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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:

A Sequential Machine Learning-cum-Attention Mechanism for Effective Segmentation of Brain Tumor
Tahir Muhammad Ali, Ali Nawaz, Attique Ur Rehman, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification
Shahriar Hossain, Amitabha Chakrabarty, Thippa Reddy Gadekallu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1261-1272
Closed Access | Times Cited: 81
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: 44
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 20
Enhancing cervical cancer detection and robust classification through a fusion of deep learning models
Sandeep Kumar Mathivanan, Divya Francis, Saravanan Srinivasan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Ensemble deep learning for brain tumor detection
Shtwai Alsubai, Habib Ullah Khan, Abdullah Alqahtani, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 62
Intrusion detection models for IOT networks via deep learning approaches
Bhukya Madhu, M. Venu Gopalachari, Ramdas Vankdothu, et al.
Measurement Sensors (2022) Vol. 25, pp. 100641-100641
Open Access | Times Cited: 42
Privacy Preserved Cervical Cancer Detection Using Convolutional Neural Networks Applied to Pap Smear Images
Shtwai Alsubai, Abdullah Alqahtani, Mohemmed Sha, et al.
Computational and Mathematical Methods in Medicine (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 21
TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification
Anindya Nag, Hirak Mondal, Md. Mehedi Hassan, et al.
IEEE Access (2024) Vol. 12, pp. 103060-103081
Open Access | Times Cited: 6
Auxiliary Segmentation Method of Osteosarcoma MRI Image Based on Transformer and U-Net
Feng Liu, Jun Zhu, Baolong Lv, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 25
Optimizing brain tumor classification through feature selection and hyperparameter tuning in machine learning models
Mst. Sazia Tahosin, Md. Alif Sheakh, Taminul Islam, et al.
Informatics in Medicine Unlocked (2023) Vol. 43, pp. 101414-101414
Open Access | Times Cited: 13
CovMnet–Deep Learning Model for classifying Coronavirus (COVID-19)
Malathy Jawahar, L. Jani Anbarasi, Vinayakumar Ravi, et al.
Health and Technology (2022) Vol. 12, Iss. 5, pp. 1009-1024
Open Access | Times Cited: 20
Performance Evaluation of the Deep Learning Based Convolutional Neural Network Approach for the Recognition of Chest X-Ray Images
Sandhya Sharma, Sheifali Gupta, Deepali Gupta, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 19
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
Comparative Analysis of Brain Tumor Classification Using Transfer Learning
Noorah Al-Sultan, Hanan Aljuaid
Lecture notes in networks and systems (2025), pp. 233-240
Closed Access
Optimized Machine Learning Techniques for Precise Breast Cancer Detection in Mammograms
Kiran Kiran, V. Veeraprathap, U. Rajashekhar, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
Guarded Diagnosis: Preserving Privacy in Cervical Cancer Detection with Convolutional Neural Networks on Pap Smear Images
R Sanmugasundaram, Hui‐Kai Su, Wen‐Kai Kuo, et al.
(2025), pp. 7-7
Open Access
Identifying Thematics in a Brain‐Computer Interface Research
Hadeel Alharbi
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 9
Enhancing brain tumor segmentation in MRI images using the IC-net algorithm framework
C. S., J. Christopher Clement
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
An efficient computer vision-based approach for acute lymphoblastic leukemia prediction
Ahmad Almadhor, Usman Sattar, Abdullah Al Hejaili, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14
Regional Big Data Application Capability and Firm Green Technology Innovation
Guixiang Cao, Xintong Fang, Chen Ying, et al.
Sustainability (2023) Vol. 15, Iss. 17, pp. 12830-12830
Open Access | Times Cited: 7
High-Resolution Model for Segmenting and Predicting Brain Tumor Based on Deep UNet with Multi Attention Mechanism
Hanaa Al Abboodi, Amera W. Al-funjan, Ahmed Aldhahab, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 294-310
Open Access | Times Cited: 2
Segmentation and Classification of Encephalon Tumor by Applying Improved Fast and Robust FCM Algorithm with PSO-Based ELM Technique
Srikanta Kumar Mohapatra, Premananda Sahu, Jasem Almotiri, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 12
Application of Machine Learning in Intelligent Medical Image Diagnosis and Construction of Intelligent Service Process
Zhihong Gao, Lihua Lou, Meihao Wang, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 12
Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets
Shweta Kharya, Edeh Michael Onyema, Aasim Zafar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 10
G-Net: Implementing an enhanced brain tumor segmentation framework using semantic segmentation design
C. S., Christopher Clement
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0308236-e0308236
Open Access | Times Cited: 1
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