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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:

Glioma extraction from MR images employing Gradient Based Kernel Selection Graph Cut technique
Jyotsna Dogra, Shruti Jain, Meenakshi Sood
The Visual Computer (2019) Vol. 36, Iss. 5, pp. 875-891
Closed Access | Times Cited: 13

Showing 13 citing articles:

Brain tumor classification based on hybrid approach
Wadhah Ayadi, Imen Charfi, Wajdi Elhamzi, et al.
The Visual Computer (2020) Vol. 38, Iss. 1, pp. 107-117
Closed Access | Times Cited: 76
MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification
Ahmed I. Shahin, Walaa Aly, Saleh Aly
Expert Systems with Applications (2022) Vol. 212, pp. 118776-118776
Closed Access | Times Cited: 38
Genetic programming-based fusion of HOG and LBP features for fully automated texture classification
Mohamed Hazgui, Haythem Ghazouani, Walid Barhoumi
The Visual Computer (2021) Vol. 38, Iss. 2, pp. 457-476
Closed Access | Times Cited: 40
Classification and Pathologic Diagnosis of Gliomas in MR Brain Images
Meenakshi Sood, Shruti Jain, Jyotsna Dogra
Procedia Computer Science (2023) Vol. 218, pp. 706-717
Open Access | Times Cited: 9
Active contour model driven by optimized energy functionals for MR brain tumor segmentation with intensity inhomogeneity correction
Sangeetha Saman, Swathi Jamjala Narayanan
Multimedia Tools and Applications (2021) Vol. 80, Iss. 14, pp. 21925-21954
Closed Access | Times Cited: 22
Automated brain tumor identification using magnetic resonance imaging: A systematic review and meta-analysis
Omar Kouli, A Hassane, Dania Badran, et al.
Neuro-Oncology Advances (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 15
Glioma classification via MR images radiomics analysis
Hajer Ouerghi, Olfa Mourali, Ezzeddine Zagrouba
The Visual Computer (2021) Vol. 38, Iss. 4, pp. 1427-1441
Closed Access | Times Cited: 16
A Comparative Study of Traditional Image Fusion Techniques with a Novel Hybrid Method
Bandana Pal, Surya Mahajan, Shruti Jain
2021 International Conference on Computational Performance Evaluation (ComPE) (2020)
Closed Access | Times Cited: 13
Multi-sensor Image Fusion Using Intensity Hue Saturation Technique
Shruti Jain, Mohit Sachdeva, Parth Dubey, et al.
Communications in computer and information science (2019), pp. 147-157
Closed Access | Times Cited: 10
Novel seed selection techniques for MR brain image segmentation using graph cut
Jyotsna Dogra, Shruti Jain, Meenakshi Sood
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2019) Vol. 8, Iss. 4, pp. 389-399
Closed Access | Times Cited: 7
A texture-based 3D region growing approach for segmentation of ICA through the skull base in CTA
Ferhat Bozkurt, Cemal Köse, Ahmet Sarı
Multimedia Tools and Applications (2020) Vol. 79, Iss. 43-44, pp. 33253-33278
Closed Access | Times Cited: 5
A novel compound-based loss function for glioma segmentation with deep learning
Radhika Malhotra, Barjinder Singh Saini, Savita Gupta
Optik (2022) Vol. 265, pp. 169443-169443
Closed Access | Times Cited: 3
Automated Multimodal Brain Tumor Classification Using a YOLOv7 Approach
S. Berlin Shaheema, Naresh Babu Muppalaneni
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2023), pp. 35-40
Closed Access | Times Cited: 1
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