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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 1-25 of 117 citing articles:

Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images
Chetana Srinivas, Nandini Prasad K. S., Mohammed Zakariah, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 189
Classification and Analysis of Pistachio Species with Pre-Trained Deep Learning Models
Dilbag Singh, Yavuz Selim Taşpınar, Ramazan Kursun, et al.
Electronics (2022) Vol. 11, Iss. 7, pp. 981-981
Open Access | Times Cited: 73
Weighted Average Ensemble Deep Learning Model for Stratification of Brain Tumor in MRI Images
Vatsala Anand, Sheifali Gupta, Deepali Gupta, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1320-1320
Open Access | Times Cited: 64
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
Muhammad Attique Khan, V. Rajinikanth, Suresh Chandra Satapathy, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2208-2208
Open Access | Times Cited: 99
Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices
V. Rajinikanth, Seifedine Kadry, Yunyoung Nam
Information Technology And Control (2021) Vol. 50, Iss. 2, pp. 342-356
Open Access | Times Cited: 67
Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features
Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7710-7710
Open Access | Times Cited: 57
Black-Box Testing of Deep Neural Networks through Test Case Diversity
Zohreh Aghababaeyan, Manel Abdellatif, Lionel Briand, et al.
IEEE Transactions on Software Engineering (2023) Vol. 49, Iss. 5, pp. 3182-3204
Open Access | Times Cited: 37
Tumor Localization and Classification from MRI of Brain using Deep Convolution Neural Network and Salp Swarm Algorithm
Jaber Alyami, Amjad Rehman, Fahad Almutairi, et al.
Cognitive Computation (2023) Vol. 16, Iss. 4, pp. 2036-2046
Closed Access | Times Cited: 28
Brain tumor diagnosis from MRI based on Mobilenetv2 optimized by contracted fox optimization algorithm
Lu Xu, Morteza Mohammadi
Heliyon (2023) Vol. 10, Iss. 1, pp. e23866-e23866
Open Access | Times Cited: 21
Early detection of brain tumors: Harnessing the power of GRU networks and hybrid dwarf mongoose optimization algorithm
Yang Yuxia, Chaoluomeng, Navid Razmjooy
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106093-106093
Closed Access | Times Cited: 13
3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data
Sadiq Alinsaif, Jochen Lang
Computers in Biology and Medicine (2021) Vol. 138, pp. 104879-104879
Open Access | Times Cited: 52
Automated segmentation of leukocyte from hematological images—a study using various CNN schemes
Seifedine Kadry, V. Rajinikanth, David Taniar, et al.
The Journal of Supercomputing (2021) Vol. 78, Iss. 5, pp. 6974-6994
Open Access | Times Cited: 52
Underwater ghost imaging based on generative adversarial networks with high imaging quality
Xu Yang, Zhongyang Yu, Lu Xu, et al.
Optics Express (2021) Vol. 29, Iss. 18, pp. 28388-28388
Open Access | Times Cited: 41
A Deep Learning Approach for Detecting Stroke from Brain CT Images Using OzNet
Öznur Özaltın, Orhan Coskun, Özgür Yeniay, et al.
Bioengineering (2022) Vol. 9, Iss. 12, pp. 783-783
Open Access | Times Cited: 33
An image and text-based multimodal model for detecting fake news in OSN’s
Santosh Kumar Uppada, Parth Patel, B. Sivaselvan
Journal of Intelligent Information Systems (2022) Vol. 61, Iss. 2, pp. 367-393
Open Access | Times Cited: 28
Implementing Magnetic Resonance Imaging Brain Disorder Classification via AlexNet–Quantum Learning
Naif Alsharabi, Tayyaba Shahwar, Ateeq Ur Rehman, et al.
Mathematics (2023) Vol. 11, Iss. 2, pp. 376-376
Open Access | Times Cited: 20
An Integrated Framework of Two-Stream Deep Learning Models Optimal Information Fusion for Fruits Disease Recognition
Unber Zahra, Muhammad Attique Khan, Majed Alhaisoni, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 3038-3052
Open Access | Times Cited: 17
Multi-class Classification of Class Imbalanced Skin Lesion Dataset Using a Modified SMOTE-ENN Gabor-Enhanced VGG-19 Architecture
Madhusmita Sahoo, Rajeswari Sridhar
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Incremental Dilations Using CNN for Brain Tumor Classification
Sanjiban Sekhar Roy, Nishant Rodrigues, Y‐h. Taguchi
Applied Sciences (2020) Vol. 10, Iss. 14, pp. 4915-4915
Open Access | Times Cited: 40
Extraction of Abnormal Skin Lesion from Dermoscopy Image using VGG-SegNet
Seifedine Kadry, David Taniar, Robertas Damaševičius, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 34
Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images
Ajay Sharma, Pramod Kumar Mishra
Multimedia Tools and Applications (2022) Vol. 81, Iss. 29, pp. 42649-42690
Open Access | Times Cited: 27
Skin Melanoma Segmentation using VGG-UNet with Adam/SGD Optimizer: A Study
V. Rajinikanth, Seifedine Kadry, Robertas Damaševičius, et al.
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) (2022), pp. 982-986
Closed Access | Times Cited: 22
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images
Sahar Gull, Shahzad Akbar, Syed Muhammad Naqi
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 5, pp. 1745-1766
Closed Access | Times Cited: 13
TumorDetNet: A unified deep learning model for brain tumor detection and classification
Naeem Ullah, Ali Javed, Ali Alhazmi, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291200-e0291200
Open Access | Times Cited: 12
Two-Stage Efficient Parking Space Detection Method Based on Deep Learning and Computer Vision
Junzhe Jiang, R. Tang, Wenjing Kang, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1004-1004
Open Access
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