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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:

Segmentation of lung cancer-caused metastatic lesions in bone scan images using self-defined model with deep supervision
Yongchun Cao, Liangxia Liu, Xiaohong Chen, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104068-104068
Open Access | Times Cited: 22

Showing 22 citing articles:

Lung Cancer Classification Using Modified U-Net Based Lobe Segmentation and Nodule Detection
Iftikhar Naseer, Sheeraz Akram, Tehreem Masood, et al.
IEEE Access (2023) Vol. 11, pp. 60279-60291
Open Access | Times Cited: 26
An ensemble method for the detection and classification of lung cancer using Computed Tomography images utilizing a capsule network with Visual Geometry Group
A. R. Bushara, R.S. Vinod Kumar, S. S. Kumar
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104930-104930
Closed Access | Times Cited: 19
A Two‐Stage CNN‐Based Method for Enhanced Metastasis Segmentation in SPECT Bone Scans
Yang He, Qiang Lin, Zhengxing Man, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
BSci-Seg: A bone scintigram segmentation model for accurately detecting and delineating metastasis lesions using convolutional neural networks
Yang He, Qiang Lin, An Xie, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107512-107512
Closed Access
BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach
Marwa Afnouch, Olfa Gaddour, Yosr Hentati, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120376-120376
Open Access | Times Cited: 11
UDCT: lung Cancer detection and classification using U-net and DARTS for medical CT images
Aakanksha Gupta, Ashwni Kumar, Kamakshi Rautela
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
Bone metastasis scintigram generation using generative adversarial learning with multi‐receptive field learning and two‐stage training
Qiang Lin, An Xie, Xianwu Zeng, et al.
Medical Physics (2024)
Closed Access | Times Cited: 2
U-Net Based Dual-Pooling Segmentation of Bone Metastases in Thoracic SPECT Bone Scintigrams
Yang He, Qiang Lin, Yongchun Cao, et al.
Journal of Computer and Communications (2024) Vol. 12, Iss. 04, pp. 60-71
Open Access | Times Cited: 1
Enhanced Lung Cancer Diagnosis and Staging With HRNeT: A Deep Learning Approach
N. Rathan, S. Lokesh
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 6
Closed Access | Times Cited: 1
AI‐powered automated analysis of bone scans: A survey
Qiang Lin, Yang He, Sihan Guo
IET Image Processing (2024)
Open Access | Times Cited: 1
MFA-UNet: a vessel segmentation method based on multi-scale feature fusion and attention module
Juan Cao, Jiaran Chen, Yuanyuan Gu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 3
Segmentation of metastatic lesions on bone scan images based on improved UNet3+ network
Chengyang Liu, Yongchun Cao, Qiang Lin, et al.
(2023), pp. 916-920
Closed Access | Times Cited: 2
Breast Cancer Bone Metastasis Lesion Segmentation on Bone Scintigraphy
Yi-You Chen, Po-Nien Yu, Yung-Chi Lai, et al.
(2023)
Open Access | Times Cited: 2
Forest Fire Object Detection Analysis Based on Knowledge Distillation
Jinzhou Xie, Hongmin Zhao
Fire (2023) Vol. 6, Iss. 12, pp. 446-446
Open Access | Times Cited: 2
Improved SegNet with Hybrid Classifier for Lung Cancer Segmentation and Classification
Rathod Dharmesh Ishwerlal, Reshu Agarwal, K.S. Sujatha
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access
Interpretable machine learning classifiers for the reliable prediction of fall induced hip fracture risk
Rabina Awal, Sarah C. Doll, Mahmuda Naznin, et al.
Machine learning for computational science and engineering (2024) Vol. 1, Iss. 1
Closed Access
Machine learning based finite element analysis (FEA) surrogate for hip fracture risk assessment and visualization
Rabina Awal, Mahmuda Naznin, Tanvir R. Faisal
Expert Systems with Applications (2024), pp. 125916-125916
Closed Access
BMSMM-Net: A Bone Metastasis Segmentation Framework Based on Mamba and Multiperspective Extraction
Fangxin Shang, Sicong Tang, Xiaorong Wan, et al.
Academic Radiology (2024)
Closed Access
Segmentation of Metastasized Lesions in Bone Scintigrams Using U-Net++ with Attention Gate
An Xie, Yang He, Qiang Lin, et al.
(2023), pp. 239-245
Closed Access | Times Cited: 1
Bone Metastases Lesion Segmentation on Breast Cancer Bone Scan Images with Negative Sample Training
Yi-You Chen, Po-Nien Yu, Yung-Chi Lai, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3042-3042
Open Access | Times Cited: 1
Revolutionizing Lung Cancer Diagnosis: A Comprehensive Review of Image Processing Techniques for Early Detection and Precision Medicine
Sanjay S Tippannavar, S D Yashwanth, S Gayatri, et al.
Journal of Innovative Image Processing (2023) Vol. 5, Iss. 4, pp. 337-357
Open Access | Times Cited: 1
Classification of Lung Cancer Using Hybrid Convolutional Neural Network Based Bidirectional Long Short-Term Memory
C. Thirumarai Selvi, Dommeti Hema Malini, Zainab Abed Almoussawi, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
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