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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:

Magnetic resonance brain classification by a novel binary particle swarm optimization with mutation and time-varying acceleration coefficients
Shuihua Wang‎, Preetha Phillips, Jianfei Yang, et al.
Biomedical Engineering / Biomedizinische Technik (2016) Vol. 61, Iss. 4, pp. 431-441
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization
Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, et al.
Computation (2019) Vol. 7, Iss. 1, pp. 12-12
Open Access | Times Cited: 146
25 Years of Particle Swarm Optimization: Flourishing Voyage of Two Decades
Janmenjoy Nayak, H. Swapnarekha, Bighnaraj Naik, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1663-1725
Closed Access | Times Cited: 122
Particle swarm optimizer with crossover operation
Yonggang Chen, Lixiang Li, Jinghua Xiao, et al.
Engineering Applications of Artificial Intelligence (2018) Vol. 70, pp. 159-169
Closed Access | Times Cited: 123
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
Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization
Mohamed Abdel‐Basset, Ahmed Fakhry, Ibrahim Elhenawy, et al.
Journal of Medical Systems (2017) Vol. 41, Iss. 12
Closed Access | Times Cited: 79
Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method
Yudong Zhang, Xianqing Chen, Tianming Zhan, et al.
IEEE Access (2016) Vol. 4, pp. 5937-5947
Open Access | Times Cited: 75
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
A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, et al.
Biomedical Signal Processing and Control (2020) Vol. 58, pp. 101860-101860
Closed Access | Times Cited: 50
Exploring a smart pathological brain detection method on pseudo Zernike moment
Yudong Zhang, Yongyan Jiang, Wei‐Guo Zhu, et al.
Multimedia Tools and Applications (2017) Vol. 77, Iss. 17, pp. 22589-22604
Closed Access | Times Cited: 56
Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, et al.
Expert Systems with Applications (2017) Vol. 88, pp. 152-164
Closed Access | Times Cited: 50
Electrocardiogram signal compression using tunable-Q wavelet transform and meta-heuristic optimization techniques
Hardev Singh Pal, Anil Kumar, Amit Vishwakarma, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103932-103932
Closed Access | Times Cited: 25
An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification
Yu‐Dong Zhang, Jing Wang, Chen‐Jiang Wu, et al.
Oncotarget (2016) Vol. 7, Iss. 47, pp. 78140-78151
Open Access | Times Cited: 44
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
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
An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications
Fei Ye, Xin Lou, Lin Sun
PLoS ONE (2017) Vol. 12, Iss. 4, pp. e0173516-e0173516
Open Access | Times Cited: 34
Hiding medical information in brain MR images without affecting accuracy of classifying pathological brain
S. Nirmala Devi, Manmath Narayan Sahoo, Khan Muhammad, et al.
Future Generation Computer Systems (2019) Vol. 99, pp. 235-246
Closed Access | Times Cited: 26
Optimized control for medical image segmentation: improved multi-agent systems agreements using Particle Swarm Optimization
Hanane Allioui, Mohamed Sadgal, Abdelaziz El Fazziki
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 12, Iss. 9, pp. 8867-8885
Closed Access | Times Cited: 20
Gray level co-occurrence matrix and extreme learning machine for Alzheimer's disease diagnosis
Shuangshuang Gao
International Journal of Cognitive Computing in Engineering (2021) Vol. 2, pp. 116-129
Open Access | Times Cited: 20
A Novel Improved GSA-BPSO Driven PID Controller for Load Frequency Control of Multi-Source Deregulated Power System
Ajay Kumar, Deepak Kumar Gupta, Sriparna Roy Ghatak, et al.
Mathematics (2022) Vol. 10, Iss. 18, pp. 3255-3255
Open Access | Times Cited: 15
Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features
Deepak Ranjan Nayak, Ratnakar Dash, Xiaojun Chang, et al.
IEEE Transactions on Sustainable Computing (2018) Vol. 5, Iss. 3, pp. 416-427
Closed Access | Times Cited: 25
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, et al.
Computerized Medical Imaging and Graphics (2019) Vol. 77, pp. 101656-101656
Closed Access | Times Cited: 25
Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential Buildings
Krzysztof Grygierek, Joanna Ferdyn-Grygierek
Sensors (2018) Vol. 18, Iss. 4, pp. 1144-1144
Open Access | Times Cited: 24
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
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
AI in Educational Technology
Ting Zhao
(2023)
Open Access | Times Cited: 6
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