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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:

NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection
Junjie Zhang, Yong Xia, Haoyue Zeng, et al.
Neurocomputing (2018) Vol. 317, pp. 159-167
Closed Access | Times Cited: 56

Showing 26-50 of 56 citing articles:

Weighted ensemble CNN for lung nodule classification: an evolutionary approach
Amrita Naik, Damodar Reddy Edla, Saidi Reddy Parne, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 68441-68466
Closed Access | Times Cited: 2
Pulmonary Nodule Detection Using 3-D Residual U-Net Oriented Context-Guided Attention and Multi-Branch Classification Network
Haiying Yuan, Yanrui Wu, Junpeng Cheng, et al.
IEEE Access (2021) Vol. 10, pp. 82-98
Open Access | Times Cited: 17
A deep learning‐ and CT image‐based prognostic model for the prediction of survival in non‐small cell lung cancer
Wen Chen, Xuewen Hou, Ying Hu, et al.
Medical Physics (2021) Vol. 48, Iss. 12, pp. 7946-7958
Closed Access | Times Cited: 16
A novel method for lung nodule detection in computed tomography scans based on Boolean equations and vector of filters techniques
Vítor A. de Mesquita, Paulo César Cortez, Alyson B. N. Ribeiro, et al.
Computers & Electrical Engineering (2022) Vol. 100, pp. 107911-107911
Closed Access | Times Cited: 11
A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules
Yang Chen, Xuewen Hou, Yifeng Yang, et al.
Journal of Digital Imaging (2022) Vol. 36, Iss. 2, pp. 688-699
Open Access | Times Cited: 11
Pulmonary nodule detection based on model fusion and adaptive false positive reduction
Yixin Xiong, Lei Deng, Yujuan Wang
Expert Systems with Applications (2023) Vol. 238, pp. 121890-121890
Closed Access | Times Cited: 5
Controlling False-Positives in Automatic Lung Nodule Detection by Adding 3D Cuboid Attention to a Convolutional Neural Network
Shu Wang, Yunsheng Liu, Chunmeng Shi
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104946-104946
Closed Access | Times Cited: 4
A New Method of Lung Nodule Detection in CT Scans using 3D U-Net Convolutional Neural Network
Chang Yong R, Su Ryon O, Song Jun Ri, et al.
International Journal of Advanced Networking and Applications (2024) Vol. 15, Iss. 05, pp. 6082-6089
Open Access | Times Cited: 1
Deeply supervised full convolution network for HEp-2 specimen image segmentation
Hai Xie, Haijun Lei, Yejun He, et al.
Neurocomputing (2019) Vol. 351, pp. 77-86
Closed Access | Times Cited: 13
APU-Net: An Attention Mechanism Parallel U-Net for Lung Tumor Segmentation
Tao Zhou, Y. Dong, Huiling Lu, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 7
Classifier Ensemble Based on Computed Tomography Attenuation Patterns for Computer-Aided Detection System
Fernando Roberto Pereira, João Mário Clementin de Andrade, Dante Luiz Escuissato, et al.
IEEE Access (2021) Vol. 9, pp. 123134-123145
Open Access | Times Cited: 10
A combination of FractalNet and CNN for Lung Nodule Classification
Amrita Naik, Damodar Reddy Edla, Venkatanareshbabu Kuppili
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2020), pp. 1-7
Closed Access | Times Cited: 9
Prediction of Malignancy in Lung Nodules Using Combination of Deep, Fractal, and Gray-Level Co-Occurrence Matrix Features
Amrita Naik, Damodar Reddy Edla, Dharavath Ramesh
Big Data (2021) Vol. 9, Iss. 6, pp. 480-498
Closed Access | Times Cited: 9
End-to-end deep learning radiomics: development and validation of a novel attention-based aggregate convolutional neural network to distinguish breast diffuse large B-cell lymphoma from breast invasive ductal carcinoma
Wen Chen, Fei Liu, Rui Wang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 10, pp. 6598-6614
Open Access | Times Cited: 3
Head CT Image Convolution Feature Segmentation and Morphological Filtering for Densely Matching Points of IoTs
Yao Yao, Changlin Xia, Jitao Li, et al.
IEEE Access (2020) Vol. 8, pp. 12521-12532
Open Access | Times Cited: 8
A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation
Fan-Ya Lin, Yeun‐Chung Chang, Hsuan-Yu Huang, et al.
European Radiology (2022) Vol. 32, Iss. 6, pp. 3767-3777
Closed Access | Times Cited: 4
A Deep Feature Concatenation Approach for Lung Nodule Classification
Amrita Naik, Damodar Reddy Edla, Dharavath Ramesh
Lecture notes in networks and systems (2021), pp. 213-226
Closed Access | Times Cited: 5
A new semi-supervised self-training method for lung cancer prediction
Kelvin Shak, Mundher Al-Shabi, Andrea Liew, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
A Short Survey Work for Lung Cancer Diagnosis Model: Algorithms Utilized, Challenging Issues, and Future Research Trends
Nishat Shaikh, Parth Shah
Lecture notes in networks and systems (2024), pp. 359-375
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
Deep Learning Paradigms for Existing and Imminent Lung Diseases Detection: A Review
Bhavna Vohra, Sumit Mittal
Journal of Experimental Biology and Agricultural Sciences (2023) Vol. 11, Iss. 2, pp. 226-235
Open Access | Times Cited: 1
Fully Automated Neural Network Framework for Pulmonary Nodules Detection and Segmentation
Yixin Xiong, Yongcheng Zhou, Yujuan Wang, et al.
AI Communications (2023) Vol. 36, Iss. 4, pp. 269-284
Closed Access | Times Cited: 1
Lung nodule classification using combination of CNN, second and higher order texture features
Amrita Naik, Damodar Reddy Edla
Journal of Intelligent & Fuzzy Systems (2021) Vol. 41, Iss. 5, pp. 5243-5251
Closed Access | Times Cited: 2
Lung Cancer Screening and Nodule Detection: The Role of Artificial Intelligence
Sunyi Zheng, Peter M. A. van Ooijen, Matthijs Oudkerk
Contemporary medical imaging (2022), pp. 459-469
Closed Access | Times Cited: 1
Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks
Alexander Semiletov, Aleksandra Vatian, Maksim Krychkov, et al.
Lecture notes in computer science (2021), pp. 593-608
Closed Access | Times Cited: 1

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