Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, et al.
Computers & Electrical Engineering (2018) Vol. 68, pp. 366-380
Closed Access | Times Cited: 49

Showing 26-50 of 49 citing articles:

Sine cosine algorithm with peer learning for global numerical optimization
Jiatang Cheng, Qiuhong Lin, Yan Xiong
Engineering Optimization (2024), pp. 1-18
Closed Access | Times Cited: 2
Application of Extreme Learning Machine for Predicting Chlorophyll-a Concentration Inartificial Upwelling Processes
Yan Wei, Haocai Huang, Bin Chen, et al.
Mathematical Problems in Engineering (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 22
Diversity-enhanced modified sine cosine algorithm and its application in solving engineering design problems
Shubham Gupta, Rong Su
Journal of Computational Science (2023) Vol. 72, pp. 102105-102105
Open Access | Times Cited: 6
Enhanced sine cosine algorithm with crossover: A comparative study and empirical analysis
Shubham Gupta
Expert Systems with Applications (2022) Vol. 198, pp. 116856-116856
Closed Access | Times Cited: 10
CSCAHHO: Chaotic hybridization algorithm of the Sine Cosine with Harris Hawk optimization algorithms for solving global optimization problems
Yu-Jun Zhang, Yuxin Yan, Juan Zhao, et al.
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0263387-e0263387
Open Access | Times Cited: 10
Cloud model based sine cosine algorithm for solving optimization problems
Jiatang Cheng, Zhimei Duan
Evolutionary Intelligence (2019) Vol. 12, Iss. 4, pp. 503-514
Closed Access | Times Cited: 16
A Double Adaptive Random Spare Reinforced Sine Cosine Algorithm
Abdelazim G. Hussien, Guoxi Liang, Huiling Chen, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2267-2289
Open Access | Times Cited: 6
Transformer Fault Diagnosis Based on an Improved Sine Cosine Algorithm and BP Neural Network
岩間 一雄, Jiatang Cheng, Zhichao Feng
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) (2022) Vol. 15, Iss. 6, pp. 502-510
Closed Access | Times Cited: 5
Texture-Dependent Optimal Fractional-Order Framework for Image Quality Enhancement Through Memetic Inclusions in Cuckoo Search and Sine-Cosine Algorithms
Himanshu Singh, Anil Kumar, L. K. Balyan, et al.
Studies in computational intelligence (2019), pp. 19-45
Closed Access | Times Cited: 5
EfficientNet and mixed convolution network for three-class brain tumor magnetic resonance image classification
Bala Venkateswarlu Isunuri, Jagadeesh Kakarla
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10741-10750
Closed Access
A hybrid algorithm based on improved sine cosine algorithm and population incremental learning and its application to economic load dispatch in power systems
Aoshuang Ye, Yichao Li, Dong Xu, et al.
AIMS energy (2024) Vol. 12, Iss. 6, pp. 1294-1333
Open Access
A Novel Hybrid Multi-Verse Optimizer with Sine Cosine Algorithm for Global Optimization
Vu Hong Son Pham, Nghiep Trinh Nguyen Dang
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Brain Tumor Grade Detection Using Transfer Learning and Residual Multi-head Attention Network
Jagadeesh Kakarla, Bala Venkateswarlu Isunuri
Communications in computer and information science (2023), pp. 205-215
Closed Access | Times Cited: 1
An improved sine–cosine algorithm with dynamic selection pressure
Wenjuan He, Bing Wang, Ning Li, et al.
Journal of Computational Science (2021) Vol. 55, pp. 101477-101477
Closed Access | Times Cited: 3
Development of Hybrid Extreme Learning Machine for Classification of Brain MRIs
Pranati Satapathy, Sateesh Kumar Pradhan, Sarbeswara Hota
Smart innovation, systems and technologies (2020), pp. 289-296
Closed Access | Times Cited: 1
Assessing the Chaotic Map Population Initializations for Sine Cosine Algorithm Using the Case Study of Pairwise Test Suite Generation
Fakhrud Din, Kamal Z. Zamli, Abdullah B. Nasser
Lecture notes in electrical engineering (2022), pp. 371-380
Closed Access | Times Cited: 1
Designing of Financial Time Series Forecasting Model Using Stochastic Algorithm Based Extreme Learning Machine
Sarbeswara Hota, Arup Kumar Mohanty, Debahuti Mishra, et al.
Smart innovation, systems and technologies (2022), pp. 363-369
Closed Access | Times Cited: 1
A chaotic sine cosine algorithm with crossover operator for microgrid energy scheduling considering uncertainty
Chenye Qiu, Huixing Fang, Ning Liu
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 5, pp. 6805-6819
Closed Access | Times Cited: 1
An improved sine cosine algorithm with greedy selection for global optimization
Linyun Ma, Chen Jin, Ying Tong, et al.
Research Square (Research Square) (2023)
Open Access
An Improved Sine Cosine Algorithm
Congqian Wang, Shasha Wang, Xuelei He
(2023), pp. 248-252
Closed Access
An Automatic Classification of Magnetic Resonance Brain Images Using Machine Learning Techniques
R. Murugan
Lecture notes in electrical engineering (2019), pp. 463-472
Closed Access
An Empirical Performance Analysis of Brain Image Classification Models Using Variants of Neural Networks
Pranati Satapathy, Sateesh Kumar Pradhan, Sarbeswara Hota
(2019), pp. 87-91
Closed Access
Exploring the Extreme Learning Machine for Classification of Brain MRIs
Pranati Satapathy, Sarbeswara Hota, Sateesh Kumar Pradhan
International Journal of Engineering and Advanced Technology (2019) Vol. 9, Iss. 2, pp. 3654-3657
Open Access
Automated Detection of Brain Abnormalities Using Multi-Directional Features and Randomized Learning
Deepak Ranjan Nayak, Dibyasundar Das, Ratnakar Dash, et al.
Advances in healthcare information systems and administration book series (2020), pp. 20-41
Closed Access
Previous Page - Page 2

Scroll to top