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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:

Pathological brain detection using curvelet features and least squares SVM
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Multimedia Tools and Applications (2016) Vol. 77, Iss. 3, pp. 3833-3856
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Convolutional neural networks for multi-class brain disease detection using MRI images
Muhammed Talo, Özal Yıldırım, Ulaş Baran Baloğlu, et al.
Computerized Medical Imaging and Graphics (2019) Vol. 78, pp. 101673-101673
Open Access | Times Cited: 265
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Biomedical Signal Processing and Control (2020) Vol. 59, pp. 101912-101912
Closed Access | Times Cited: 115
A hybrid image enhancement based brain MRI images classification technique
Zahid Ullah, Muhammad Umar Farooq, Su-Hyun Lee, et al.
Medical Hypotheses (2020) Vol. 143, pp. 109922-109922
Closed Access | Times Cited: 107
Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study
Anjan Gudigar, U. Raghavendra, Ru San Tan, et al.
Future Generation Computer Systems (2018) Vol. 90, pp. 359-367
Closed Access | Times Cited: 100
Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Neurocomputing (2017) Vol. 282, pp. 232-247
Closed Access | Times Cited: 65
Computer-aided diagnosis applied to MRI images of brain tumor using cognition based modified level set and optimized ANN classifier
Virupakshappa Virupakshappa, Basavaraj Amarapur
Multimedia Tools and Applications (2018) Vol. 79, Iss. 5-6, pp. 3571-3599
Closed Access | Times Cited: 58
Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study
Anjan Gudigar, U. Raghavendra, Edward J. Ciaccio, et al.
IEEE Access (2019) Vol. 7, pp. 28498-28509
Open Access | Times Cited: 47
Three‐class classification of brain magnetic resonance images using average‐pooling convolutional neural network
Jagadeesh Kakarla, Bala Venkateswarlu Isunuri, Krishna Sai Doppalapudi, et al.
International Journal of Imaging Systems and Technology (2021) Vol. 31, Iss. 3, pp. 1731-1740
Closed Access | Times Cited: 39
Brain tumor segmentation and classification in MRI using SVM and its variants: a survey
Sonia Vadhnani, Navjot Singh
Multimedia Tools and Applications (2022) Vol. 81, Iss. 22, pp. 31631-31656
Closed Access | Times Cited: 23
Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images
Deepak Ranjan Nayak, Dibyasundar Das, Ratnakar Dash, et al.
Multimedia Tools and Applications (2019) Vol. 79, Iss. 21-22, pp. 15381-15396
Closed Access | Times Cited: 42
A comprehensive review of denoising techniques for abdominal CT images
Ravinder Kaur, Mamta Juneja, Amit Kumar Mandal
Multimedia Tools and Applications (2018) Vol. 77, Iss. 17, pp. 22735-22770
Closed Access | Times Cited: 41
Brain pathology identification using computer aided diagnostic tool: A systematic review
Anjan Gudigar, U. Raghavendra, Ajay Hegde, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 187, pp. 105205-105205
Closed Access | Times Cited: 30
A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images
Varun Srivastava, Ravindra Kumar Purwar
Applied Computational Intelligence and Soft Computing (2017) Vol. 2017, pp. 1-9
Open Access | Times Cited: 26
Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Multimedia Tools and Applications (2017) Vol. 77, Iss. 17, pp. 22705-22733
Closed Access | Times Cited: 22
MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection
Deepak Ranjan Nayak, Yudong Zhang, Dibyasundar Das, et al.
Applied Soft Computing (2019) Vol. 83, pp. 105626-105626
Open Access | Times Cited: 20
Multiple sclerosis identification in brainMRIimages using wavelet convolutional neural networks
Ali Alijamaat, Alireza Nikravanshalmani, Peyman Bayat
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 2, pp. 778-785
Closed Access | Times Cited: 20
Segmentation Method of Deterministic Feature Clustering for Identification of Brain Tumor Using MRI
Khurram Ejaz, Norhaida Mohd Suaib, Mohammad Shahid Kamal, et al.
IEEE Access (2023) Vol. 11, pp. 39695-39712
Open Access | Times Cited: 6
Synergy Factorized Bilinear Network with a Dual Suppression Strategy for Brain Tumor Classification in MRI
Guanghua Xiao, Huibin Wang, Jie Shen, et al.
Micromachines (2021) Vol. 13, Iss. 1, pp. 15-15
Open Access | Times Cited: 14
An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Journal of Medical Systems (2017) Vol. 42, Iss. 1
Closed Access | Times Cited: 15
An MRI brain disease classification system using PDFB-CT and GLCM with kernel-SVM for medical decision support
Yubraj Gupta, Ramesh Kumar Lama, Sang‐Woong Lee, et al.
Multimedia Tools and Applications (2020) Vol. 79, Iss. 43-44, pp. 32195-32224
Closed Access | Times Cited: 13
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine
Umesh Gupta, Deepak Gupta, Mukesh Prasad
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2018), pp. 228-235
Closed Access | Times Cited: 14
Brain tumor segmentation using double density dual tree complex wavelet transform combined with convolutional neural network and genetic algorithm
Ridha Sefina Samosir, Edi Abdurachman, Ford Lumban Gaol, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 11, Iss. 4, pp. 1373-1373
Open Access | Times Cited: 6
Multi class disorder detection of magnetic resonance brain images using composite features and neural network
Vandana V. Kale, Satish T. Hamde, Raghunath S. Holambe
Biomedical Engineering Letters (2019) Vol. 9, Iss. 2, pp. 221-231
Open Access | Times Cited: 9
Activation Functions Evaluation to Improve Performance of Convolutional Neural Network in Brain Disease Classification Based on Magnetic Resonance Images
Dewinda Julianensi Rumala, Eko Mulyanto Yuniarno, Reza Fuad Rachmadi, et al.
(2020), pp. 402-407
Closed Access | Times Cited: 8
Robust watermarking in curvelet domain for preserving cleanness of high-quality images
Wook‐Hyung Kim, Seung-Hun Nam, Jihyeon Kang, et al.
Multimedia Tools and Applications (2019) Vol. 78, Iss. 12, pp. 16887-16906
Closed Access | Times Cited: 8
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