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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 Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, et al.
Lecture notes in computer science (2019), pp. 170-179
Closed Access | Times Cited: 38

Showing 26-50 of 38 citing articles:

Brain Image Segmentation to Diagnose Tumor by Applying Wiener Filter and Intelligent Water Drop Algorithm
Ashish Kumar Dehariya, Pragya Shukla
International Journal of Computer Theory and Engineering (2021) Vol. 13, Iss. 3, pp. 84-90
Open Access | Times Cited: 8
Automatic Brain Tumor Detection From MRI Using Curvelet Transform and Neural Features
Rafid Mostafiz, Mohammad Shorif Uddin, Iffat Jabin, et al.
International Journal of Ambient Computing and Intelligence (2022) Vol. 13, Iss. 1, pp. 1-18
Closed Access | Times Cited: 4
Fuzzy volumetric delineation of brain tumor and survival prediction
Saumya Bhadani, Sushmita Mitra, Subhashis Banerjee
Soft Computing (2020) Vol. 24, Iss. 17, pp. 13115-13134
Closed Access | Times Cited: 5
Radiogenomic analysis: 1p/19q codeletion based subtyping of low-grade glioma by analysing advanced biomedical texture descriptors
Sonal Gore, Jayant Jagtap
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 10, pp. 8449-8458
Open Access | Times Cited: 5
An automatic brain tumor segmentation using modified inception module based U-Net model
K. Sambath Kumar, A. Rajendran
Journal of Intelligent & Fuzzy Systems (2021) Vol. 42, Iss. 3, pp. 2743-2754
Closed Access | Times Cited: 5
A hybrid CNN-FC approach for automatic grading of brain tumors from non-invasive MRIs
B Divya, Rajesh Nair, K Prakashini, et al.
(2024), pp. 99-104
Closed Access
Brain tumour segmentation with a U-Net based GaN model using multi-modal MRI images
Arjun Paramarthalingam, Ashokkumar Janarthanan, Amirthasaravanan Arivunambi, et al.
AIP conference proceedings (2024) Vol. 3075, pp. 020219-020219
Closed Access
Fine-Tuning based Deep Transfer Learning System used to Identify the Stage of Brain Tumour from MR-Images
Neelima Pilli, Perumalla Nikilish, Shiva Shankar Reddy
(2023), pp. 1003-1011
Closed Access | Times Cited: 1
Role of Transfer Learning in Glioma Grading
Ranjana Joshi, Munesh Chandra Trivedi, Vishal Goyal, et al.
Lecture notes in networks and systems (2022), pp. 15-22
Closed Access | Times Cited: 2
Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI
Abu Kaisar Mohammad Masum, Nusrat Badhon, S.M. Saiful Islam Badhon, et al.
(2023), pp. 697-702
Open Access
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
Ruqian Hao, Khashayar Namdar, Lin Liu, et al.
arXiv (Cornell University) (2020)
Open Access
A Review on an Efficient Technique for Detection and Classification of Early Stage Tumor
Sangeeta Malik, H. Nagendra
International Journal of New Technology and Research (2020) Vol. 6, Iss. 10
Open Access
Design and Development of Brain Tumor Classification and Staging Model Using a Deep Learning Approach
Mayuri Kamate, G Shruthi, Krishna Raj P M
2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) (2022), pp. 1-6
Closed Access
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction.
Subhashis Banerjee, Sushmita Mitra, Lawrence Hall
arXiv (Cornell University) (2021)
Closed Access
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