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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:

Efficient breast cancer detection via cascade deep learning network
Bita Asadi, Qurban A. Memon
International Journal of Intelligent Networks (2023) Vol. 4, pp. 46-52
Open Access | Times Cited: 24

Showing 24 citing articles:

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
Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis
Gayathri Bulusu, K. E. Ch. Vidyasagar, Malini Mudigonda, et al.
Archives of Computational Methods in Engineering (2025)
Open Access | Times Cited: 1
Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 32
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 19
XAI-RACapsNet: Relevance aware capsule network-based breast cancer detection using mammography images via explainability O-net ROI segmentation
Ahmad Alhussen, Mohd Anul Haq, Arfat Ahmad Khan, et al.
Expert Systems with Applications (2024), pp. 125461-125461
Closed Access | Times Cited: 5
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection
Hari Mohan, Joon Yoo, Saurabh Agarwal, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 73-73
Open Access
An automatic sparse-based deep cascade framework with multilayer representation for detecting breast cancer
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Measurement (2024) Vol. 228, pp. 114375-114375
Closed Access | Times Cited: 4
Next-Generation Diagnostics: The Impact of Synthetic Data Generation on the Detection of Breast Cancer from Ultrasound Imaging
Hari Mohan, Serhii Dashkevych, Joon Yoo
Mathematics (2024) Vol. 12, Iss. 18, pp. 2808-2808
Open Access | Times Cited: 4
FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification
Ruiming Zeng, Boan Qu, Wei Liu, et al.
IEEE Access (2024) Vol. 12, pp. 70825-70832
Closed Access | Times Cited: 3
Integration of feature enhancement technique in Google inception network for breast cancer detection and classification
Wasyihun Sema Admass, Yirga Yayeh Munaye, Ayodeji Olalekan Salau
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
ICMFKC with optimize XGBoost classification for breast cancer image screening and detection
Anu Babu, S. Albert Jerome
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65469-65496
Closed Access | Times Cited: 1
Design and Implementation of Artificial Neural Network Classifiers based on Hypertuning Parameters for Breast Cancer Diagnosis
Neetu Gupta, Hemant Gupta, Rahul Srivastava, et al.
Procedia Computer Science (2024) Vol. 233, pp. 929-938
Open Access | Times Cited: 1
Comparative Analysis to Identify Machine Learning Methods in Predicting Benign-Malignant Types of Breast Cancer
Gunawan Anak Agung Ngurah, Putu Astri Novianti, Anak Agung Ngurah Frady Cakra Negara, et al.
(2024)
Closed Access
Computer-Aided Detection and Diagnosis of Breast Cancer: a Review
Bhanu Prakash Sharma, Ravindra Kumar Purwar
ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL (2024) Vol. 13, pp. e31412-e31412
Open Access
Advancing Early-Stage Brain Tumor Detection with Segmentation by Modified_Unet
Namya Musthafa, Mohammad Mehedy Masud, Qurban A. Memon
(2024), pp. 52-57
Closed Access
Ontological modeling with recursive recurrent neural network and crayfish optimization for reliable breast cancer prediction
V. Rajeswari, K. Sakthi Priya
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106810-106810
Closed Access
Early cancer detection using deep learning and medical imaging: A survey
Istiak Ahmad, Fahad Alqurashi
Critical Reviews in Oncology/Hematology (2024) Vol. 204, pp. 104528-104528
Open Access
Multilevel semantic segmentation and optimal feature selection based convolution neural network (Op-CNN) for breast cancer identification and classification using mammogram images
Neha Thakur, Pardeep Kumar, A. P. Siva Kumar
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107374-107374
Closed Access
Experimental Analysis of Robust Forest Fire Detection for Sustainability
Qurban A. Memon, Bethel Wodajo, A. M. Alshamsi, et al.
(2023) Vol. 15, pp. 91-96
Closed Access
Improving Mass Detection in Mammography Using Focal Loss Based RetinaNet
Semih Demirel, Ataberk Urfalı, Ömer Faruk Bozkır, et al.
Turkish Journal of Forecasting (2023) Vol. 07, Iss. 1, pp. 1-9
Open Access
T2FM: A novel hashtable based type-2 fuzzy frequent itemsets mining
M. Jeya Sutha, F. Ramesh Dhanaseelan, M. Felix Nes Mabel, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 2, pp. 3231-3244
Closed Access
Experimental analysis of accelerometer data for human activity recognition
Mohammed Kamil Al-Ameri, Qurban A. Memon
(2023), pp. 11-11
Closed Access
Deep Recurrent Speeded Robust Feature Learning Based Bagging Ensemble Multinomial Regressive Cancer Classification Using Mammograms
K. Sai Krishna, P. Grace Kanmani Prince
(2023), pp. 1354-1362
Closed Access
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