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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 Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection
V. Rajinikanth, Alex Noel Joseph Raj, Palani Thanaraj Krishnan, et al.
Applied Sciences (2020) Vol. 10, Iss. 10, pp. 3429-3429
Open Access | Times Cited: 117

Showing 51-75 of 117 citing articles:

A Novel Hybrid Deep Learning Framework for Detection and Categorization of Brain Tumor from Magnetic Resonance Images
Yousef Methkal Abd Algani, B. Nageswara Rao, Chamandeep Kaur, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 2
Open Access | Times Cited: 6
Tumor-Net: convolutional neural network modeling for classifying brain tumors from MRI images
Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Sabina Yesmin, et al.
International Journal of Advances in Intelligent Informatics (2023) Vol. 9, Iss. 2, pp. 148-148
Open Access | Times Cited: 6
Detection of monkeypox disease from skin lesion images using Mobilenetv2 architecture
Öznur Özaltın, Özgür Yeniay
Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics (2023) Vol. 72, Iss. 2, pp. 482-499
Open Access | Times Cited: 6
PV resource evaluation based on Xception and VGG19 two-layer network algorithm
Lifeng Li, Zaimin Yang, Xiongping Yang, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21450-e21450
Open Access | Times Cited: 6
JMCD Dataset for Brain Tumor Detection and Analysis Using Explainable Deep Learning
Aryan Verma, Nidhi Gupta, Pushpraj Bhatele, et al.
SN Computer Science (2023) Vol. 4, Iss. 6
Closed Access | Times Cited: 6
Super-Resolution Reconstruction of CT Images Based on Multi-scale Information Fused Generative Adversarial Networks
Xiaobao Liu, Shuailin Su, Wenjuan Gu, et al.
Annals of Biomedical Engineering (2023) Vol. 52, Iss. 1, pp. 57-70
Closed Access | Times Cited: 6
Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks
Rangel Shida Marinho, Alysson Alexander Naves Silva, Clíssia Barboza da Silva, et al.
Ecological Informatics (2023) Vol. 78, pp. 102382-102382
Closed Access | Times Cited: 5
Image fusion practice to improve the ischemic-stroke-lesion detection for efficient clinical decision making
D. Jude Hemanth, V. Rajinikanth, V. Seshagiri Rao, et al.
Evolutionary Intelligence (2021) Vol. 14, Iss. 2, pp. 1089-1099
Closed Access | Times Cited: 12
A Comparative Analysis and Visualizable of MRI Image Type-Based Brain Tumor Classification Using Transfer Learning Models
Md. Atikur Rahman, Arpita Ghosh, Md Shohanur Rahman, et al.
(2024), pp. 7-12
Closed Access | Times Cited: 1
Brain Tumor Segmentation and Classification Using CNN Pre-Trained VGG-16 Model in MRI Images
T. Gayathri, Sundeep Kumar K.
IIUM Engineering Journal (2024) Vol. 25, Iss. 2, pp. 196-211
Open Access | Times Cited: 1
Brain Tumor Classification of MRI Scans using Deep Learning Techniques
Ayesha Agrawal, Vinod Maan
(2024), pp. 1128-1133
Closed Access | Times Cited: 1
Advanced imaging technique-based brain tumor segmentation using ResNET-50 CNN
Sajjad Hussain, Tayyaba Naz, Muhammad Shakeel, et al.
AIP conference proceedings (2024) Vol. 3161, pp. 020156-020156
Closed Access | Times Cited: 1
Automated Detection of Schizophrenia from Brain MRI Slices using Optimized Deep-Features
Seifedine Kadry, David Taniar, Robertas Damaševičius, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 11
Comparative study of ensemble models of deep convolutional neural networks for crop pests classification
Zhongbin Su, Jiaqi Luo, Yue Wang, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 19, pp. 29567-29586
Open Access | Times Cited: 4
Deep Learning Approaches for Automated Diagnosis of COVID-19 Using Imbalanced Training CXR Data
Ajay Sharma, Pramod Kumar Mishra
Communications in computer and information science (2022), pp. 453-472
Closed Access | Times Cited: 6
Comparative Analysis on Available Technique for the Detection of Covid-19 through CT-Scan and X-Ray using Machine Learning: A Systematic Review
Vinayak Majhi, Sudip Paul
(2023)
Open Access | Times Cited: 3
Artificial intelligence-based brain hemorrhage detection
Öznur Özaltın, Özgür Yeniay, Abdülhamit Subaşı
Elsevier eBooks (2023), pp. 179-199
Closed Access | Times Cited: 3
Fourier Single-Pixel Imaging Based on Online Modulation Pattern Binarization
Xinding Jiang, Ziyi Tong, Zhongyang Yu, et al.
Photonics (2023) Vol. 10, Iss. 9, pp. 963-963
Open Access | Times Cited: 3
SceneNet: A Multifeature Joint Embedding Network With Complexity Assessment for Power Line Scene Classification
Le Zhao, Hongtai Yao, Yajun Fan, et al.
IEEE Transactions on Aerospace and Electronic Systems (2023) Vol. 59, Iss. 6, pp. 9094-9116
Closed Access | Times Cited: 3
PRCnet: An Efficient Model for Automatic Detection of Brain Tumor in MRI Images
Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Deep Learning and Improved Particle Swarm Optimization Based Multimodal Brain Tumor Classification
Ayesha Bin T. Tahir, Muhamamd Attique Khan, Majed Alhaisoni, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 68, Iss. 1, pp. 1099-1116
Closed Access | Times Cited: 8
Automated Segmentation of COVID-19 Lesion from Lung CT Images Using U-Net Architecture
Seifedine Kadry, Fadi Al‐Turjman, V. Rajinikanth
Springer eBooks (2021), pp. 20-30
Closed Access | Times Cited: 7
Segmentation-based multi-scale attention model for KRAS mutation prediction in rectal cancer
Kai Song, Zijuan Zhao, Jiawen Wang, et al.
International Journal of Machine Learning and Cybernetics (2021) Vol. 13, Iss. 5, pp. 1283-1299
Closed Access | Times Cited: 7
Imagined Object Recognition Using EEG-Based Neurological Brain Signals
Rajkumar Saini, Sameer M. Prabhu, Richa Upadhyay, et al.
Communications in computer and information science (2022), pp. 305-319
Closed Access | Times Cited: 5
Deep Neural Networks for Brain Tumor Detection from MRI Images
Md. Kawsher Mahbub, Milon Biswas, Md. Abdul Mozid Miah, et al.
Lecture notes in networks and systems (2022), pp. 473-485
Closed Access | Times Cited: 5

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