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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:

Semi-automatic liver tumor segmentation with adaptive region growing and graph cuts
Zhen Yang, Yuqian Zhao, Miao Liao, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102670-102670
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

TD-Net: A Hybrid End-to-End Network for Automatic Liver Tumor Segmentation From CT Images
Shuanhu Di, Yuqian Zhao, Miao Liao, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 3, pp. 1163-1172
Closed Access | Times Cited: 39
EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images
Xiaolei Qu, Jiale Zhou, Jue Jiang, et al.
Information Fusion (2024) Vol. 109, pp. 102430-102430
Closed Access | Times Cited: 9
Efficient two-step liver and tumour segmentation on abdominal CT via deep learning and a conditional random field
Ying Chen, Cheng Zheng, Fei Hu, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106076-106076
Closed Access | Times Cited: 34
Liver Tumor Localization Based on YOLOv3 and 3D-Semantic Segmentation Using Deep Neural Networks
Javeria Amin, Muhammad Almas Anjum, Muhammad Sharif, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 823-823
Open Access | Times Cited: 28
Barnacles Mating Optimizer with Deep Transfer Learning Enabled Biomedical Malaria Parasite Detection and Classification
Ashit Kumar Dutta, R. Uma Mageswari, A. Gayathri, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 21
A method framework of cruciate ligaments segmentation and reconstruction from MRI images
Ahsan Humayun, Bin Liu, Mustafain Rehman, et al.
Technology and Health Care (2025)
Closed Access
Efficient Liver Segmentation using Advanced 3D-DCNN Algorithm on CT Images
S. Subha, U. Kumaran
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19324-19330
Open Access
Unified automated deep learning framework for segmentation and classification of liver tumors
S Saumiya, S. Wilfred Franklin
The Journal of Supercomputing (2023) Vol. 80, Iss. 2, pp. 2347-2380
Closed Access | Times Cited: 9
MAPFUNet: Multi-attention Perception-Fusion U-Net for Liver Tumor Segmentation
Junding Sun, Biao Wang, Xiaosheng Wu, et al.
Journal of Bionic Engineering (2024) Vol. 21, Iss. 5, pp. 2515-2539
Closed Access | Times Cited: 3
Residual Deformable Split Channel and Spatial U-Net for Automated Liver and Liver Tumour Segmentation
S Saumiya, S. Wilfred Franklin
Journal of Digital Imaging (2023) Vol. 36, Iss. 5, pp. 2164-2178
Closed Access | Times Cited: 7
Setting the regularization coefficient based on image energy in image segmentation using kernel graph cut algorithm
Mehrnaz Niazi, Kambiz Rahbar
Journal of Electronic Imaging (2024) Vol. 33, Iss. 02
Closed Access | Times Cited: 2
Brain tumour segmentation of MR images based on custom attention mechanism with transfer‐learning
Marjan Vatanpour, Javad Haddadnia
IET Image Processing (2023) Vol. 18, Iss. 4, pp. 886-896
Open Access | Times Cited: 4
Automatic liver segmentation from CT volumes based on multi-view information fusion and condition random fields
Zhen Xia, Miao Liao, Shuanhu Di, et al.
Optics & Laser Technology (2024) Vol. 179, pp. 111298-111298
Closed Access | Times Cited: 1
RCI-Seg: Robust click-based interactive segmentation framework with deep reinforcement learning for biomedical images
Zhiqiang Tian, Yueming He, Lei Sun, et al.
Neurocomputing (2024) Vol. 601, pp. 128184-128184
Closed Access | Times Cited: 1
A coarse-to-fine full attention guided capsule network for medical image segmentation
Jingjing Wan, Suyang Yue, Ma Juan, et al.
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103682-103682
Closed Access | Times Cited: 6
An efficient image segmentation method based on expectation maximization and Salp swarm algorithm
Ehsan Ehsaeyan
Multimedia Tools and Applications (2023) Vol. 82, Iss. 26, pp. 40625-40655
Open Access | Times Cited: 3
The Development of an Automatic Rib Sequence Labeling System on Axial Computed Tomography Images with 3-Dimensional Region Growing
Yu Jin Seol, So Hyun Park, Young Jae Kim, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4530-4530
Open Access | Times Cited: 5
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K‐means clustering
Vaidehi Nayantara Pattwakkar, Surekha Kamath, K. Manjunath, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 2, pp. 729-745
Closed Access | Times Cited: 5
Automatic multi-organ segmentation from abdominal CT volumes with LLE-based graph partitioning and 3D Chan-Vese model
Ping Tang, Yuqian Zhao, Miao Liao
Computers in Biology and Medicine (2021) Vol. 139, pp. 105030-105030
Closed Access | Times Cited: 6
Computer Vision with Machine Learning Enabled Skin Lesion Classification Model
Romany F. Mansour, Sara A. Althubiti, Fayadh Alenezi
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 1, pp. 849-864
Open Access | Times Cited: 4
Shape-Aware Diffusion Model for Tumor Segmentation on Gd-EOB-DTPA MRI Images of Hepatocellular Carcinoma
Ruodai Wu, Peng Yue, Bing Xiong, et al.
Lecture notes in computer science (2023), pp. 131-139
Closed Access | Times Cited: 1
Enhancing pore network extraction performance via seed-based pore region growing segmentation
Zohaib Atiq Khan, Jeff T. Gostick
Advances in Water Resources (2023) Vol. 183, pp. 104591-104591
Closed Access | Times Cited: 1
A Detection Algorithm for Metal-Bearing Roller Microcracks with Global Contrast and Threshold Region Growth
Nanxing Wu, Junxiong Liu, Rumeng Zhang, et al.
Journal of Materials Engineering and Performance (2024)
Closed Access
A dense kernel point convolutional neural network for chronic liver disease classification with hybrid chaotic slime mould and giant trevally optimizer
R. Saranya, R Jaichandran
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107219-107219
Closed Access
Intelligent Diagnosis of Pediatric Vascular Diseases Using Ultrasound Imaging
Yuwei Cai, Xia Gong, Jian-Kuen Wu, et al.
(2024), pp. 16-20
Closed Access
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