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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:

RETRACTED ARTICLE: An early prediction and classification of lung nodule diagnosis on CT images based on hybrid deep learning techniques
Vijay Kumar Gugulothu, Sai A. Balaji
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 1041-1061
Open Access | Times Cited: 22

Showing 22 citing articles:

GoogLeNet-AL: A fully automated adaptive model for lung cancer detection
Lei Ma, Huiqun Wu, P. Samundeeswari
Pattern Recognition (2024) Vol. 155, pp. 110657-110657
Closed Access | Times Cited: 7
Optimized theory-guided convolutional neural network for lung cancer classification using CT images with advanced FPGA implementation
S. Manikandan, P. Karthigaikumar
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107719-107719
Closed Access
Enhancing Lung Nodule Classification: A Novel CViEBi-CBGWO Approach with Integrated Image Preprocessing
J Manikandan, K Jayashree
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2108-2125
Closed Access | Times Cited: 3
Attention pyramid pooling network for artificial diagnosis on pulmonary nodules
Hongfeng Wang, Hai Zhu, Lihua Ding, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302641-e0302641
Open Access | Times Cited: 3
Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer
Leyuan Meng, Ping Zhu, Kaijian Xia
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 2
Performance analysis of various deep learning models based on Max-Min CNN for lung nodule classification on CT images
Rekka Mastouri, Nawrès Khlifa, Henda Nèji, et al.
Machine Vision and Applications (2024) Vol. 35, Iss. 4
Closed Access | Times Cited: 2
Deep learning in pulmonary nodule detection and segmentation: a systematic review
Chuan Gao, Linyu Wu, Wei Wu, et al.
European Radiology (2024) Vol. 35, Iss. 1, pp. 255-266
Open Access | Times Cited: 2
Lung image segmentation via generative adversarial networks
Jiaxin Cai, Hongfeng Zhu, Siyu Liu, et al.
Frontiers in Physiology (2024) Vol. 15
Closed Access | Times Cited: 2
Development of 3DTDUnet++ with novel function and multi-scale dilated-based deep learning model for lung cancer diagnosis using CT images
S. Sridevi, A. RajivKannan
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106243-106243
Closed Access | Times Cited: 1
Hybrid transformer-CNN and LSTM model for lung disease segmentation and classification
Syed Mohammed Shafi, C. Sathiya Kumar
PeerJ Computer Science (2024) Vol. 10, pp. e2444-e2444
Open Access | Times Cited: 1
KD_ConvNeXt: knowledge distillation-based image classification of lung tumor surgical specimen sections
Zhaoliang Zheng, Henian Yao, Chengchuang Lin, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 3
Iterative learning for maxillary sinus segmentation based on bounding box annotations
Xinli Xu, Kaidong Wang, Chengze Wang, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33263-33293
Closed Access | Times Cited: 2
Monarch Butterfly Optimization based Multi-Convolution Neural Network for Lung Cancer Classification
Uma Maheswari S, Myasar Mundher Adnan, K R Lathakumari, et al.
(2024), pp. 1-4
Closed Access
Deep Learning Approaches for Lung Cancer Detection: A Transfer Learning Perspective
Pandiselvam Pandiyarajan, V. Niteesh, Siddharth Sriram, et al.
(2024)
Closed Access
Use Case: Application of Deep Learning Methods in Diagnosis of Lung Diseases from Medical Imaging Data
Lazar Dašić, Nenad Filipović
(2024), pp. 399-424
Closed Access
Lung nodule detection using Eyrie Flock-based Deep Convolutional Neural Network
Ajit Narendra Gedam, Deepika Amol Ajalkar, Aniruddha S. Rumale
Intelligent Decision Technologies (2024) Vol. 18, Iss. 3, pp. 1651-1673
Closed Access
Precise Lung Disease Classification Through Bagging Ensemble Method
M. Shimja, K. Kartheeban
(2024) Vol. 9, pp. 629-634
Closed Access
Classification of lung disorders in chest multi-modal images using hyper-Parameter tuning and modified ResNet50
Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma
Multimedia Tools and Applications (2024)
Closed Access
An integrated method for detecting lung cancer via CT scanning via optimization, deep learning, and IoT data transmission
Shaik Karimullah, Mudassir Khan, Fahimuddin Shaik, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning
Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu
Engineering Reports (2024)
Open Access
Revolutionizing Lung Segmentation with Machine Learning: A Critical Review of Techniques in Medical Imaging
Momina Aisha, Muhammad Ijaz, Nimra Tariq, et al.
Sir Syed University Research Journal of Engineering & Technology (2024) Vol. 14, Iss. 2, pp. 55-62
Closed Access
Deep Learning Techniques for Lung Cancer Detection: A Systematic Literature Review
Sabilla Halimatus Mahmud, Indah Soesanti, Rudy Hartanto
2022 5th International Conference on Information and Communications Technology (ICOIACT) (2023), pp. 200-205
Closed Access
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