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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:

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction
Taye Girma Debelee, Mohammadreza Amirian, Achim Ibenthal, et al.
Springer eBooks (2018), pp. 89-98
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Diagnosis of Diabetes Mellitus Using Gradient Boosting Machine (LightGBM)
Derara Duba Rufo, Taye Girma Debelee, Achim Ibenthal, et al.
Diagnostics (2021) Vol. 11, Iss. 9, pp. 1714-1714
Open Access | Times Cited: 183
Survey of deep learning in breast cancer image analysis
Taye Girma Debelee, Friedhelm Schwenker, Achim Ibenthal, et al.
Evolving Systems (2019) Vol. 11, Iss. 1, pp. 143-163
Closed Access | Times Cited: 147
A Survey of Brain Tumor Segmentation and Classification Algorithms
Erena Siyoum Biratu, Friedhelm Schwenker, Yehualashet Megersa Ayano, et al.
Journal of Imaging (2021) Vol. 7, Iss. 9, pp. 179-179
Open Access | Times Cited: 121
Enhanced Region Growing for Brain Tumor MR Image Segmentation
Erena Siyoum Biratu, Friedhelm Schwenker, Taye Girma Debelee, et al.
Journal of Imaging (2021) Vol. 7, Iss. 2, pp. 22-22
Open Access | Times Cited: 103
Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information
Ahmed M. Gab Allah, Amany Sarhan, Nada M. Elshennawy
Expert Systems with Applications (2022) Vol. 213, pp. 118833-118833
Closed Access | Times Cited: 92
Machine Learning in Cereal Crops Disease Detection: A Review
Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, et al.
Algorithms (2022) Vol. 15, Iss. 3, pp. 75-75
Open Access | Times Cited: 38
WBM-DLNets: Wrapper-Based Metaheuristic Deep Learning Networks Feature Optimization for Enhancing Brain Tumor Detection
Muhammad Umair Ali, Shaik Javeed Hussain, Amad Zafar, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 475-475
Open Access | Times Cited: 22
Breast Cancer Detection and Analytics Using Hybrid CNN and Extreme Learning Machine
Vidhushavarshini Sureshkumar, Rubesh Sharma Navani Prasad, Sathiyabhama Balasubramaniam, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 8, pp. 792-792
Open Access | Times Cited: 7
Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image Features
Soumya Roy, Soham Das, Devroop Kar, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3628-3628
Open Access | Times Cited: 40
Dual view deep learning for enhanced breast cancer screening using mammography
Samuel Rahimeto Kebede, Fraol Gelana Waldamichael, Taye Girma Debelee, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Deep transfer learning based hierarchical CAD system designs for SFM images
Jyoti Rani, Jaswinder Singh, Jitendra Virmani
Journal of Medical Engineering & Technology (2025), pp. 1-18
Closed Access
Deep Learning Techniques for the Classification of Brain Tumor: A Comprehensive Survey
Ayesha Younis, Qiang Li, Mudassar Khalid, et al.
IEEE Access (2023) Vol. 11, pp. 113050-113063
Open Access | Times Cited: 13
Coffee disease detection using a robust HSV color‐based segmentation and transfer learning for use on smartphones
Fraol Gelana Waldamichael, Taye Girma Debelee, Yehualashet Megersa Ayano
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 8, pp. 4967-4993
Open Access | Times Cited: 28
State-of-the-Art Challenges and Perspectives in Multi-Organ Cancer Diagnosis via Deep Learning-Based Methods
Saqib Ali, Jianqiang Li, Yan Pei, et al.
Cancers (2021) Vol. 13, Iss. 21, pp. 5546-5546
Open Access | Times Cited: 22
Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning
Worku Gachena Negera, Friedhelm Schwenker, Taye Girma Debelee, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9837-9837
Open Access | Times Cited: 15
A comparative performance study of random‐grid model for hyperparameters selection in detection of abnormalities in digital breast images
Olaide N. Oyelade, Absalom E. Ezugwu
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 13
Closed Access | Times Cited: 13
Hybrid computer aided diagnostic system designs for screen film mammograms using DL‐based feature extraction and ML‐based classifiers
Jyoti Rani, Jaswinder Singh, Jitendra Virmani
Expert Systems (2023) Vol. 40, Iss. 7
Closed Access | Times Cited: 6
A Framework of Deep Learning and Selection-Based Breast Cancer Detection from Histopathology Images
Muhammad Junaid Umer, Muhammad Sharif, Majed Alhaisoni, et al.
Computer Systems Science and Engineering (2022) Vol. 45, Iss. 2, pp. 1001-1016
Open Access | Times Cited: 10
FuzzyDeepNets based feature extraction for classification of mammograms
Jyoti Dabass, Manju Dabass, Bhupender Singh Dabass
Intelligence-Based Medicine (2023) Vol. 8, pp. 100117-100117
Open Access | Times Cited: 5
A Hybrid Machine Learning Model Based on Global and Local Learner Algorithms for Diabetes Mellitus Prediction
Derara Duba Rufo, Taye Girma Debelee, Worku Gachena Negera
Journal of biomimetics, biomaterials and biomedical engineering (2022) Vol. 54, pp. 65-88
Closed Access | Times Cited: 9
Wheat Yield Prediction Using Machine Learning: A Survey
Taye Girma Debelee, Samuel Rahimeto Kebede, Fraol Gelana Waldamichael, et al.
Communications in computer and information science (2023), pp. 114-132
Closed Access | Times Cited: 2
Formulation of probability-based pervasive information set features and Hanman transform classifier for the categorization of mammograms
Jyoti Dabass, M. Hanmandlu, Rekha Vig
SN Applied Sciences (2021) Vol. 3, Iss. 6
Open Access | Times Cited: 6
Multi-class classification of mammograms with hesitancy based Hanman transform classifier on pervasive information set texture features
Jyoti Dabass, M. Hanmandlu, Rekha Vig
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100756-100756
Open Access | Times Cited: 5
A Comprehensive Review: Tumour Recognition, Segmentation and Classification in Brain MRI
Ruqsar Zaitoon, Hussain Syed
(2024), pp. 865-870
Closed Access
Deep Learning Techniques for Breast Cancer Diagnosis: A Systematic Review
B. Krishnakumar, K. Kousalya
Advances in intelligent systems and computing (2021), pp. 155-171
Closed Access | Times Cited: 2
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