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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:

Automatic classification with concatenation of deep and handcrafted features of histological images for breast carcinoma diagnosis
Prabira Kumar Sethy, Santi Kumari Behera
Multimedia Tools and Applications (2022) Vol. 81, Iss. 7, pp. 9631-9643
Closed Access | Times Cited: 23

Showing 23 citing articles:

A Comprehensive Review on Breast Cancer Detection, Classification and Segmentation Using Deep Learning
Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 5023-5052
Closed Access | Times Cited: 64
Denoising and segmentation in medical image analysis: A comprehensive review on machine learning and deep learning approaches
Ravi Kumar, Rahul Priyadarshi
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
Cléber I. de Oliveira, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 21929-21952
Closed Access | Times Cited: 14
CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images
Jarin Tasnim, Md. Kamrul Hasan
Physics in Medicine and Biology (2023) Vol. 69, Iss. 1, pp. 015018-015018
Closed Access | Times Cited: 13
Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network
Pallavi Bhanudas Salunkhe, Pravin S. Patil
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74625-74655
Closed Access | Times Cited: 4
Hybrid Techniques for Diagnosing Endoscopy Images for Early Detection of Gastrointestinal Disease Based on Fusion Features
Zeyad Ghaleb Al-Mekhlafi, Ebrahim Mohammed Senan, Jalawi Sulaiman Alshudukhi, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 9
Computer Based Diagnosis of Some Chronic Diseases: A Medical Journey of the Last Two Decades
Samir Malakar, Soumya Roy, Soham Das, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5525-5567
Open Access | Times Cited: 15
Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H&E Histological Images
Jaqueline Junko Tenguam, Leonardo C. Longo, Guilherme Freire Roberto, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1084-1084
Open Access | Times Cited: 2
HBNet: an integrated approach for resolving class imbalance and global local feature fusion for accurate breast cancer classification
Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8455-8472
Closed Access | Times Cited: 2
Exploring DeepDream and XAI Representations for Classifying Histological Images
João Martinez, Leandro Alves Neves, Leonardo C. Longo, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 2
Deep learning for necrosis detection using canine perivascular wall tumour whole slide images
Taranpreet Rai, Ambra Morisi, Barbara Bacci, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
ResNet101-SVM: Hybrid convolutional neural network for citrus fruits classification
Santi Kumari Behera, K Anitha, Rajat Amat, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 3, pp. 7035-7045
Closed Access | Times Cited: 1
Infusing Weighted Average Ensemble Diversity for Advanced Breast Cancer Detection
Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Closed Access | Times Cited: 1
Few-shot learning convolutional neural network for primitive indian paddy grain identification using 2D-DWT injection and grey wolf optimizer algorithm
Nabin Kumar Naik, Prabira Kumar Sethy, A. Geetha Devi, et al.
Journal of Agriculture and Food Research (2023) Vol. 15, pp. 100929-100929
Open Access | Times Cited: 2
Effect of Microscopy Magnification Towards Grading of Breast Invasive Carcinoma: An Experimental Analysis on Deep Learning and Traditional Machine Learning Methods
Ankita Patra, Santi Kumari Behera, Nalini Kanta Barpanda, et al.
Ingénierie des systèmes d information (2022) Vol. 27, Iss. 4, pp. 591-596
Open Access | Times Cited: 3
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection
Barsha Abhisheka, Saroj Kr. Biswas, Biswajit Purkayastha
Neural Computing and Applications (2024)
Closed Access
Bi-layer deep feature fusion based mineral classification using hand-specimen images
Santi Kumari Behera, Mannava Srinivasa Rao, Rajat Amat, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 3, pp. 6969-6976
Closed Access
Multi-headed CNN for colon cancer classification using histopathological images with tikhonov-based unsharp masking
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 71753-71772
Closed Access
HBMD-Net: Feature Fusion Based Breast Cancer Classification with Class Imbalance Resolution
Barsha Abhisheka, Saroj Kr. Biswas, Biswajit Purkayastha
Deleted Journal (2024)
Open Access
Detection of COVID-19 infected lungs from chest x-ray using wavelet transform, HOG features extraction and SVM
Md. Hossain Ali, Sadia Afrin, Redwanul Islam, et al.
Global Journal of Engineering and Technology Advances (2022) Vol. 13, Iss. 2, pp. 001-011
Open Access | Times Cited: 1
Integrating Deep and Handcrafted Features forEnhanced Decision-Making Assistance in BreastCancer Diagnosis on Ultrasound Images
Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha, et al.
Research Square (Research Square) (2023)
Open Access
Color and texture feature fusion for breast cancer classification using histopathology images
Dipti Deb, Ratnakar Dash, Durga Prasad Mohapatra
2021 IEEE 18th India Council International Conference (INDICON) (2023), pp. 433-438
Closed Access
Breast Tumor Detection Using Efficient Machine Learning and Deep Learning Techniques
Ankita Patra, Santi Kumari Behera, Prabira Kumar Sethy, et al.
Machine Learning and Applications An International Journal (2023) Vol. 10, Iss. 2/3, pp. 17-33
Open Access
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