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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:

Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI
Anindya Halder, Nur Alom Talukdar
Magnetic Resonance Imaging (2019) Vol. 62, pp. 129-151
Closed Access | Times Cited: 17

Showing 17 citing articles:

Efficiency of machine learning algorithms and convolutional neural network for detection of pathological changes in MR images of the brain
Yu.D. Agafonova, Andrey Gaidel, P. M. Zelter, et al.
Computer Optics (2020) Vol. 44, Iss. 2
Open Access | Times Cited: 30
A novel intuitionistic fuzzy soft set entrenched mammogram segmentation under Multigranulation approximation for breast cancer detection in early stages
Swarup Kr Ghosh, Anirban Mitra, Anupam Ghosh
Expert Systems with Applications (2020) Vol. 169, pp. 114329-114329
Closed Access | Times Cited: 29
An Analytical Review on Rough Set Based Image Clustering
Krishna Gopal Dhal, Arunita Das, Swarnajit Ray, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 3, pp. 1643-1672
Closed Access | Times Cited: 16
Brain tissue segmentation for medical decision support systems
Magudeeswaran Veluchamy, Bharath Subramani
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 2, pp. 1851-1868
Closed Access | Times Cited: 16
A new approach based on exponential entropy with modified kernel fuzzy c-means clustering for MRI brain segmentation
Chaimae Ouchicha, Ouafae Ammor, Mohammed Meknassi
Evolutionary Intelligence (2022) Vol. 16, Iss. 2, pp. 651-665
Closed Access | Times Cited: 9
Particle Competitive Mechanism Based Multiobjective Rough Clustering Algorithm for Image Segmentation
Feng Zhao, Lulu Cao, Hanqiang Liu, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 30, Iss. 10, pp. 4127-4141
Closed Access | Times Cited: 9
Machine learning in neuro-oncology: toward novel development fields
Vincenzo Di Nunno, Mario Fordellone, Giuseppe Minniti, et al.
Journal of Neuro-Oncology (2022) Vol. 159, Iss. 2, pp. 333-346
Closed Access | Times Cited: 7
Whole brain segmentation with full volume neural network
Yeshu Li, Jonathan Cui, Yilun Sheng, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 93, pp. 101991-101991
Open Access | Times Cited: 9
Meningioma Detection in MR Images Using Convolutional Neural Network and Computer Vision Methods
Yulia D. Agafonova, Andrey Gaidel, E.N. Surovtsev, et al.
Journal of Biomedical Photonics & Engineering (2020), pp. 030301-030301
Open Access | Times Cited: 5
Rough Spatial Ensemble Kernelized Fuzzy C Means Clustering for Robust Brain MR Image Tissue Segmentation
Amiya Halder, Rudrajit Choudhuri, Arinjay Bhowmick
Communications in computer and information science (2024), pp. 350-363
Closed Access
A novel fuzzy clustering algorithm based on rough set and inhibitive factor
Leiyu Tang, Chenxi Wang, Shudong Wang, et al.
Concurrency and Computation Practice and Experience (2020) Vol. 33, Iss. 6
Closed Access | Times Cited: 4
Adaptive Rough-Fuzzy Kernelized Clustering Algorithm for Noisy Brain MRI Tissue Segmentation
Rudrajit Choudhuri, Amiya Halder
Communications in computer and information science (2022), pp. 561-573
Closed Access | Times Cited: 3
Partially Supervised Kernel Induced Rough Fuzzy Clustering for Brain Tissue Segmentation
Nur Alom Talukdar, Anindya Halder
Pattern Recognition and Image Analysis (2021) Vol. 31, Iss. 1, pp. 91-102
Closed Access | Times Cited: 4
Kernel induced semi-supervised spatial clustering: a novel brain MRI segmentation technique
Anindya Halder, Nur Alom Talukdar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 49213-49241
Closed Access | Times Cited: 1
Brain tissue magnetic resonance imaging segmentation using anisotropic textural features
Afrooz Arzehgar, Fatemeh Davarinia, Mohammad Mahdi Khalilzadeh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 49195-49212
Closed Access | Times Cited: 1
Value of Magnetic Resonance Images and Magnetic Resonance Spectroscopy in Diagnosis of Brain Tumors under Fuzzy C-Means Algorithm
Huaiqin Liu, Qi Zhang, Shujun Niu, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 2
COMPARISON ON AUTOMATED BRAIN TUMOR DETECTION AND SEGMENTATION APPROACHES FOR MRI BRAIN IMAGES
P. Sirisha, D. Haritha
i-manager’s Journal on Image Processing (2019) Vol. 6, Iss. 3, pp. 24-24
Closed Access
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