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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 Liver Tumor Segmentation in CT Images Using Improved Fuzzy C-Means and Graph Cuts
Weiwei Wu, Shuicai Wu, Zhuhuang Zhou, et al.
BioMed Research International (2017) Vol. 2017, pp. 1-11
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
Xiaomeng Li, Hao Chen, Xiaojuan Qi, et al.
IEEE Transactions on Medical Imaging (2018) Vol. 37, Iss. 12, pp. 2663-2674
Open Access | Times Cited: 2026
Channel-Unet: A Spatial Channel-Wise Convolutional Neural Network for Liver and Tumors Segmentation
Yilong Chen, Kai Wang, Xiangyun Liao, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 133
Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions
Sundeep Singh, Roderick Melnik
Electromagnetic Biology and Medicine (2020) Vol. 39, Iss. 2, pp. 49-88
Open Access | Times Cited: 98
Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images
Liangliang Liu, Fang‐Xiang Wu, Yu‐Ping Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 11, pp. 3215-3225
Closed Access | Times Cited: 89
Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images
Samreen Naeem, Aqib Ali, Salman Qadri, et al.
Applied Sciences (2020) Vol. 10, Iss. 9, pp. 3134-3134
Open Access | Times Cited: 78
OPBS-SSHC: outline preservation based segmentation and search based hybrid classification techniques for liver tumor detection
B Sakthisaravanan, R. Meenakshi
Multimedia Tools and Applications (2020) Vol. 79, Iss. 31-32, pp. 22497-22523
Closed Access | Times Cited: 78
Dynamic adaptive residual network for liver CT image segmentation
Xiwang Xie, Weidong Zhang, Huadeng Wang, et al.
Computers & Electrical Engineering (2021) Vol. 91, pp. 107024-107024
Closed Access | Times Cited: 73
Machine learning based liver disease diagnosis: A systematic review
Rayyan Azam Khan, Yigang Luo, Fang‐Xiang Wu
Neurocomputing (2021) Vol. 468, pp. 492-509
Closed Access | Times Cited: 59
Segmentation of Liver Tumor in CT Scan Using ResU-Net
Muhammad Waheed Sabir, Zia U. Khan, Mohamad Naufal Mohamad Saad, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8650-8650
Open Access | Times Cited: 43
Application of artificial intelligence-based computer vision methods in liver diseases: a bibliometric analysis
Yutian Feng, Qi Wang, Yuxin Su, et al.
Intelligent Medicine (2025)
Open Access | Times Cited: 1
A Multiple Layer U-Net, Un-Net, for Liver and Liver Tumor Segmentation in CT
Song-Toan Tran, Ching-Hwa Cheng, Don‐Gey Liu
IEEE Access (2020) Vol. 9, pp. 3752-3764
Open Access | Times Cited: 69
Risk Assessment of Computer-Aided Diagnostic Software for Hepatic Resection
Yusuf Akhtar, Sarada Prasad Dakua, Alhusain Abdalla, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2021) Vol. 6, Iss. 6, pp. 667-677
Closed Access | Times Cited: 50
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
GA-UNet: UNet-based framework for segmentation of 2D and 3D medical images applicable on heterogeneous datasets
Amrita Kaur, Lakhwinder Kaur, Ashima Singh
Neural Computing and Applications (2021) Vol. 33, Iss. 21, pp. 14991-15025
Closed Access | Times Cited: 34
Thresholding for medical image segmentation for cancer using fuzzy entropy with level set algorithm
Ismail Yaqub Maolood, Yahya Eneid Abdulridha Al-Salhi, Songfeng Lu
Open Medicine (2018) Vol. 13, Iss. 1, pp. 374-383
Open Access | Times Cited: 39
An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks
José Denes Lima Araújo, Luana Batista da Cruz, Jonnison Lima Ferreira, et al.
Expert Systems with Applications (2021) Vol. 180, pp. 115064-115064
Closed Access | Times Cited: 30
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
Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans
Ahmed M. Anter, Siddhartha Bhattacharyya, Zhiguo Zhang
Applied Soft Computing (2020) Vol. 96, pp. 106677-106677
Closed Access | Times Cited: 29
Computer-assisted needle trajectory planning and mathematical modeling for liver tumor thermal ablation: A review
Rui Zhang, Shuicai Wu, Weiwei Wu, et al.
Mathematical Biosciences & Engineering (2019) Vol. 16, Iss. 5, pp. 4846-4872
Open Access | Times Cited: 29
Deep learning based genome analysis and NGS-RNA LL identification with a novel hybrid model
Madhumitha Ramamurthy, Ilango Krishnamurthi, S. Vimal, et al.
Biosystems (2020) Vol. 197, pp. 104211-104211
Closed Access | Times Cited: 27
Chemotherapeutic nanomaterials in tumor boundary delineation: Prospects for effective tumor treatment
Ozioma Udochukwu Akakuru, Zhoujing Zhang, M. Zubair Iqbal, et al.
Acta Pharmaceutica Sinica B (2022) Vol. 12, Iss. 6, pp. 2640-2657
Open Access | Times Cited: 16
GAN-Driven Liver Tumor Segmentation: Enhancing Accuracy in Biomedical Imaging
Ankur Biswas, Santi P. Maity, Rita Banik, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 3
Segmentation of Liver Tumors by Monai and PyTorch in CT Images with Deep Learning Techniques
S Ullah Muhammad, Jing Zhang
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5144-5144
Open Access | Times Cited: 3
Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation
Zhuofu Deng, Qingzhe Guo, Zhiliang Zhu
Journal of Healthcare Engineering (2019) Vol. 2019, pp. 1-17
Open Access | Times Cited: 25
Pyramid graph cut: Integrating intensity and gradient information for grayscale medical image segmentation
Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy
Computers in Biology and Medicine (2020) Vol. 126, pp. 103997-103997
Closed Access | Times Cited: 23
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