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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 Hybrid CNN-GLCM Classifier For Detection And Grade Classification Of Brain Tumor
Akila Gurunathan, K. Batri
Brain Imaging and Behavior (2022) Vol. 16, Iss. 3, pp. 1410-1427
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106726-106726
Closed Access | Times Cited: 113
Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 481-481
Open Access | Times Cited: 45
Brain tumor segmentation and classification using hybrid deep CNN with LuNetClassifier
T. Balamurugan, E. Gnanamanoharan
Neural Computing and Applications (2022) Vol. 35, Iss. 6, pp. 4739-4753
Closed Access | Times Cited: 49
A comparison between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage plants based on UAV Visible-light images
Zhangxi Ye, Kaile Yang, Yuwei Lin, et al.
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107822-107822
Open Access | Times Cited: 39
Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs
Omneya Attallah, Dina A. Ragab
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104273-104273
Closed Access | Times Cited: 28
Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Carla Pitarch, Gülnur Ungan, Margarida Julià‐Sapé, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 300-300
Open Access | Times Cited: 5
Comparative analysis of image enhancement techniques for braintumor segmentation: contrast, histogram, and hybrid approaches
Shoffan Saifullah, Andri Pranolo, Rafał Dreżewski
E3S Web of Conferences (2024) Vol. 501, pp. 01020-01020
Open Access | Times Cited: 5
An Evaluation of Pre-trained CNN Architectures for Brain Tumor Segmentation and Detection
Venkata Kiranmai Kollipara, Surendra Reddy Vinta
Lecture notes in networks and systems (2025), pp. 507-524
Closed Access
An automated brain tumor classification in MR images using an enhanced convolutional neural network
Ravendra Singh, Bharat Bhushan Agarwal
International Journal of Information Technology (2022) Vol. 15, Iss. 2, pp. 665-674
Closed Access | Times Cited: 26
DeepLabV3, IBCO-based ALCResNet: A fully automated classification, and grading system for brain tumor
Muhammad Yaqub, Jinchao Feng, Shahzad Ahmed, et al.
Alexandria Engineering Journal (2023) Vol. 76, pp. 609-627
Open Access | Times Cited: 15
Early detection of melanoma skin cancer: A hybrid approach using fuzzy C-means clustering and differential evolution-based convolutional neural network
Sreedhar Burada, B. E. Manjunathswamy, M. Sunil Kumar
Measurement Sensors (2024) Vol. 33, pp. 101168-101168
Open Access | Times Cited: 4
Advancing brain tumor segmentation and grading through integration of FusionNet and IBCO-based ALCResNet
Abbas Rehman, Naijie Gu, Asma Aldrees, et al.
Image and Vision Computing (2025), pp. 105432-105432
Closed Access
Extraction of Broad-Leaved Tree Crown Based on UAV Visible Images and OBIA-RF Model: A Case Study for Chinese Olive Trees
Kaile Yang, Houxi Zhang, Fan Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2469-2469
Open Access | Times Cited: 16
An Interactive Deep Learning Approach for Brain Tumor Detection Through 3D-Magnetic Resonance Images
Sahar Gull, Shahzad Akbar, Khadija Safdar
(2021), pp. 114-119
Closed Access | Times Cited: 21
An Improved Deep Structure for Accurately Brain Tumor Recognition
Mohamed Maher Ata, Reem N. Yousef, Faten Khalid Karim, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 2, pp. 1597-1616
Open Access | Times Cited: 8
Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology
Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Yudong Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103786-103786
Closed Access | Times Cited: 13
Expeditious detection and segmentation of bone mass variation in DEXA images using the hybrid GLCM-AlexNet approach
Gautam Amiya, Pallikonda Rajasekaran Murugan, Kottaimalai Ramaraj, et al.
Soft Computing (2024) Vol. 28, Iss. 19, pp. 11633-11646
Open Access | Times Cited: 2
Securing healthcare medical image information using advance morphological component analysis, information hiding systems, and hybrid convolutional neural networks on IoMT
Binay Kumar Pandey, Digvijay Pandey
Computers in Biology and Medicine (2024) Vol. 185, pp. 109499-109499
Closed Access | Times Cited: 2
Hybrid model for brain tumor detection using convolution neural networks
K. Bhagyalaxmi, B. Dwarakanath, P. Vijayapal Reddy
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 3, pp. 1775-1775
Open Access | Times Cited: 1
Identification and Segmentation of Tumour in Brain MRI using Deep Learning Techniques
N Mahendran, P. Muthuvel, T. Arunprasath, et al.
(2023), pp. 1214-1219
Closed Access | Times Cited: 3
Brain Tumor Segmentation and Classification using hybrid Deep CNN with LuNet Classifier
T. Balamurugan, E. Gnanamanoharan
Research Square (Research Square) (2022)
Open Access | Times Cited: 5
Multi-task learning architecture for brain tumor detection and segmentation in MRI images
Maria Nazir, Muhammad Junaid Ali, Zahid Tufail, et al.
Journal of Electronic Imaging (2022) Vol. 31, Iss. 05
Closed Access | Times Cited: 4
Generation of Controlled Synthetic Samples and Impact of Hyper-Tuning Parameters to Effectively Classify the Complex Structure of Overlapping Region
Zafar Mahmood, Naveed Anwer Butt, Ghani Ur Rehman, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8371-8371
Open Access | Times Cited: 3
Hybrid model for detection of brain tumor using convolution neural networks
K. Bhagyalaxmi, B. Dwarakanath
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 78-84
Open Access
End-to-End Multi-task Learning Architecture for Brain Tumor Analysis with Uncertainty Estimation in MRI Images
Maria Nazir, Sadia Shakil, Khurram Khurshid
Deleted Journal (2024)
Closed Access
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