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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:

Efficient Liver Segmentation from Computed Tomography Images Using Deep Learning
Mubashir Ahmad, Syed Furqan Qadri, Muhammad Usman Ashraf, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Recent Advancements and Future Prospects in Active Deep Learning for Medical Image Segmentation and Classification
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
IEEE Access (2023) Vol. 11, pp. 113623-113652
Open Access | Times Cited: 27
A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique
Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, et al.
IEEE Access (2024) Vol. 12, pp. 29252-29268
Open Access | Times Cited: 5
A feature-based approach for atlas selection in automatic pelvic segmentation
Guoping Shan, Bai Xue, Yun Ge, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0317801-e0317801
Open Access
A Method for Automatic Feature Points Extraction of Pelvic Surface Based on PointMLP_RegNet
Wei Kou, Rui Zhou, Hongmiao Zhang, et al.
CAAI Transactions on Intelligence Technology (2025)
Open Access
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: 4
Ensemble Transfer Learning for Fetal Head Analysis: From Segmentation to Gestational Age and Weight Prediction
Mahmood Alzubaidi, Marco Agus, Uzair Shah, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2229-2229
Open Access | Times Cited: 20
Facial expression recognition using lightweight deep learning modeling
Mubashir Ahmad, Saira, Omar Alfandi, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 8208-8225
Open Access | Times Cited: 11
SDE-YOLO: A Novel Method for Blood Cell Detection
Yonglin Wu, Dongxu Gao, Yinfeng Fang, et al.
Biomimetics (2023) Vol. 8, Iss. 5, pp. 404-404
Open Access | Times Cited: 10
Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features
Ghazanfar Latif, Hamdy Morsy, Asmaa Hassan, et al.
Viruses (2022) Vol. 14, Iss. 8, pp. 1667-1667
Open Access | Times Cited: 12
Multi-Convolutional Channel Residual Spatial Attention U-Net for Industrial and Medical Image Segmentation
Haoyu Chen, Kyungbaek Kim
IEEE Access (2024) Vol. 12, pp. 76089-76101
Open Access | Times Cited: 2
A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques
Jaspreet Kaur, Prabhpreet Kaur
Computers in Biology and Medicine (2024) Vol. 179, pp. 108910-108910
Closed Access | Times Cited: 2
Improved Colorectal Polyp Segmentation Using Enhanced MA-NET and Modified Mix-ViT Transformer
Khaled ELKarazle, Valliappan Raman, Patrick Then, et al.
IEEE Access (2023) Vol. 11, pp. 69295-69309
Open Access | Times Cited: 6
Recognition Method for Broiler Sound Signals Based on Multi-Domain Sound Features and Classification Model
Weige Tao, Guotao Wang, Zhigang Sun, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7935-7935
Open Access | Times Cited: 8
Machine Learning Enabled 3D Body Measurement Estimation Using Hybrid Feature Selection and Bayesian Search
Xuebo Liu, Yingying Wu, Hongyu Wu
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7253-7253
Open Access | Times Cited: 6
A classification algorithm based on improved meta learning and transfer learning for few‐shot medical images
Zhang Bingjie, Baolu Gao, Siyuan Liang, et al.
IET Image Processing (2023) Vol. 17, Iss. 12, pp. 3589-3598
Open Access | Times Cited: 3
Deep Learning based Liver Segmentation: A Review
Kiran Napte, Anurag Mahajan
Revue d intelligence artificielle (2022) Vol. 36, Iss. 6, pp. 979-984
Open Access | Times Cited: 4
Light Gradient-Boosting Machine Edge Detection With Cropping Layer for Semantic Segmentation of Pancreas
Wilson Bakasa, Serestina Viriri
Advances in Artificial Intelligence and Machine Learning (2023) Vol. 03, Iss. 03, pp. 1274-1294
Open Access | Times Cited: 2
Cyclical Learning Rate Optimization on Deep Learning Model for Brain Tumor Segmentation
Aziz Fajar, Riyanarto Sarno, Chastine Fatichah, et al.
IEEE Access (2023) Vol. 11, pp. 119802-119810
Open Access | Times Cited: 2
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
Esha Gawate, Snehal V. Laddha, Rohini S. Ochawar
Lecture notes in networks and systems (2024), pp. 101-115
Closed Access
A Combined Ensemble Model (CEM) for a Liver Cancer Detection System
T. Sumellika, R. Satya Prasad
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access
Automatic liver segmentation from CT volumes based on multi-view information fusion and condition random fields
Zhen Xia, Miao Liao, Shuanhu Di, et al.
Optics & Laser Technology (2024) Vol. 179, pp. 111298-111298
Closed Access
Deep learning-based automated liver contouring using a small sample of radiotherapy planning computed tomography images
Nima Arjmandi, Mehdi Momennezhad, Soudeh Arastouei, et al.
Radiography (2024) Vol. 30, Iss. 5, pp. 1442-1450
Closed Access
Raum-Gans: A New Framework for Multiple Sclerosis Segmentation Based on Residual Attention U-Net and Modified Gans
Ahmed Alsayat, Ayman Mohamed Mostafa, Mahmoud Elmezain, et al.
(2024)
Closed Access
Liver Segmentation Using Hybrid UNet and ResNet-Based Deep Learning Model
J. Avanija, Mohammad Gouse Galety, K. Reddy Madhavi, et al.
Advanced technologies and societal change (2024), pp. 339-345
Closed Access
TGRA-P: Task-driven model predicts 90-day mortality from ICU clinical notes on mechanical ventilation
Beiji Zou, Yuting Ding, Jinxiu Li, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 242, pp. 107783-107783
Closed Access | Times Cited: 1
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