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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:

ResUNet+: A New Convolutional and Attention Block-Based Approach for Brain Tumor Segmentation
Sedat Metlek, Halit ÇETİNER
IEEE Access (2023) Vol. 11, pp. 69884-69902
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Developments in Brain Tumor Segmentation Using MRI: Deep Learning Insights and Future Perspectives
Shahid Karim, Geng Tong, Yiting Yu, et al.
IEEE Access (2024) Vol. 12, pp. 26875-26896
Open Access | Times Cited: 8
CellSegUNet: an improved deep segmentation model for the cell segmentation based on UNet++ and residual UNet models
Sedat Metlek
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5799-5825
Open Access | Times Cited: 6
TransSea: Hybrid CNN-Transformer with Semantic Awareness for 3D Brain Tumor Segmentation
Yü Liu, Yize Ma, Zhiqin Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 16-31
Closed Access | Times Cited: 6
Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach
Shoffan Saifullah, Rafał Dreżewski
Lecture notes in computer science (2024), pp. 340-354
Closed Access | Times Cited: 6
Improved Brain Tumor Segmentation Using UNet-LSTM Architecture
S. Saran Raj, K Logeshwaran, Anisha Devi Kalluri, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 5
BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning
Carlos Aumente-Maestro, D. Rodríguez, David Martínez‐Rego, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107490-107490
Closed Access
Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques
Phan Thị Mai Hương, Lam Thanh Hien, Nguyễn Minh Sơn, et al.
Journal of Algorithms & Computational Technology (2025) Vol. 19
Open Access
VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification
Kambham Pratap Joshi, Vishruth B. Gowda, B D Parameshachari, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 2, pp. 29-29
Open Access
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model
K. Bhagyalaxmi, B. Dwarakanath
Neuroinformatics (2025) Vol. 23, Iss. 2
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
Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks
S Anjana, P. M. Siva Raja, K. Rejini, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107838-107838
Closed Access
Target Driven Autoencoder: A Supervised Learning Approach for Tumor Segmentation
Abhishek Das, Saumendra Kumar Mohapatra, Rakesh Kumar Pattanaik, et al.
(2024) Vol. 33, pp. 273-277
Closed Access | Times Cited: 3
Brain tumor segmentation and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network
M. Ramkumar, R. Sarath Kumar, R. Padmapriya, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 1
Closed Access | Times Cited: 2
Deep Learning Techniques in Liver Segmentation: Evaluating U-Net, Attention U-Net, ResNet50, and ResUNet Models
Vaibhavi Chincholkar, Shria Srivastava, Aamey Pawanarkar, et al.
(2024), pp. 775-779
Closed Access | Times Cited: 2
INCEPTION SH: A NEW CNN MODEL BASED ON INCEPTION MODULE FOR CLASSIFYING SCENE IMAGES
Sedat Metlek, Halit ÇETİNER
Mühendislik Bilimleri ve Tasarım Dergisi (2024) Vol. 12, Iss. 2, pp. 328-344
Open Access | Times Cited: 2
EffUNet++: A Novel Architecture for Brain Tumor Segmentation Using FLAIR MRI Images
Agnesh Chandra Yadav, Maheshkumar H. Kolekar, Yash Sonawane, et al.
IEEE Access (2024) Vol. 12, pp. 152430-152443
Open Access | Times Cited: 2
Potato Leaf Disease Segmentation Method Based on Improved UNet
Jun Fu, Yichen Zhao, Gang Wu
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11179-11179
Open Access | Times Cited: 6
Brain Tumor Diagnosis Using Deep Learning: A Literature Review
S. Bhuvaneswari, Joel G. Thomas, S Nithish, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
Advances and Challenges in Brain Tumor Classification and Segmentation: A Comprehensive Review
Kalpana Telkar, K. Anusudha
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access | Times Cited: 1
Advancements in deep learning techniques for brain tumor segmentation: A survey
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 1
ANALYSIS OF DIFFERENT POOLING FUNCTIONS ON A CONVOLUTION NEURAL NETWORK BASED MODEL
Halit ÇETİNER, Sedat Metlek
International Journal of 3D Printing Technologies and Digital Industry (2024) Vol. 8, Iss. 2, pp. 266-276
Open Access | Times Cited: 1
KARAN: Mitigating Feature Heterogeneity and Noise for Efficient and Accurate Multimodal Medical Image Segmentation
Xinjia Gu, Yimin Chen, Weiqin Tong
Electronics (2024) Vol. 13, Iss. 23, pp. 4594-4594
Open Access | Times Cited: 1
Brain Tumor Segmentation Using Modified ResUNET Architecture
Aditya Pathak, Mahek Kamani, R. Priyanka
(2023), pp. 1150-1156
Closed Access | Times Cited: 3
Evrişimli sinir ağları kullanılarak ince kesit görüntülerden hidrotermal alterasyon tespiti
Rıza ÇENET, Emre Ünsal, Oktay Canbaz
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi (2024)
Open Access
Segmentation of Brain Tumor with Deep Learning Models
P. Ramadevi, Motamarri Jaya Naga Venkata Sai, Prathima Srinivas
(2024), pp. 1-6
Closed Access
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