach for diagnosing and classifying brain tumors based on a convolutional neural network
Mansourah Aljohani, Waleed M. Bahgat, Hossam Magdy Balaha, et al.
Results in Engineering (2024) Vol. 23, pp. 102459-102459
Open Access | Times Cited: 17
Comparative analysis for accurate multi-classification of brain tumor based on significant deep learning models
Mohamed S. Elhadidy, Abdelrahman T. Elgohr, Marwa El-Geneedy, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109872-109872
Closed Access | Times Cited: 2
Machine learning techniques to detect and forecast the daily total COVID‐19 infected and deaths cases under different lockdown types
Tanzila Saba, Ibrahim Abunadi, Mirza Naveed Shahzad, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 7, pp. 1462-1474
Open Access | Times Cited: 60
A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis
Ahmad Naeem, Tayyaba Anees, Rizwan Ali Naqvi, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 275-275
Open Access | Times Cited: 59
A framework for efficient brain tumor classification using MRI images
Yurong Guan, Muhammad Aamir, Zia-ur Rahman, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 5, pp. 5790-5815
Open Access | Times Cited: 58
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 51
Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
Iulian Emil Tampu, Anders Eklund, Neda Haj‐Hosseini
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 46
Smart brain tumor diagnosis system utilizing deep convolutional neural networks
Yıldıray Anagün
Multimedia Tools and Applications (2023) Vol. 82, Iss. 28, pp. 44527-44553
Open Access | Times Cited: 32
LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification
Gazi Jannatul Ferdous, Khaleda Akhter Sathi, Md. Azad Hossain, et al.
IEEE Access (2023) Vol. 11, pp. 20337-20350
Open Access | Times Cited: 27
AI‐Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches
Pegah Khosravi, Saber Mohammadi, Fatemeh Zahiri, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 9
Brain Tumor Detection for Efficient Adaptation and Superior Diagnostic Precision by Utilizing MBConv-Finetuned-B0 and Advanced Deep Learning
P. Kavitha, D. Dhinakaran, G. Prabaharan, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 632-644
Open Access | Times Cited: 9
Advancing brain tumor classification accuracy through deep learning: harnessing radimagenet pre-trained convolutional neural networks, ensemble learning, and machine learning classifiers on MRI brain images
Nihal Remzan, Karim Tahiry, Abdelmajid Farchi
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82719-82747
Closed Access | Times Cited: 9
Advancing brain tumor classification through MTAP model: an innovative approach in medical diagnostics
Cüneyt Özdemir, Yahya Doğan
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 7, pp. 2165-2176
Open Access | Times Cited: 9
Improving brain tumor treatment with better imaging and real-time therapy using quantum dots
A. Karthik, S. Shiek Aalam, Sivakumar Manickam, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106286-106286
Closed Access | Times Cited: 8
Progress and trends in neurological disorders research based on deep learning
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102400-102400
Closed Access | Times Cited: 8
Arabic Text Classification Using Convolutional Neural Network and Genetic Algorithms
Deem Alsaleh, Souad Larabi-Marie-Sainte
IEEE Access (2021) Vol. 9, pp. 91670-91685
Open Access | Times Cited: 48
Improved Deep Convolutional Neural Network to Classify Osteoarthritis from Anterior Cruciate Ligament Tear Using Magnetic Resonance Imaging
Mazhar Javed Awan, Mohd Shafry Mohd Rahim, Naomie Salim, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 11, pp. 1163-1163
Open Access | Times Cited: 44
Multimodal brain tumor detection using multimodal deep transfer learning
Parvin Razzaghi, Karim Abbasi, Mahmoud Shirazi, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109631-109631
Closed Access | Times Cited: 36
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