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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:

An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review
Suchismita Das, Gopal Krishna Nayak, Luca Saba, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105273-105273
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

A review on brain tumor segmentation based on deep learning methods with federated learning techniques
Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102313-102313
Open Access | Times Cited: 46
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, et al.
EClinicalMedicine (2024) Vol. 73, pp. 102660-102660
Open Access | Times Cited: 28
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias
Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, et al.
IEEE Access (2022) Vol. 11, pp. 595-645
Open Access | Times Cited: 48
Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models
Nillmani, Pankaj K. Jain, Neeraj Sharma, et al.
Diagnostics (2022) Vol. 12, Iss. 3, pp. 652-652
Open Access | Times Cited: 41
Brain Tumor Detection using VGG19 model on Adadelta and SGD Optimizer
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, et al.
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022)
Closed Access | Times Cited: 40
Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
Pankaj K. Jain, Abhishek Dubey, Luca Saba, et al.
Journal of Cardiovascular Development and Disease (2022) Vol. 9, Iss. 10, pp. 326-326
Open Access | Times Cited: 39
A systematic analysis of magnetic resonance images and deep learning methods used for diagnosis of brain tumor
Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23929-23966
Closed Access | Times Cited: 32
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation
Sanjay Saxena, Biswajit Jena, Bibhabasu Mohapatra, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106492-106492
Closed Access | Times Cited: 30
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1954-1954
Open Access | Times Cited: 24
A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features
Hareem Kibriya, Rashid Amin, Jinsul Kim, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4693-4693
Open Access | Times Cited: 24
Attention-based multimodal glioma segmentation with multi-attention layers for small-intensity dissimilarity
Xiangbin Liu, Shufen Hou, Shuai Liu, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 4, pp. 183-195
Open Access | Times Cited: 23
Deep learning models for ischemic stroke lesion segmentation in medical images: A survey
Jialin Luo, Peishan Dai, Zhuang He, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108509-108509
Closed Access | Times Cited: 11
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: 10
Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai)Bias 2.0: A Systematic Review
Jasjit S. Suri, Sushant Agarwal, Biswajit Jena, et al.
IEEE Transactions on Instrumentation and Measurement (2022), pp. 1-1
Open Access | Times Cited: 35
Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment
Pankaj K. Jain, Neeraj Sharma, Mannudeep K. Kalra, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106017-106017
Closed Access | Times Cited: 32
Artificial intelligence bias in medical system designs: a systematic review
Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 18005-18057
Open Access | Times Cited: 21
A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation
Qi Zhang, Yinglu Liang, Yi Zhang, et al.
International Journal of Medical Informatics (2023) Vol. 171, pp. 104984-104984
Closed Access | Times Cited: 20
Integration of lanthanide MOFs/methylcellulose-based fluorescent sensor arrays and deep learning for fish freshness monitoring
Xia Xu, Xiaoyi Wang, Yicheng Ding, et al.
International Journal of Biological Macromolecules (2024) Vol. 265, pp. 131011-131011
Closed Access | Times Cited: 7
Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review
Archana Bathula, Suneet Kumar Gupta, M. Suresh, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 7
Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study
Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 22, pp. 6844-6844
Open Access | Times Cited: 26
Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report
Narendra N. Khanna, Mahesh Maindarkar, Anudeep Puvvula, et al.
Journal of Cardiovascular Development and Disease (2022) Vol. 9, Iss. 8, pp. 268-268
Open Access | Times Cited: 25
NDNN based U-Net: An Innovative 3D Brain Tumor Segmentation Method
Sandeep Trivedi, Nikhil Patel, Nuruzzaman Faruqui
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2022), pp. 0538-0546
Closed Access | Times Cited: 24
A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data
Siva Skandha Sanagala, Mohit Agarwal, Kumar Utkarsh, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 23, pp. 20915-20937
Closed Access | Times Cited: 23
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
Kashfia Sailunaz, Deniz Beştepe, Sleiman Alhajj, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284418-e0284418
Open Access | Times Cited: 15
Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm
Jaskaran Singh, Narpinder Singh, Mostafa M. Fouda, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2092-2092
Open Access | Times Cited: 15
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