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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 1-25 of 80 citing articles:

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Ramin Ranjbarzadeh, Annalina Caputo, Erfan Babaee Tırkolaee, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106405-106405
Closed Access | Times Cited: 144
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106443-106443
Open Access | Times Cited: 59
MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
Ramin Ranjbarzadeh, N. Sarshar, Saeid Jafarzadeh Ghoushchi, et al.
Annals of Operations Research (2022) Vol. 328, Iss. 1, pp. 1021-1042
Closed Access | Times Cited: 53
A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari, et al.
Cognitive Computation (2022) Vol. 16, Iss. 4, pp. 1979-1991
Closed Access | Times Cited: 45
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, et al.
Neural Networks (2023) Vol. 169, pp. 637-659
Closed Access | Times Cited: 31
ETACM: an encoded-texture active contour model for image segmentation with fuzzy boundaries
Ramin Ranjbarzadeh, Soroush Sadeghi, Aida Fadaeian, et al.
Soft Computing (2023)
Closed Access | Times Cited: 23
Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches
Yan Xu, Rixiang Quan, Weiting Xu, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1034-1034
Open Access | Times Cited: 12
Liver segmentation from computed tomography images using cascade deep learning
José Denes Lima Araújo, Luana Batista da Cruz, João Otávio Bandeira Diniz, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105095-105095
Closed Access | Times Cited: 47
Investigation of Effectiveness of Shuffled Frog-Leaping Optimizer in Training a Convolution Neural Network
Soroush Baseri Saadi, N. Sarshar, Soroush Sadeghi, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 32
DeePOF: A hybrid approach of deep convolutional neural network and friendship to Point‐of‐Interest (POI) recommendation system in location‐based social networks
Sadaf Safavi, Mehrdad Jalali
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 15
Open Access | Times Cited: 29
Glioma Brain Tumor Segmentation in Four MRI Modalities Using a Convolutional Neural Network and Based on a Transfer Learning Method
N. Sarshar, Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, et al.
Smart innovation, systems and technologies (2022), pp. 386-402
Closed Access | Times Cited: 29
DenseUNet+: A novel hybrid segmentation approach based on multi-modality images for brain tumor segmentation
Halit ÇETİNER, Sedat Metlek
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101663-101663
Open Access | Times Cited: 18
A hybrid model for diabetic retinopathy and diabetic macular edema severity grade classification
A. S. Sabeena, M. K. Jeyakumar
International Journal of Diabetes in Developing Countries (2025)
Closed Access
Residual u-net with Self-Attention based deep convolutional adaptive capsule network for liver cancer segmentation and classification
R Archana, L. Anand
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107665-107665
Closed Access
Brain tumor segmentation with deep learning: Current approaches and future perspectives
Akash Verma, Arun Kumar Yadav
Journal of Neuroscience Methods (2025), pp. 110424-110424
Closed Access
Correlation between microstructures and macroscopic properties of nickel/yttria-stabilized zirconia (Ni-YSZ) anodes: Meso-scale modeling and deep learning with convolutional neural networks
Xuhao Liu, Shihao Zhou, Zilin Yan, et al.
Energy and AI (2021) Vol. 7, pp. 100122-100122
Open Access | Times Cited: 35
Presentation of a Segmentation Method for a Diabetic Retinopathy Patient’s Fundus Region Detection Using a Convolutional Neural Network
Amin Valizadeh, Saeid Jafarzadeh Ghoushchi, Ramin Ranjbarzadeh, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 32
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
Deep transfer learning for IDC breast cancer detection using fast AI technique and Sqeezenet architecture
Sushovan Chaudhury, Kartik Sau, Muhammad Attique Khan, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 10404-10427
Open Access | Times Cited: 12
A unique color-coded visualization system with multimodal information fusion and deep learning in a longitudinal study of Alzheimer's disease
Mohammad Eslami, Solale Tabarestani, Malek Adjouadi
Artificial Intelligence in Medicine (2023) Vol. 140, pp. 102543-102543
Open Access | Times Cited: 12
Enhanced TumorNet: Leveraging YOLOv8s and U-Net for Superior Brain Tumor Detection and Segmentation Utilizing MRI Scans
Wisal Zafar, Ghassan Husnain, Abid Iqbal, et al.
Results in Engineering (2024), pp. 102994-102994
Open Access | Times Cited: 4
Osteolysis: A Literature Review of Basic Science and Potential Computer‐Based Image Processing Detection Methods
Soroush Baseri Saadi, Ramin Ranjbarzadeh, O Kazemi, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 27
A diagnosis system by U-net and deep neural network enabled with optimal feature selection for liver tumor detection using CT images
Munipraveena Rela, Nagaraja Rao Suryakari, Ramana Reddy Patil
Multimedia Tools and Applications (2022) Vol. 82, Iss. 3, pp. 3185-3227
Closed Access | Times Cited: 21
A review of deep learning-based approaches for defect detection in smart manufacturing
Zhitao Jia, Meng Wang, Shiming Zhao
Journal of Optics (2023) Vol. 53, Iss. 2, pp. 1345-1351
Closed Access | Times Cited: 11
Literature survey on deep learning methods for liver segmentation from CT images: a comprehensive review
S. S. Kumar, Vinod Kumar R. S.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 71833-71862
Closed Access | Times Cited: 3
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