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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:

TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach
Amirhossein Aghamohammadi, Ramin Ranjbarzadeh, Fatemeh Naiemi, et al.
Expert Systems with Applications (2021) Vol. 183, pp. 115406-115406
Open Access | Times Cited: 80

Showing 26-50 of 80 citing articles:

Dense Convolutional Neural Network for Detection of Cancer from CT Images
S. V. N. Sreenivasu, S. Gomathi, M. Jogendra Kumar, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 18
Automatic Segmentation Using Deep Convolutional Neural Networks for Tumor CT Images
Yunbo Li, Xiaofeng Li
International Journal of Pattern Recognition and Artificial Intelligence (2023) Vol. 37, Iss. 03
Open Access | Times Cited: 9
Cross-lingual Sentiment Analysis of Tamil Language Using a Multi-stage Deep Learning Architecture
V. Jothi Prakash, S. Arul Antran Vijay
ACM Transactions on Asian and Low-Resource Language Information Processing (2023) Vol. 22, Iss. 12, pp. 1-28
Closed Access | Times Cited: 9
Stochastic configuration networks with improved supervisory mechanism
Jing Nan, Wei Dai, Dianhui Wang
Information Sciences (2024) Vol. 677, pp. 120885-120885
Closed Access | Times Cited: 3
A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images
Amish Kumar, Palash Ghosal, Soumya Snigdha Kundu, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107157-107157
Closed Access | Times Cited: 15
CMFCUNet: cascaded multi-scale feature calibration UNet for pancreas segmentation
Chengjian Qiu, Yuqing Song, Zhe Liu, et al.
Multimedia Systems (2022) Vol. 29, Iss. 2, pp. 871-886
Closed Access | Times Cited: 15
Brain Tumor Segmentation based on an Optimized Convolutional Neural Network and an Improved Chimp Optimization Algorithm
Ramin Ranjbarzadeh, Payam Zarbakhsh, Annalina Caputo, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 14
When liver disease diagnosis encounters deep learning: Analysis, challenges, and prospects
Yingjie Tian, Minghao Liu, Yu Sun, et al.
iLiver (2023) Vol. 2, Iss. 1, pp. 73-87
Open Access | Times Cited: 8
A deep learning approach for liver cancer detection in CT scans
Usman Hameed, Mujeeb Ur Rehman, Amjad Rehman, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 7
Closed Access | Times Cited: 8
RETRACTED: Modified Locust Swarm optimizer for oral cancer diagnosis
Huan Ding, Qirui Huang, Dragan Rodriguez
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104645-104645
Closed Access | Times Cited: 7
PSO-PSP-Net + InceptionV3: An optimized hyper-parameter tuned Computer-Aided Diagnostic model for liver tumor detection using CT scan slices
Jaspreet Kaur, Prabhpreet Kaur
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106442-106442
Closed Access | Times Cited: 2
Premature Ventricular Contraction Recognition Based on a Deep Learning Approach
N. Sarshar, Mohammad Mirzaei
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 11
Densely Connected U-Net With Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images
Qiang Li, Hong Song, Zenghui Wei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 6, pp. 3399-3410
Closed Access | Times Cited: 11
An active contour model reinforced by convolutional neural network and texture description
Mosayyeb Nouri, Yasser Baleghi
Neurocomputing (2023) Vol. 528, pp. 125-135
Closed Access | Times Cited: 6
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: 5
Car detection and damage segmentation in the real scene using a deep learning approach
Mahboub Parhizkar, Majid Amirfakhrian
International Journal of Intelligent Robotics and Applications (2022) Vol. 6, Iss. 2, pp. 231-245
Closed Access | Times Cited: 9
ISP-Net: Fusing features to predict ischemic stroke infarct core on CT perfusion maps
Haichen Zhu, Yang Chen, Tianyu Tang, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106630-106630
Closed Access | Times Cited: 8
Liver Lesion Detection Using Semantic Segmentation and Chaotic Cuckoo Search Algorithm
R. Murugesan, K. Devaki
Information Technology And Control (2023) Vol. 52, Iss. 3, pp. 761-775
Open Access | Times Cited: 4
Improving of Smart Health Houses: Identifying Emotion Recognition using Facial Expression Analysis
Yang Shi, Yanbin Bu
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Integration of Fuzzy Logic and Soft Computing Approaches for the Detection and Classification of Liver Cancer
Mohammad Alamgeer
Acta Scientific Cancer Biology (2024), pp. 12-25
Open Access | Times Cited: 1
TRANSFORMER BASED ATTENTION GUIDED NETWORK FOR SEGMENTATION AND HYBRID NETWORK FOR CLASSIFICATION OF LIVER TUMOR FROM CT SCAN IMAGES
S. Stephe, Santosh Kumar B., Arunadevi Thirumalraj, et al.
Eastern Ukrainian Medical Journal (2024) Vol. 12, Iss. 3, pp. 692-710
Open Access | Times Cited: 1
Challenges and solutions of deep learning-based automated liver segmentation: A systematic review
Vahideh Ghobadi, Luthffi Idzhar Ismail, Wan Zuha Wan Hasan, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109459-109459
Closed Access | Times Cited: 1
AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation
Yang Li, Beiji Zou, Peishan Dai, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 4052-4061
Closed Access | Times Cited: 4
Efficient tumor volume measurement and segmentation approach for CT image based on twin support vector machines
Kuppani Sathish, Yerininti Venkata Narayana, M. S. Mekala, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 9, pp. 7199-7207
Closed Access | Times Cited: 6
Design of Semiautomatic Digital Creation System for Electronic Music Based on Recurrent Neural Network
Yonghui Duan, Jianping Wang
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 4

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