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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:

Numerical Grad-Cam Based Explainable Convolutional Neural Network for Brain Tumor Diagnosis
José Antonio Marmolejo-Saucedo, Utku Köse
Mobile Networks and Applications (2022) Vol. 29, Iss. 1, pp. 109-118
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 103
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106998-106998
Open Access | Times Cited: 51
Explainable AI approaches in deep learning: Advancements, applications and challenges
Md. Tanzib Hosain, Jamin Rahman Jim, M. F. Mridha, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109246-109246
Closed Access | Times Cited: 19
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
Enhancing lung abnormalities detection and classification using a Deep Convolutional Neural Network and GRU with explainable AI: A promising approach for accurate diagnosis
Md Khairul Islam, Mahbubur Rahman, Md Shahin Ali, et al.
Machine Learning with Applications (2023) Vol. 14, pp. 100492-100492
Open Access | Times Cited: 28
Attention Deep Feature Extraction from Brain MRIs in Explainable Mode: DGXAINet
Burak Taşçı
Diagnostics (2023) Vol. 13, Iss. 5, pp. 859-859
Open Access | Times Cited: 23
Enhancing breast cancer segmentation and classification: An Ensemble Deep Convolutional Neural Network and U-net approach on ultrasound images
Md. Rakibul Islam, Md Mahbubur Rahman, Md Shahin Ali, et al.
Machine Learning with Applications (2024) Vol. 16, pp. 100555-100555
Open Access | Times Cited: 10
Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks
Rita E. Appiah, Venkatesh Pulletikurthi, Helber Antonio Esquivel-Puentes, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 250, pp. 108167-108167
Closed Access | Times Cited: 6
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 6
Attention guided grad-CAM : an improved explainable artificial intelligence model for infrared breast cancer detection
Kaushik Raghavan, B. Sivaselvan, V. Kamakoti
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 57551-57578
Closed Access | Times Cited: 13
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
An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning
Hilda Mayrose, Niranjana Sampathila, G. Muralidhar Bairy, et al.
IEEE Access (2024) Vol. 12, pp. 41750-41762
Open Access | Times Cited: 4
A novel approach of brain-computer interfacing (BCI) and Grad-CAM based explainable artificial intelligence: Use case scenario for smart healthcare
Kamini Lamba, Shalli Rani
Journal of Neuroscience Methods (2024) Vol. 408, pp. 110159-110159
Closed Access | Times Cited: 4
Responsible artificial intelligence for addressing equity in oral healthcare
Zaid H. Khoury, Alexys Ferguson, Jeffery B. Price, et al.
Frontiers in Oral Health (2024) Vol. 5
Open Access | Times Cited: 4
Machine learning in metastatic cancer research: Potentials, possibilities, and prospects
Olutomilayo Olayemi Petinrin, Faisal Saeed, Muhammad Toseef, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2454-2470
Open Access | Times Cited: 9
Explainable artificial intelligence for medical imaging: Review and experiments with infrared breast images
Kaushik Raghavan, S. Balasubramanian, V. Kamakoti
Computational Intelligence (2024) Vol. 40, Iss. 3
Closed Access | Times Cited: 3
Distributed Flexible Job Shop Scheduling through Deploying Fog and Edge Computing in Smart Factories Using Dual Deep Q Networks
Chun‐Cheng Lin, Yi-Chun Peng, Zhen-Yin Annie Chen, et al.
Mobile Networks and Applications (2024)
Closed Access | Times Cited: 2
Interpreting Convolutional Neural Networks for Brain Tumor Classification: An Explainable Artificial Intelligence Approach
Dieine Estela Bernieri Schiavon, Carla Diniz Lopes Becker, Viviane Rodrigues Botelho, et al.
Lecture notes in computer science (2023), pp. 77-91
Closed Access | Times Cited: 4
IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 997-997
Open 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
EXplainable Artificial Intelligence (XAI) for MRI brain tumor diagnosis: A survey
Hana Charaabi, Hiba Mzoughi, Ridha Hamdi, et al.
(2023), pp. 171-178
Closed Access | Times Cited: 2
Explanatory deep learning to predict elevated pulmonary artery pressure in children with ventricular septal defects using standard chest x-rays: a novel approach
Zhixin Li, Gang Luo, Zhixian Ji, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access
Explainable Artificial Intelligence for Deep Learning Models in Diagnosing Brain Tumor Disorder
Kamini Lamba, Shalli Rani
Lecture notes in networks and systems (2024), pp. 149-159
Closed Access
A Novel Survey on Image Classification Models for Explainable Predictions using Computer Vision
Lakkuru Venkata Koushik, A.V. Reddy, K Rithvik, et al.
(2024), pp. 7-12
Closed Access
Binary classification of brain tumor using machine learning algorithms
Saurabh Dua, Vasu Chakravarthy, Ishita Sharma
AIP conference proceedings (2024) Vol. 3075, pp. 020181-020181
Closed Access
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