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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:

Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
Javier Civit-Masot, Alejandro Bañuls-Beaterio, Manuel Domínguez-Morales, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107108-107108
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Artificial intelligence in pathological anatomy
Ilya Solovev
Russian Journal of Archive of Pathology (2024) Vol. 86, Iss. 2, pp. 65-65
Closed Access | Times Cited: 1
Integrating Explainable AI: Breakthroughs in Medical Diagnosis and Surgery
Ana Henriques, Henrique Parola, Raquel Gonçalves, et al.
Lecture notes in networks and systems (2024), pp. 254-272
Closed Access | Times Cited: 1
Deep Learning-based NSCLC Classification from Whole-Slide Images: Leveraging Expectation-Maximization and InceptionV3
Kountay Dwivedi, Anshuman Gupta, Ankit Rajpal, et al.
Procedia Computer Science (2024) Vol. 235, pp. 2422-2433
Open Access | Times Cited: 1
Enhancing histopathological medical image classification for Early cancer diagnosis using deep learning and explainable AI – LIME & SHAP
Chiagoziem C. Ukwuoma, Dongsheng Cai, Ebere Eziefuna, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107014-107014
Closed Access | Times Cited: 1
Transformaer‐based model for lung adenocarcinoma subtypes
Fawen Du, Huiyu Zhou, Yi Niu, et al.
Medical Physics (2024) Vol. 51, Iss. 8, pp. 5337-5350
Closed Access | Times Cited: 1
ELCD-NSC2: a novel early lung cancer detection and non-small cell classification framework
Hadeer A. Helaly, Mahmoud Badawy, Eman M. El-Gendy, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 24, pp. 15149-15164
Closed Access | Times Cited: 1
Adaptive Mask-Based Interpretable Convolutional Neural Network (AMI-CNN) for Modulation Format Identification
Xiyue Zhu, Yu Cheng, Jiafeng He, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6302-6302
Open Access | Times Cited: 1
A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images
Oğuzhan KATAR, Özal Yıldırım, Ru San Tan, et al.
Diagnostics (2024) Vol. 14, Iss. 22, pp. 2497-2497
Open Access | Times Cited: 1
Using machine learning-based systems to help predict disengagement from the legal proceedings by women victims of intimate partner violence in Spain
Elena Escobar-Linero, María García Jiménez, María Eva Trigo-Sánchez, et al.
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0276032-e0276032
Open Access | Times Cited: 3
Disease screening using Artificial Intelligence
Auba Fuster-Palà, Francisco Luna-Perejón, Manuel Domínguez-Morales
Research Square (Research Square) (2024)
Open Access
DIEANet: an attention model for histopathological image grading of lung adenocarcinoma based on dimensional information embedding
Zexin Wang, Jing Gao, Min Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Deep Learning and Machine Learning Algorithms to Predict Lung Cancer
K. Gowthami, J Kamalakannan
(2024), pp. 1-5
Closed Access
A Short Survey Work for Lung Cancer Diagnosis Model: Algorithms Utilized, Challenging Issues, and Future Research Trends
Nishat Shaikh, Parth Shah
Lecture notes in networks and systems (2024), pp. 359-375
Closed Access
An Improved Archimedes Optimization-aided Multi-scale Deep Learning Segmentation with dilated ensemble CNN classification for detecting lung cancer using CT images
Shalini Chowdary, Shyamala Bharathi Purushotaman
Network Computation in Neural Systems (2024), pp. 1-39
Closed 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
MRI Brain Tumor Classification Using Adaptive Fractal Networks
Shijiao Gao, Tonghao Wang, Yafei Liu, et al.
(2024)
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
Dual-Branch Knowledge Fusion Network for Differential Diagnosis of Lung Cancer Cytopathology Images
Shaowen Tang, Geng Chen, Wei Gong, et al.
Journal of Shanghai Jiaotong University (Science) (2024)
Closed Access
Intelligent evaluation of therapeutic effect of electroacupuncture moxibustion on cerebral ischemia reperfusion injury based on multimodal information fusion and neural network
Song Zhu, Shiting Yu, Muhadasi Tuerxunyiming
Pattern Recognition Letters (2024) Vol. 188, pp. 164-170
Closed Access
Increasing Trust in AI Using Explainable Artificial Intelligence for Histopathology – An Overview
Cătălin-Mihai Pesecan, Lăcrămioara Stoicu-Tivadar
Studies in health technology and informatics (2023)
Open Access | Times Cited: 1
Classification of Lung Cancer Using Hybrid Convolutional Neural Network Based Bidirectional Long Short-Term Memory
C. Thirumarai Selvi, Dommeti Hema Malini, Zainab Abed Almoussawi, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
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