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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:

Detection and Classification of MRI Brain Tumors using S3-DRLSTM Based Deep Learning Model
E. Aarthi, S. Jana, W. Gracy Theresa, et al.
International Journal of Electrical and Electronics Research (2022) Vol. 10, Iss. 3, pp. 597-603
Open Access | Times Cited: 10

Showing 10 citing articles:

An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs
Alok Sarkar, Md. Maniruzzaman, Mohammad Ashik Alahe, et al.
Journal of Sensors (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 39
Design and assessment of improved Convolutional Neural Network based brain tumor segmentation and classification system
Alok Singh Chauhan, Jyoti Prakash Singh, Sumit Kumar, et al.
Journal of Integrated Science and Technology (2024) Vol. 12, Iss. 4
Open Access | Times Cited: 9
Detection and Segmentation of Meningioma Brain Tumors in MRI brain Images using Curvelet Transform and ANFIS
R. Anitha, K. Sundaramoorthy, S. Karthigai Selvi, et al.
International Journal of Electrical and Electronics Research (2023) Vol. 11, Iss. 2, pp. 412-417
Open Access | Times Cited: 6
Image Forgery Detection Using Integrated Convolution-LSTM (2D) and Convolution (2D)
Yogita Shelar, Prashant Sharma, Chandan Singh. D. Rawat
International Journal of Electrical and Electronics Research (2023) Vol. 11, Iss. 2, pp. 631-638
Open Access | Times Cited: 2
Enhancing Brain Tumor Detection: A Comparative Study of Machine Learning Models
Mukesh Chand, Garima Mathur, Sushil Kumar Jain
(2024), pp. 546-553
Closed Access
Classification Of Brain Tumor Using Generative Adversarial Network With RES NET Discriminator
M. Umamaheswari, J. Sivadasan, Rajat Kumar Dwibedi, et al.
(2024), pp. 01-07
Closed Access
Enhancing Query Processing in Big Data: Scalability and Performance Optimization
M. Sahaya Sheela, Yousef Farhaoui, C. Kanmani Pappa, et al.
(2024), pp. 46-57
Closed Access
Naïve Bayesian Classification Based Glioma Brain Tumor Segmentation Using Grey Level Co-occurrence Matrix Method
R. Anitha, K. Sundaramoorthy, D. Suseela, et al.
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 4s, pp. 203-208
Open Access | Times Cited: 1
An Improved Method for Skin Cancer Prediction Using Machine Learning Techniques
Bharat Gupta, Chakresh Kumar Jain, Rishabh Lal Srivastava, et al.
International Journal of Electrical and Electronics Research (2022) Vol. 10, Iss. 4, pp. 881-887
Open Access | Times Cited: 1
An Optimized Transfer Learning Based Framework for Brain Tumor Classification
Manish Arya, Rajeev Agrawal
International Journal of Electrical and Electronics Research (2022) Vol. 10, Iss. 4, pp. 1184-1190
Open Access
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