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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:

Novel prediction model on OSCC histopathological images via deep transfer learning combined with Grad-CAM interpretation
Heba M. Afify, Kamel K. Mohammed, Aboul Ella Hassanien
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104704-104704
Closed Access | Times Cited: 20

Showing 20 citing articles:

Deep learning in oral cancer- a systematic review
Kritsasith Warin, Siriwan Suebnukarn
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 18
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: 14
Reviewing CAM-Based Deep Explainable Methods in Healthcare
Dan Tang, J.J. Chen, Lijuan Ren, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4124-4124
Open Access | Times Cited: 6
Multimodal breast cancer hybrid explainable computer-aided diagnosis using medical mammograms and ultrasound Images
Riyadh M. Al-Tam, Aymen M. Al-Hejri, Sultan S. Alshamrani, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 731-758
Closed Access | Times Cited: 6
Multi-organ squamous cell carcinoma classification using feature interpretation technique for explainability
Swathi Prabhu, Keerthana Prasad, Thuong Hoang, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 2, pp. 312-326
Open Access | Times Cited: 4
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: 4
Diagnostic performance of artificial intelligence in detecting oral potentially malignant disorders and oral cancer using medical diagnostic imaging: a systematic review and meta-analysis
Rakesh Kumar Sahoo, Krushna Chandra Sahoo, Girish Chandra Dash, et al.
Frontiers in Oral Health (2024) Vol. 5
Open Access | Times Cited: 4
Rice seed vigor detection based on near-infrared hyperspectral imaging and deep transfer learning
Hengnian Qi, Zihong Huang, Zeyu Sun, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 10
Investigating the key principles in two-step heterogeneous transfer learning for early laryngeal cancer identification
Xinyi Fang, Chak Fong Chong, Kei Long Wong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Detection of Architectural Dysplastic Features from Histopathological Imagery of Oral Mucosa Using Neural Networks
Watchanan Chantapakul, Sirikanlaya Vetchaporn, Sansanee Auephanwiriyakul, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 216-216
Open Access
A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recurrent Units
Jayamohan Manoharan, Yuvaraj Sivagnanam
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Identification of chrysanthemum using hyperspectral imaging based on few-shot class incremental learning
Zeyi Cai, Mengyu He, Cheng Li, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108371-108371
Closed Access | Times Cited: 9
Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network
Zijun Guo, S.I. Ao, Bo Ao
Journal of Biomedical Informatics (2024) Vol. 150, pp. 104584-104584
Closed Access | Times Cited: 2
Multi-Cancer Detection Using Deep Learning Techniques
N. Balaji, A. K. P. Kovendan, K. Tharun Nayak, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 281-304
Closed Access | Times Cited: 1
Image-Based Screening of Oral Cancer via Deep Ensemble Architecture
Marco Parola, Gaetano La Mantia, Federico A. Galatolo, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1572-1578
Closed Access | Times Cited: 2
An improved deep convolutional neural network fororal cancer detection using pretrained models
C Kavyashree, H S Vimala, J Shreyas
Research Square (Research Square) (2024)
Open 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
MedTrans: Intelligent Computing for Medical Diagnosis Using Multiscale Cross-Attention Vision Transformer
Yang Xu, Yuan Hong, Xinchen Li, et al.
IEEE Access (2024) Vol. 12, pp. 146575-146586
Open Access
A comprehensive review of tubule formation in histopathology images: advancement in tubule and tumor detection techniques
Joseph Jiun Wen Siet, Xiao Jian Tan, Wai Loon Cheor, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access
Synthesis of clinical images for oral cancer detection and prediction using deep learning
Sourav Kumar Giri, S. Dash
Elsevier eBooks (2024), pp. 339-356
Closed Access
MultiSCCHisto-Net-KD: A deep network for multi-organ explainable squamous cell carcinoma diagnosis with knowledge distillation
Swathi Prabhu, Keerthana Prasad, Thuong Hoang, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109469-109469
Open Access
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