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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:

3D Reconstruction for Super-Resolution CT Images in the Internet of Health Things Using Deep Learning
Jing Zhang, Ling-Rui Gong, Keping Yu, et al.
IEEE Access (2020) Vol. 8, pp. 121513-121525
Open Access | Times Cited: 20

Showing 20 citing articles:

3D Reconstruction for Motion Blurred Images Using Deep Learning-based Intelligent Systems
Jing Zhang, Keping Yu, Wen Zheng, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 66, Iss. 2, pp. 2087-2104
Open Access | Times Cited: 88
The use of deep learning methods in low-dose computed tomography image reconstruction: a systematic review
Minghan Zhang, Sai Gu, Yuhui Shi
Complex & Intelligent Systems (2022) Vol. 8, Iss. 6, pp. 5545-5561
Open Access | Times Cited: 31
Monitoring Real Time Security Attacks for IoT Systems Using DevSecOps: A Systematic Literature Review
Ahmed Bahaa, Ahmed Abdelaziz, Abdalla Sayed, et al.
Information (2021) Vol. 12, Iss. 4, pp. 154-154
Open Access | Times Cited: 28
CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives
Yiming Lei, Chuang Niu, Junping Zhang, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2023) Vol. 8, Iss. 2, pp. 153-172
Open Access | Times Cited: 12
A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction
Hameedur Rahman, Abdur Rehman Khan, Touseef Sadiq, et al.
Tomography (2023) Vol. 9, Iss. 6, pp. 2158-2189
Open Access | Times Cited: 9
A Semiautomatic Image Processing-Based Method for Binary Segmentation of Lungs in Computed Tomography Images
Leo Ramos, Israel Pineda
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 2
A systematic literature review: Real-time 3D reconstruction method for telepresence system
Fazliaty Edora Fadzli, Ajune Wanis Ismail, Shafina Abd Karim Ishigaki
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0287155-e0287155
Open Access | Times Cited: 6
3D‐FEGNet: A feature enhanced point cloud generation network from a single image
Ende Wang, Hui Sun, Bing Wang, et al.
IET Computer Vision (2022) Vol. 17, Iss. 1, pp. 98-110
Open Access | Times Cited: 8
Super-Resolution Swin Transformer and Attention Network for Medical CT Imaging
Jianhua Hu, Shuzhao Zheng, Bo Wang, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 8
A Displacement Estimated Method for Real Time Tissue Ultrasound Elastography
Hong-an Li, Min Zhang, Keping Yu, et al.
Mobile Networks and Applications (2021) Vol. 26, Iss. 5, pp. 2014-2023
Open Access | Times Cited: 8
Clifford Geometric Algebra-Based Approach for 3D Modeling of Agricultural Images Acquired by UAVs
Prince Waqas Khan, Yung-Cheol Byun, Muhammad Ahsan Latif
IEEE Access (2020) Vol. 8, pp. 226297-226308
Open Access | Times Cited: 7
3D reconstruction of bone CT scan images based on deformable convex hull
Tao Liu, Yonghua Lu, Jiajun Xu, et al.
Medical & Biological Engineering & Computing (2023)
Closed Access | Times Cited: 2
RETRACTED: Internet of things medical image detection and pediatric renal failure dialysis complicated with respiratory tract infection
Bo Jin, Yuting Zhao, Liang Yu-qing
Microprocessors and Microsystems (2021) Vol. 83, pp. 104016-104016
Closed Access | Times Cited: 5
Survey on Machine Learning Algorithm for Leaf Disease Detection Using Image Processing Techniques
A Dinesh, M. Maragatharajan, S. P. Balakannan
Lecture notes in networks and systems (2022), pp. 681-689
Closed Access | Times Cited: 2
D-MSCD: Mean-Standard Deviation Curve Descriptor Based on Deep Learning
Zhanqiang Huo, Guangxing Du, Fen Luo, et al.
IEEE Access (2020) Vol. 8, pp. 204509-204517
Open Access | Times Cited: 2
RETRACTED: Real time monitoring of medical images and nursing intervention after heart valve replacement
Liqun Xing, Yan Xia, Shiying Ren
Microprocessors and Microsystems (2020) Vol. 82, pp. 103766-103766
Closed Access | Times Cited: 2
Using 2.5D Sketches for 3D Point Cloud Reconstruction from A Single Image
Dongyi Yao, Fengqi Li, Yi Wang, et al.
(2021) Vol. 2, pp. 92-98
Closed Access | Times Cited: 1
3D Reconstruction Methods Purporting 3D Visualization and Volume Estimation of Brain Tumors
Sushitha Susan Joseph, Aju Dennisan
International Journal of e-Collaboration (2021) Vol. 18, Iss. 1, pp. 1-18
Closed Access | Times Cited: 1
CloudUP—Upsampling Vibrant Color Point Clouds Using Multi-Scale Spatial Attention
Yongju Cho, Rimsha Tariq, Usama Hassan, et al.
IEEE Access (2023) Vol. 11, pp. 128569-128579
Open Access
Current status of deep learning in abdominal image reconstruction
Guangyuan Li, Chengyan Wang, Jun Lv
Artificial Intelligence in Medical Imaging (2021) Vol. 2, Iss. 4, pp. 86-94
Open Access
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