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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:

Automatic liver tumor segmentation from CT images using hierarchical iterative superpixels and local statistical features
Shuanhu Di, Yuqian Zhao, Miao Liao, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117347-117347
Closed Access | Times Cited: 24

Showing 24 citing articles:

Accurate multilevel thresholding image segmentation via oppositional Snake Optimization algorithm: Real cases with liver disease
Essam H. Houssein, Nada Abdalkarim, Kashif Hussain, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107922-107922
Closed Access | Times Cited: 27
Cascading Autoencoder With Attention Residual U-Net for Multi-Class Plant Leaf Disease Segmentation and Classification
S. Abinaya, K. Kumar, A. Sherly Alphonse
IEEE Access (2023) Vol. 11, pp. 98153-98170
Open Access | Times Cited: 20
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Ayman Al‐Kababji, Fayçal Bensaali, Sarada Prasad Dakua, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105532-105532
Open Access | Times Cited: 22
Livernet based segmentation of lesions from computed tomography scan for liver tumor detection
Priyan Malarvizhi Kumar, Hardik Gohel, S. Jeeva, et al.
Intelligent Data Analysis (2025)
Closed Access
HDTN: hybrid duo-transformer network for liver and hepatic tumor segmentation in CT images
D. Mohanapriya, T. Guna Sekar
Evolving Systems (2025) Vol. 16, Iss. 1
Closed Access
DRDA-Net: Deep Residual Dual-Attention Network with Multi-Scale Approach for Enhancing Liver and Tumor Segmentation from CT Images
Wail M. Idress, Yuqian Zhao, Khalid A. Abouda, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2311-2311
Open Access
Multi-Attention Segmentation Networks Combined with the Sobel Operator for Medical Images
Fangfang Lu, Chi Tang, Tianxiang Liu, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2546-2546
Open Access | Times Cited: 12
Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network
Maryam Khoshkhabar, Saeed Meshgini, Reza Afrouzian, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7561-7561
Open Access | Times Cited: 11
Direction-guided and multi-scale feature screening for fetal head–pubic symphysis segmentation and angle of progression calculation
Zhensen Chen, Zhanhong Ou, Yaosheng Lu, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123096-123096
Closed Access | Times Cited: 9
Liver Tumor Segmentation and Classification Using Deep Learning
M. Amritha, P. Manimegalai
(2023), pp. 01-07
Closed Access | Times Cited: 7
Image enhancement and microstructure characterization of energy dispersive X-ray spectroscopy images of blended cement pastes
Lihui Li, Jian Yang
Expert Systems with Applications (2024) Vol. 247, pp. 123293-123293
Closed Access | Times Cited: 2
A Novel Liver Tumor segmentation of Adverse Propagation Advanced Swin Transformer Network with Mask region-based convolutional neural networks
M. Kasipandi, C. P. Chandran, S. Rajathi
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 9, pp. 100632-100632
Open Access | Times Cited: 2
Deep Learning Technique for automatic Liver and Liver Tumor Segmentation in CT Images
Yashaswini Gowda N, D. Manjunath, Singapogu Ravikiran B., et al.
Journal of Liver Transplantation (2024), pp. 100251-100251
Open Access | Times Cited: 2
Content-aware Nakagami morphing for incremental brain MRI
Orcan Alpar
Knowledge-Based Systems (2024) Vol. 291, pp. 111575-111575
Closed Access | Times Cited: 1
Siamese semi-disentanglement network for robust PET-CT segmentation
Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119855-119855
Closed Access | Times Cited: 3
DSLSM: Dual-kernel-induced statistic level set model for image segmentation
Fan Zhang, Huiying Liu, Xiaojun Duan, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122772-122772
Closed Access | Times Cited: 3
Three-Direction Fusion for Accurate Volumetric Liver and Tumor Segmentation
Feng Zhan, Wenwu Wang, Qian Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 2175-2186
Closed Access | Times Cited: 3
Iterative learning for maxillary sinus segmentation based on bounding box annotations
Xinli Xu, Kaidong Wang, Chengze Wang, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33263-33293
Closed Access | Times Cited: 2
Liver segmentation using marker controlled watershed transform
Kiran Malhari Napte, Anurag Mahajan
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 2, pp. 1541-1541
Open Access | Times Cited: 3
A Modified Fuzzy Markov Random Field Incorporating Multiple Features for Liver Tumor Segmentation
Laquan Li, Yan Jiang
Lecture notes in computer science (2024), pp. 352-363
Closed Access
Automatic liver segmentation using U-Net deep learning architecture for additive manufacturing
Jayant Giri, T. Sathish, Taukeer Sheikh, et al.
Deleted Journal (2024) Vol. 245, Iss. 1
Closed Access
Elucidating the novel framework of liver tumour segmentation and classification using improved Optimization-assisted EfficientNet B7 learning model
Sholingapuram Dharaneswar, B.P. Santosh Kumar
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107045-107045
Closed Access
Improving breast tumor segmentation via shape-wise prior-guided information on cone-beam breast CT images
Tongxu Lin, Junyu Lin, Guoheng Huang, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 14, pp. 145015-145015
Closed Access | Times Cited: 1
Direction-Guided and Multi-Scale Feature Screening for Fetal Head-Pubic Symphysis Segmentation and Angle of Progression Calculation
Zhensen Chen, Zhanhong Ou, Yaosheng Lu, et al.
(2023)
Closed Access
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