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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:

DEHA-Net: A Dual-Encoder-Based Hard Attention Network with an Adaptive ROI Mechanism for Lung Nodule Segmentation
Muhammad Usman, Yeong-Gil Shin
Sensors (2023) Vol. 23, Iss. 4, pp. 1989-1989
Open Access | Times Cited: 21

Showing 21 citing articles:

Systematic review and meta-analysis of deep learning applications in computed tomography lung cancer segmentation
Tingwei Wang, Jia‐Sheng Hong, Jing-Wen Huang, et al.
Radiotherapy and Oncology (2024) Vol. 197, pp. 110344-110344
Closed Access | Times Cited: 4
Pulmonary Nodule Detection, Segmentation and Classification Using Deep Learning: A Comprehensive Literature Review
Ioannis Marinakis, Konstantinos Κarampidis, Giorgos Papadourakis
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 2043-2106
Open Access | Times Cited: 4
Deep Learning Based Ensemble Model for Pulmonary Cancer Segmentation in CT Images
Manju Dabass, Jitender Singh Virk, Anuj Chandaliya, et al.
Lecture notes in networks and systems (2025), pp. 219-231
Closed Access
Effective Deep Learning-Based Methodology for Cancer Classification in Lung CT Images
Manju Dabass, Jitender Singh Virk, Anuj Chandaliya, et al.
Algorithms for intelligent systems (2025), pp. 373-385
Closed Access
Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review
Somayeh Sadat Mehrnia, Zhino Safahi, Amin Mousavi, et al.
Deleted Journal (2025)
Closed Access
A Novel Method for 3D Lung Tumor Reconstruction Using Generative Models
Hamidreza Najafi, Kimia Savoji, Marzieh Mirzaeibonehkhater, et al.
Diagnostics (2024) Vol. 14, Iss. 22, pp. 2604-2604
Open Access | Times Cited: 3
Mask-Transformer-Based Networks for Teeth Segmentation in Panoramic Radiographs
Mehreen Kanwal, Muhammad Rehman, Muhammad Umar Farooq, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 843-843
Open Access | Times Cited: 10
EDTNet: A spatial aware attention-based transformer for the pulmonary nodule segmentation
Dhirendra Prasad Yadav, Bhisham Sharma, Julian Webber, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0311080-e0311080
Open Access | Times Cited: 2
DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs
Muhammad Umar Farooq, Zahid Ullah, Asifullah Khan, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107570-107570
Closed Access | Times Cited: 5
Effective deep learning approach for segmentation of pulmonary cancer in thoracic CT image
Chitra Thangavel, P. Jaganathan
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105804-105804
Closed Access | Times Cited: 4
Segmentation of Metastasized Pulmonary Nodules of Patients with Thyroid Cancer
Xujun Chen, Yixing Lu, Wei Zou, et al.
(2024), pp. 367-371
Closed Access | Times Cited: 1
Lung Nodule Analysis in CT Images: Deep Learning for Segmentation and Measurement
Ai‐Hsien Li, Cristian Daniel Aruperes, Yen‐Jun Lai, et al.
(2024), pp. 13-17
Closed Access | Times Cited: 1
Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning
R Elakkiya, Harshiv Chandra, Nick Pears, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107268-107268
Closed Access | Times Cited: 1
Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework
Bassant E. Youssef, Ahmed Alksas, Ahmed Shalaby, et al.
IEEE Access (2023) Vol. 11, pp. 99807-99821
Open Access | Times Cited: 4
MDFN: A Multi-level Dynamic Fusion Network with self-calibrated edge enhancement for lung nodule segmentation
Yu‐Dong Cai, Zhao Liu, Yu Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105507-105507
Closed Access | Times Cited: 4
An automatic lung nodule detection and classification using an optimized convolutional neural network and enhanced k-means clustering
M. Dhasny Lydia, Muthuramalingam Prakash
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 12, pp. 16973-16984
Closed Access | Times Cited: 3
Enhanced Lung Nodule Segmentation using Dung Beetle Optimization based LNS-DualMAGNet Model
K. Sathyamoorthy, S Ravikumar
International Research Journal of Multidisciplinary Technovation (2024), pp. 65-81
Open Access
Pulmonary Nodule Segmentation Using Deep Learning: A Review
Yong Wang, Seri Mastura Mustaza, Mohammad Syuhaimi Ab–Rahman
IEEE Access (2024) Vol. 12, pp. 119039-119055
Open Access
MAST-UNet: More adaptive semantic texture for segmenting pulmonary nodules
Xuemei Shi, Zifan Zhang
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106804-106804
Closed Access
Lung Nodule Segmentation Using Cat Swarm Optimization Based Recurrent Neural Network
Spoorthi Basavarajappa, Shanthi Mahesh
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 458-469
Open Access | Times Cited: 1
Improving Lung CT Analysis through Fuzzy Dilated Convolution Attention
Rangan Das, Samayan Bhattacharya, Swadesh Jana, et al.
(2023), pp. 71-76
Closed Access
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