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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:

Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images
Naeem Ullah, Muhammad Hassan, Javed Ali Khan, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 16

Showing 16 citing articles:

A deep dive into AI integration and advanced nanobiosensor technologies for enhanced bacterial infection monitoring
Habib Ullah Khan, Zahoor Jan, Inam Ullah, et al.
Nanotechnology Reviews (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 11
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Ilknur Tuncer, Abdul Hafeez‐Baig, Prabal Datta Barua, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107538-107538
Open Access | Times Cited: 1
Utilizing customized CNN for brain tumor prediction with explainable AI
Md. Imran Nazir, Afsana Akter, Md. Anwar Hussen Wadud, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38997-e38997
Open Access | Times Cited: 7
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
Enhancing Transparency and Trust in Brain Tumor Diagnosis: An In-Depth Analysis of Deep Learning and Explainable AI Techniques
Krishan Kumar, Kiran Jyoti
Research Square (Research Square) (2025)
Closed Access
Cross-modal alignment and contrastive learning for enhanced cancer survival prediction
Tengfei Li, Xuezhong Zhou, Jingyan Xue, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108633-108633
Closed Access
A comprehensive review of artificial intelligence - based algorithm towards fetal facial anomalies detection (2013–2024)
N. Sriraam, Babu Chinta, Suresh Seshadri, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Explainable Artificial Intelligence in Neuroimaging of Alzheimer’s Disease
Mahdieh Taiyeb Khosroshahi, Soroush Morsali, Sohrab Gharakhanlou, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 612-612
Open Access
Innovative deep learning solutions for Turkish butterfly species identification: a VGGNet enhancement study
Mustafa Teke, Gamze Elsamoly
Signal Image and Video Processing (2025) Vol. 19, Iss. 5
Closed Access
A secure hybrid deep learning framework for brain tumor detection and classification
Sandeep Kumar Mathivanan, Saravanan Srinivasan, Manjula Sanjay Koti, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
An Integrated Deep Convolutional Neural Networks Framework for The Automatic Segmentation and Grading of Glioma Tumors Using Multimodal MRI Scans
Otung John Peter Odong, Mohammed Abo‐Zahhad, Moataz M. Abdelwahab
Research Square (Research Square) (2025)
Closed Access
EXPLAINABLE MACHINE LEARNING-BASED PREDICTION OF BLAST LOADS ON STRUCTURAL SURFACES IN TWO-DIMENSIONAL SPATIAL COORDINATES
Chathura Widanage, Damith Mohotti, C.K. Lee, et al.
Results in Engineering (2025), pp. 104979-104979
Open Access
Brain tumor detection empowered with ensemble deep learning approaches from MRI scan images
Rizwana Naz Asif, Muhammad Tahir Naseem, Munir Ahmad, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Deep learning meets marine biology: Optimized fused features and LIME-driven insights for automated plankton classification
Muhammad Hassan, Giovanna Salbitani, Simona Carfagna, et al.
Computers in Biology and Medicine (2025) Vol. 192, pp. 110273-110273
Open Access
An XAI-Enhanced EfficientNetB0 Framework for Precision Brain Tumor Detection in MRI Imaging
T R Mahesh, Muskan Gupta, T Anupama, et al.
Journal of Neuroscience Methods (2024) Vol. 410, pp. 110227-110227
Closed Access | Times Cited: 2
Utilizing Customized Cnn for Brain Tumor Prediction with Explainable Ai
Md. Imran Nazir, Afsana Akter, Md. Anwar Hussen Wadud, et al.
(2024)
Closed Access | Times Cited: 1
Explainable AI in brain tumor diagnosis: A critical review of ML and DL techniques
Krishan Kumar, Kiran Jyoti, Krishan Kumar
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches
Nadenlla RajamohanReddy, G. Muneeswari
PeerJ Computer Science (2024) Vol. 10, pp. e2496-e2496
Open Access
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