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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:

A novel breast tumor classification algorithm using neutrosophic score features
Khalid Amin, Ahmed I. Shahin, Yanhui Guo
Measurement (2015) Vol. 81, pp. 210-220
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

White blood cells identification system based on convolutional deep neural learning networks
Ahmed I. Shahin, Yanhui Guo, Khalid Amin, et al.
Computer Methods and Programs in Biomedicine (2017) Vol. 168, pp. 69-80
Closed Access | Times Cited: 202
A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017
Xindong Peng, Jingguo Dai
Artificial Intelligence Review (2018) Vol. 53, Iss. 1, pp. 199-255
Closed Access | Times Cited: 118
Segmentation information with attention integration for classification of breast tumor in ultrasound image
Yaozhong Luo, Qinghua Huang, Xuelong Li
Pattern Recognition (2021) Vol. 124, pp. 108427-108427
Closed Access | Times Cited: 94
A review on image-based approaches for breast cancer detection, segmentation, and classification
Zahra Rezaei
Expert Systems with Applications (2021) Vol. 182, pp. 115204-115204
Closed Access | Times Cited: 86
Classification of tumor in one single ultrasound image via a novel multi-view learning strategy
Yaozhong Luo, Qinghua Huang, Longzhong Liu
Pattern Recognition (2023) Vol. 143, pp. 109776-109776
Closed Access | Times Cited: 36
Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis
Yaozhong Luo, Zhenkun Lu, Longzhong Liu, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104784-104784
Closed Access | Times Cited: 33
An indeterminacy fusion of encoder-decoder network based on neutrosophic set for white blood cells segmentation
Yanhui Guo, Ahmed I. Shahin, Harish Garg
Expert Systems with Applications (2024) Vol. 246, pp. 123156-123156
Open Access | Times Cited: 8
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis
Tianyu Shen, Jiangong Wang, Chao Gou, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 28, Iss. 12, pp. 3204-3218
Closed Access | Times Cited: 68
Neutrosophic image segmentation with Dice Coefficients
Sudan Jha, Lê Hoàng Sơn, Raghvendra Kumar, et al.
Measurement (2018) Vol. 134, pp. 762-772
Closed Access | Times Cited: 66
A novel white blood cells segmentation algorithm based on adaptive neutrosophic similarity score
Ahmed I. Shahin, Yanhui Guo, Khalid Amin, et al.
Health Information Science and Systems (2017) Vol. 6, Iss. 1
Open Access | Times Cited: 63
An intelligent system for quality measurement of Golden Bleached raisins using two comparative machine learning algorithms
Navab Karimi, Ramin Ranjbarzadeh, Tohid Alizadeh
Measurement (2017) Vol. 107, pp. 68-76
Closed Access | Times Cited: 55
A novel pipeline framework for multi oriented scene text image detection and recognition
Fatemeh Naiemi, Vahid Ghods, Hassan Khalesi
Expert Systems with Applications (2020) Vol. 170, pp. 114549-114549
Closed Access | Times Cited: 48
Challenges and future directions in neutrosophic set-based medical image analysis
Deepika Koundal, Bhisham Sharma
Elsevier eBooks (2019), pp. 313-343
Closed Access | Times Cited: 27
A Novel Solution of Using Deep Learning for White Blood Cells Classification: Enhanced Loss Function with Regularization and Weighted Loss (ELFRWL)
Jaya Basnet, Abeer Alsadoon, P. W. C. Prasad, et al.
Neural Processing Letters (2020) Vol. 52, Iss. 2, pp. 1517-1553
Closed Access | Times Cited: 25
A novel multi-class brain tumor classification method based on unsupervised PCANet features
Ahmed I. Shahin, Saleh Aly, Walaa Aly
Neural Computing and Applications (2023) Vol. 35, Iss. 15, pp. 11043-11059
Closed Access | Times Cited: 8
A Novel Intelligent System for Brain Tumor Diagnosis Based on a Composite Neutrosophic-Slantlet Transform Domain for Statistical Texture Feature Extraction
Shakhawan H. Wady, Raghad Zuhair Yousif, Harith Raad Hasan
BioMed Research International (2020) Vol. 2020, pp. 1-21
Open Access | Times Cited: 21
Improved Symmetry Measures of Simplified Neutrosophic Sets and Their Decision-Making Method Based on a Sine Entropy Weight Model
Wenhua Cui, Jun Ye
Symmetry (2018) Vol. 10, Iss. 6, pp. 225-225
Open Access | Times Cited: 23
Breast Benign and Malignant Tumors Rapidly Screening by ARFI-VTI Elastography and Random Decision Forests Based Classifier
Jian‐Xing Wu, Pi-Yun Chen, Chia‐Hung Lin, et al.
IEEE Access (2020) Vol. 8, pp. 54019-54034
Open Access | Times Cited: 17
A novel enhancement technique for pathological microscopic image using neutrosophic similarity score scaling
Ahmed I. Shahin, Khalid Amin, Amr A. Sharawi, et al.
Optik (2018) Vol. 161, pp. 84-97
Closed Access | Times Cited: 18
Enhancement of ARFI-VTI Elastography Images in Order to Preliminary Rapid Screening of Benign and Malignant Breast Tumors Using Multilayer Fractional-Order Machine Vision Classifier
Jian‐Xing Wu, Hsiao-Chuan Liu, Pi-Yun Chen, et al.
IEEE Access (2020) Vol. 8, pp. 164222-164237
Open Access | Times Cited: 14
m B C C f : Multilevel Breast Cancer Classification Framework Using Radiomic Features
Lipismita Panigrahi, Tej Bahadur Chandra, Atul Kumar Srivastava, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-24
Open Access | Times Cited: 1
A novel classifier model for mass classification using BI-RADS category in ultrasound images based on Type-2 fuzzy inference system
Esma Uzunhisarcıklı, Volkan Göreke
Sadhana (2018) Vol. 43, Iss. 9
Open Access | Times Cited: 10
NCM-Based Raga Classification Using Musical Features
R. Anitha, K. Gunavathi
International Journal of Fuzzy Systems (2016) Vol. 19, Iss. 5, pp. 1603-1616
Closed Access | Times Cited: 9
A Characterization Approach for the Review of CAD Systems Designed for Breast Tumor Classification Using B-Mode Ultrasound Images
N.A. Kriti, Jitendra Virmani, Ravinder Agarwal
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 3, pp. 1485-1523
Closed Access | Times Cited: 9
A novel quantitative measurement method for irregular tubules in breast carcinoma
Xiao Jian Tan, Nazahah Mustafa, ‪Mohd Yusoff Mashor, et al.
Engineering Science and Technology an International Journal (2021) Vol. 31, pp. 101051-101051
Open Access | Times Cited: 9
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