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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:

State-of-the-Art Challenges and Perspectives in Multi-Organ Cancer Diagnosis via Deep Learning-Based Methods
Saqib Ali, Jianqiang Li, Yan Pei, et al.
Cancers (2021) Vol. 13, Iss. 21, pp. 5546-5546
Open Access | Times Cited: 22

Showing 22 citing articles:

Deep Learning Techniques to Diagnose Lung Cancer
Lulu Wang
Cancers (2022) Vol. 14, Iss. 22, pp. 5569-5569
Open Access | Times Cited: 99
Medical Images Segmentation for Lung Cancer Diagnosis Based on Deep Learning Architectures
Yahia Said, Ahmed A. Alsheikhy, Tawfeeq Shawly, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 546-546
Open Access | Times Cited: 50
Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review
Hadrien T. Gayap, Moulay A. Akhloufi
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 236-284
Open Access | Times Cited: 16
A Novel Transfer Learning Framework for Multimodal Skin Lesion Analysis
S. Remya, T Anjali, Vijayan Sugumaran
IEEE Access (2024) Vol. 12, pp. 50738-50754
Open Access | Times Cited: 9
A Framework Utilizing Deep Learning for Detecting Multiple Cancers in Medical Imaging
Ketan Sanjay Desale, Ankush Ambhore, Prasanna Asole, et al.
Lecture notes in networks and systems (2025), pp. 111-120
Closed Access
A Novel Approach in Bio-Medical Image Segmentation for Analyzing Brain Cancer Images with U-NET Semantic Segmentation and TPLD Models Using SVM
Stephen Neal Joshua Eali, Debnath Bhattacharyya, Thirupathi Rao Nakka, et al.
Traitement du signal (2022) Vol. 39, Iss. 2, pp. 419-430
Open Access | Times Cited: 27
The Rise of Hypothesis-Driven Artificial Intelligence in Oncology
Zilin Xianyu, Cristina Correia, Choong Yong Ung, et al.
Cancers (2024) Vol. 16, Iss. 4, pp. 822-822
Open Access | Times Cited: 4
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li, Haoran Wang, Yucong Meng, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 4
A user-friendly deep learning application for accurate lung cancer diagnosis
Dương Thanh Tài, Nguyen Tan Nhu, Phạm Anh Tuấn, et al.
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 3, pp. 611-622
Closed Access | Times Cited: 3
Hydrogels with Essential Oils: Recent Advances in Designs and Applications
Mariana Chelu
Gels (2024) Vol. 10, Iss. 10, pp. 636-636
Open Access | Times Cited: 3
Clinical Decision Support Framework for Segmentation and Classification of Brain Tumor MRIs Using a U-Net and DCNN Cascaded Learning Algorithm
Nagwan Abdel Samee, Tahir Ahmad, Noha F. Mahmoud, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2340-2340
Open Access | Times Cited: 17
An improved 3D U-Net-based deep learning system for brain tumor segmentation using multi-modal MRI
Saqib Ali, Rooha Khurram, Khalil ur Rehman, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 37, pp. 85027-85046
Closed Access | Times Cited: 2
Region‐Based Segmentation and Classification for Ovarian Cancer Detection Using Convolution Neural Network
L. K. Hema, R. Manikandan, Majid Alhomrani, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 13
Lung Cancer Prediction using Recurrent Residual Convolutional Neural Network and Long Short Term Memory
Elma Shrenitha, M Manvith Reddy, D U Sushanth, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Deep Learning for Melanoma Detection: A Deep Learning Approach to Differentiating Malignant Melanoma from Benign Melanocytic Nevi
Magdalini Kreouzi, Nikolaos Theodorakis, Georgios Feretzakis, et al.
Cancers (2024) Vol. 17, Iss. 1, pp. 28-28
Open Access | Times Cited: 1
Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images
R. Preetha, M. Jasmine Pemeena Priyadarsini, J. S. Nisha
IEEE Access (2023) Vol. 11, pp. 138549-138567
Open Access | Times Cited: 3
光声计算层析成像中的皮肤智能去除方法
袁怡鑫 Yuan Yixin, 陈涛 Chen Tao, 刘成波 Liu Chengbo, et al.
Chinese Journal of Lasers (2023) Vol. 50, Iss. 21, pp. 2107111-2107111
Open Access | Times Cited: 2
Medical Imaging and Artificial Intelligence
S. ABRAHAM, Shenson Joseph
Advances in medical technologies and clinical practice book series (2024), pp. 127-158
Closed Access
DEEP LEARNING APPROACH FOR RENAL CELL CARCINOMA DETECTION, SUBTYPING, AND GRADING
Maroof Abdul Aziz, Fatemeh Javadian, Sherin Susheel Mathew, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Diagnosing Skin Cancer Using Shearlet Transform Multiresolution Computation
Abdul Razak Mohamed Sikkander, Maheshkumar H. Kolekar, V. Bagya Lakshmi, et al.
Research Square (Research Square) (2024)
Open Access
A Forward-Looking Exploration: Developing a Computer-aided Tool for Ocular Symptom Assessment in Myasthenia Gravis Based on Facial Images
Linna Zhao, Jianqiang Li, Yifan Yang, et al.
(2024), pp. 270-276
Closed Access
Nodules Detection in Lungs CT Images Using Improved YOLOV5 and Classification of Types of Nodules by CNN-SVM
Aparna M. Harale, Vinayak K. Bairagi, Ekkarat Boonchieng, et al.
IEEE Access (2024) Vol. 12, pp. 140456-140471
Open Access
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