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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:

Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network
Yudong Zhang, Suresh Chandra Satapathy, David S. Guttery, et al.
Information Processing & Management (2020) Vol. 58, Iss. 2, pp. 102439-102439
Closed Access | Times Cited: 306

Showing 1-25 of 306 citing articles:

Facial expression recognition via ResNet-50
Bin Li, Dimas Lima
International Journal of Cognitive Computing in Engineering (2021) Vol. 2, pp. 57-64
Open Access | Times Cited: 180
Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence
Uzair Aslam Bhatti, Hao Tang, Guilu Wu, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-28
Open Access | Times Cited: 157
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4758-4758
Open Access | Times Cited: 156
SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network
Aayush Kumar, Ayush Tripathi, Suresh Chandra Satapathy, et al.
Pattern Recognition (2021) Vol. 122, pp. 108255-108255
Open Access | Times Cited: 104
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali
Neural Computing and Applications (2022) Vol. 34, Iss. 20, pp. 18015-18033
Open Access | Times Cited: 102
High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104292-104292
Closed Access | Times Cited: 77
EEG emotion recognition using improved graph neural network with channel selection
Xuefen Lin, Jielin Chen, Weifeng Ma, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107380-107380
Closed Access | Times Cited: 58
A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection
Selina Sharmin, Tanvir Ahammad, Md. Alamin Talukder, et al.
IEEE Access (2023) Vol. 11, pp. 87694-87708
Open Access | Times Cited: 56
Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network
Hameedur Rahman, Tanvir Fatima Naik Bukht, Rozilawati Ahmad, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 43
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 104919-104919
Closed Access | Times Cited: 41
Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach
Weiwei Jiang, Yang Zhang, Haoyu Han, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 3425-3435
Closed Access | Times Cited: 21
Multimodal data integration for oncology in the era of deep neural networks: a review
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 20
BreastHybridNet: A Hybrid Deep Learning Framework for Breast Cancer Diagnosis Using Mammogram Images
Bandla Raghuramaiah, Suresh Chittineni
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 3
An enhanced Predictive heterogeneous ensemble model for breast cancer prediction
S. Nanglia, Muneer Ahmad, Fawad Khan, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103279-103279
Closed Access | Times Cited: 100
Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images
Dilovan Asaad Zebari, Dheyaa Ahmed Ibrahim, Diyar Qader Zeebaree, et al.
Applied Artificial Intelligence (2021) Vol. 35, Iss. 15, pp. 2157-2203
Open Access | Times Cited: 80
Deep learning based assistive technology on audio visual speech recognition for hearing impaired
L. Ashok Kumar, D. Karthika Renuka, S. Lovelyn Rose, et al.
International Journal of Cognitive Computing in Engineering (2022) Vol. 3, pp. 24-30
Open Access | Times Cited: 64
A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective
Han Li, Peishu Wu, Nianyin Zeng, et al.
International Journal of Systems Science (2022) Vol. 53, Iss. 16, pp. 3556-3576
Closed Access | Times Cited: 62
Segmentation and classification of brain tumor using 3D-UNet deep neural networks
Pranjal Agrawal, Nitish Katal, Nishtha Hooda
International Journal of Cognitive Computing in Engineering (2022) Vol. 3, pp. 199-210
Open Access | Times Cited: 59
Entrepreneurship education-infiltrated computer-aided instruction system for college Music Majors using convolutional neural network
Cao Hong
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 53
Traditional machine learning algorithms for breast cancer image classification with optimized deep features
Furkan Atban, Ekin Ekıncı, Zeynep Garip
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104534-104534
Closed Access | Times Cited: 51
The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
Cancers (2022) Vol. 14, Iss. 21, pp. 5334-5334
Open Access | Times Cited: 50
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Pan Shang, Xinwei Liu, Chengqing Yu, et al.
Digital Signal Processing (2022) Vol. 123, pp. 103419-103419
Closed Access | Times Cited: 43
A Systematic Literature Review of Breast Cancer Diagnosis Using Machine Intelligence Techniques
Varsha Nemade, Sunil Pathak, Ashutosh Kumar Dubey
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 4401-4430
Closed Access | Times Cited: 42
A new ensemble spatio-temporal PM2.5 prediction method based on graph attention recursive networks and reinforcement learning
Jing Tan, Hui Liu, Yanfei Li, et al.
Chaos Solitons & Fractals (2022) Vol. 162, pp. 112405-112405
Closed Access | Times Cited: 40
A Survey of Convolutional Neural Network in Breast Cancer
Ziquan Zhu, Shuihua Wang‎, Yudong Zhang
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2127-2172
Open Access | Times Cited: 38
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