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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 Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis
Almas Begum, V. Dhilip Kumar, Junaid Asghar, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Complete Breast Cancer Detection and Monitoring System by Using Microwave Textile Based Antenna Sensors
Dalia M. Elsheakh, Rawda A. Mohamed, Omar M. Fahmy, et al.
Biosensors (2023) Vol. 13, Iss. 1, pp. 87-87
Open Access | Times Cited: 53
A Hybrid Algorithm of ML and XAI to Prevent Breast Cancer: A Strategy to Support Decision Making
Fabián Silva-Aravena, Hugo Núñez Delafuente, Jimmy H. Gutiérrez‐Bahamondes, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2443-2443
Open Access | Times Cited: 23
Adversarial learning for Mirai botnet detection based on long short-term memory and XGBoost
Vajratiya Vajrobol, Brij B. Gupta, Akshat Gaurav, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 153-160
Open Access | Times Cited: 8
A Hybrid Deep Learning Framework with Decision-Level Fusion for Breast Cancer Survival Prediction
Nermin Abdelhakim Othman, Manal A. Abdel-Fattah, Ahlam Talaat Ali
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 50-50
Open Access | Times Cited: 19
Computational Intelligence in Cancer Diagnostics: A Contemporary Review of Smart Phone Apps, Current Problems, and Future Research Potentials
Somit Jain, Dharmik Naicker, Ritu Raj, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1563-1563
Open Access | Times Cited: 14
Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development
Anchal Dahiya, Pooja Mittal, Yogesh Kumar Sharma, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2645-e2645
Open Access
Automated Breast Cancer Detection Using Convolutional Neural Networks
Sachi Joshi, Upesh Patel
Lecture notes in networks and systems (2025), pp. 419-429
Closed Access
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
Self-supervised dual-head attentional bootstrap learning network for prostate cancer screening in transrectal ultrasound images
Xu Lu, Xiangjun Liu, Zhiwei Xiao, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107337-107337
Closed Access | Times Cited: 8
A framework for breast cancer diagnostics based on MobileNetV2 and LSTM-based deep learning
A Jenefa, A. Lincy, Edward Naveen
Elsevier eBooks (2024), pp. 91-110
Closed Access | Times Cited: 2
Skin cancer classification based on a hybrid deep model and long short-term memory
Samira Mavaddati
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107109-107109
Closed Access | Times Cited: 2
Effect of Pectoral Muscles on CNN based Mammographic Cancer Detection
Santoresh Kumari Dhimann, Tinny Sawhney, Rakesh Kumar Yadav
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 981-985
Closed Access | Times Cited: 1
Deep Learning-Based Lung Cancer Classification: Recent Developments and Future Prospects
Almas Begum, S. Alex David, D Hemalatha, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2023), pp. 1-8
Closed Access | Times Cited: 4
Ensemble model for grape leaf disease detection using CNN feature extractors and random forest classifier
Farian S. Ishengoma, Neema Nicodemus Lyimo
Heliyon (2024) Vol. 10, Iss. 12, pp. e33377-e33377
Open Access | Times Cited: 1
Machine Learning for Breast Cancer Detection with Dual-Port Textile UWB MIMO Bra-Tenna System
Azza H. Elnaggar, Anwer S. Abd El-Hameed, Mohamed Yakout, et al.
Information (2024) Vol. 15, Iss. 8, pp. 467-467
Open Access | Times Cited: 1
Hybrid CNN-LSTM for Predicting Diabetes: A Review
Soroush Soltanizadeh, Seyedeh Somayeh Naghibi
Current Diabetes Reviews (2023) Vol. 20, Iss. 7
Closed Access | Times Cited: 3
Effective Breast Cancer Prediction Based on Feature Extraction, Fusion And Selection using Hybrid Methodologies
Gowri Rajasekaran, Sunitha Ram C
International Journal of Electrical and Electronics Engineering (2023) Vol. 10, Iss. 5, pp. 131-142
Open Access | Times Cited: 2
Cancer disease multinomial classification using transfer learning and SVM on the genes’ sequences
Ines Slimene, Imene Messaoudi, Afef Elloumi Oueslati, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2023) Vol. 9
Open Access | Times Cited: 2
Efficient Brain Tumor Detection Using VGG-16 and ResNet50 Transfer Learning Models
T. Kujani, S. Alex David, T. Sathya, et al.
Advances in intelligent systems and computing (2023), pp. 455-467
Closed Access | Times Cited: 2
Breast Cancer Detection in Image Processing
A. Ramesh, G Adhithya, E Charithra
(2024), pp. 1-7
Closed Access
Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy
Avaneesh Singh, Krishna Kumar Sharma, Manish Kumar Bajpai, et al.
Applied Soft Computing (2024), pp. 112374-112374
Closed Access
Integrating UNet and LSTM Architectures for Enhanced Fake News
Carmel Mary Belinda M J, E. Kannan, Almas Begum, et al.
(2023), pp. 1-6
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
Time-series Classification for Patients under Active Surveillance and Screening Using Echo State Network
Zonglun Li, Alexey Zaikin, Oleg Blyuss
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Bitcoin Price Forecasting: A Comparison of LSTM and Feedforward Neural Network
S. Alex David, Almas Begum, Carmel Mary Belinda M J, et al.
(2023), pp. 1-5
Closed Access
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