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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:

Deep convolutional neural network and emotional learning based breast cancer detection using digital mammography
Naveed Chouhan, Asifullah Khan, Jehan Zeb Shah, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104318-104318
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Vision Transformers in medical computer vision—A contemplative retrospection
Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106126-106126
Open Access | Times Cited: 137
TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3273-3273
Open Access | Times Cited: 101
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
COVID-19 detection in chest X-ray images using deep boosted hybrid learning
Saddam Hussain Khan, Anabia Sohail, Asifullah Khan, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104816-104816
Open Access | Times Cited: 73
A review on recent developments in cancer detection using Machine Learning and Deep Learning models
Sonam Maurya, Sushil Tiwari, Monika Chowdary Mothukuri, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104398-104398
Closed Access | Times Cited: 52
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
SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images
Usman Muhammad, Md Ziaul Hoque, Mourad Oussalah, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108207-108207
Open Access | Times Cited: 39
Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT
Chen Zhao, Renjun Shuai, Li Ma, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 17, pp. 24265-24300
Open Access | Times Cited: 38
COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs
Saddam Hussain Khan, Javed Iqbal, Syed Agha Hassnain, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120477-120477
Open Access | Times Cited: 28
CerviLearnNet: Advancing cervical cancer diagnosis with reinforcement learning-enhanced convolutional networks
Shakhnoza Muksimova, Sabina Umirzakova, Seung‐Baik Kang, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29913-e29913
Open Access | Times Cited: 12
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: 36
CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis
Victor Ikechukwu Agughasi, S. Murali
Machine Learning Science and Technology (2023) Vol. 4, Iss. 2, pp. 025021-025021
Open Access | Times Cited: 15
Challenges to the Early Diagnosis of Breast Cancer: Current Scenario and the Challenges Ahead
Ankita Sinha, M. Nazma B. J. Naskar, Manjusha Pandey, et al.
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 4
An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images
Shallu Sharma, Sumit Kumar, Manoj Sharma, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5673-5693
Closed Access | Times Cited: 4
Segmentation of shoulder muscle MRI using a new Region and Edge based Deep Auto-Encoder
Saddam Hussain Khan, Asifullah Khan, Yeon Soo Lee, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 10, pp. 14963-14984
Closed Access | Times Cited: 20
Evaluation metric of smile classification by peri-oral tissue segmentation for the automation of digital smile design
Seulgi Lee, Gan Jin, Ji-Hyun Park, et al.
Journal of Dentistry (2024) Vol. 145, pp. 104871-104871
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
Online Reviews Sentiment Analysis and Product Feature Improvement with Deep Learning
Jihua Cao, Jie Li, Miao Yin, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 22, Iss. 8, pp. 1-17
Closed Access | Times Cited: 16
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: 14
A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities
Neha Thakur, Pardeep Kumar, A. P. Siva Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 35849-35942
Closed Access | Times Cited: 8
A novel machine learning model for breast cancer detection using mammogram images
P. Kalpana, P. Tamije Selvy
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 7, pp. 2247-2264
Closed Access | Times Cited: 2
Machine learning and new insights for breast cancer diagnosis
Guo Ya, Heng Zhang, Leilei Yuan, et al.
Journal of International Medical Research (2024) Vol. 52, Iss. 4
Open Access | Times Cited: 2
Ensemble approach of deep learning models for binary and multiclass classification of histopathological images for breast cancer
Madhumita Pal, Ganapati Panda, Ranjan K. Mohapatra, et al.
Pathology - Research and Practice (2024) Vol. 263, pp. 155644-155644
Closed Access | Times Cited: 2
Multi-Scale Attention-Guided Network for mammograms classification
Chunbo Xu, Meng Lou, Yunliang Qi, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102730-102730
Closed Access | Times Cited: 16
A Cascade Deep Forest Model for Breast Cancer Subtype Classification Using Multi-Omics Data
Ala’a El-Nabawy, Nahla A. Belal, Nashwa El-Bendary
Mathematics (2021) Vol. 9, Iss. 13, pp. 1574-1574
Open Access | Times Cited: 16
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