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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:

Manifold learning methods for the diagnosis of ovarian cancer
Bartu Yeşilkaya, Matjaž Perc, Yalçın İşler
Journal of Computational Science (2022) Vol. 63, pp. 101775-101775
Closed Access | Times Cited: 21

Showing 21 citing articles:

Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Muhammad Sufyan, Zeeshan Shokat, Usman Ali Ashfaq
Computers in Biology and Medicine (2023) Vol. 165, pp. 107356-107356
Closed Access | Times Cited: 71
DFU-SIAM a Novel Diabetic Foot Ulcer Classification With Deep Learning
Mohammud Shaad Ally Toofanee, Sabeena Dowlut, Mohamed Hamroun, et al.
IEEE Access (2023) Vol. 11, pp. 98315-98332
Open Access | Times Cited: 21
Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials
Bartu Yeşilkaya, Ebru Sayılgan, Yılmaz Kemal Yüce, et al.
Journal of Computational Science (2023) Vol. 68, pp. 102000-102000
Open Access | Times Cited: 14
MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets
Kuang Sheng, Henry C. Woodruff, Renée W. Y. Granzier, et al.
Neural Networks (2023) Vol. 165, pp. 119-134
Open Access | Times Cited: 12
Research on texture features classification of multilayered wood flooring using global image structure method
Bokai Yang, Rongrong Li, Meng Yuan, et al.
Wood Material Science and Engineering (2025), pp. 1-13
Closed Access
Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023)
Amir Reza Naderi Yaghouti, Ahmad Shalbaf, Roohallah Alizadehsani, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
Classifying EEG data from spinal cord injured patients using manifold learning methods for brain-computer interface-based rehabilitation
Ebru Sayılgan
Neural Computing and Applications (2025)
Open Access
TLOD: Innovative ovarian tumor detection for accurate multiclass classification and clinical application
M. Jeya Sundari, N.C. Brintha
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 3
STRAMPN: Histopathological image dataset for ovarian cancer detection incorporating AI-based methods
Samridhi Singh, Malti Kumari Maurya, Nagendra Singh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 28175-28196
Closed Access | Times Cited: 6
Infant death prediction using machine learning: A population-based retrospective study
Zhihong Zhang, Qinqin Xiao, Jiebo Luo
Computers in Biology and Medicine (2023) Vol. 165, pp. 107423-107423
Open Access | Times Cited: 4
Rapid detection of liver metastasis risk in colorectal cancer patients through blood test indicators
Yu Zhou, Gang Li, Wanxiu Xu
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Explainable Artificial Intelligence based Ensemble Machine Learning for Ovarian Cancer Stratification using Electronic Health Records
Vivekanand Aelgani, Dhanalaxmi Vadlakonda
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 7, pp. 78-84
Open Access | Times Cited: 3
Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs
Marios Zachariou, Ognjen Arandjelović, Evelin Dombay, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107573-107573
Open Access | Times Cited: 3
ABM-OCD: Advancing ovarian cancer diagnosis with attention-based models and 3D CNNs
A Jenefa, Naveen V. Edward, Veemaraj Ebenezer, et al.
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) (2023) Vol. 9, Iss. 43
Open Access | Times Cited: 3
Survey of AI-driven techniques for ovarian cancer detection: state-of-the-art methods and open challenges
Samridhi Singh, Malti Kumari Maurya, Nagendra Singh, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access
Early Detection of Benign Ovarian Tumor Classification Using U-NET+ with Hybrid Deep Learning Techniques
C. Kamala, Joshi Manisha Shivaram
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access
Geometric Insights for Energy-Efficient Building Design: A Differential Geometry-based Regression Approach
S Anirudh, Rejeti Kartik, Potula Radha Nishant, et al.
(2024), pp. 174-179
Closed Access
An improved cancer diagnosis algorithm for protein mass spectrometry based on PCA and a one-dimensional neural network combining ResNet and SENet
Liang Ma, Wenqing Gao, Xiangyang Hu, et al.
The Analyst (2024) Vol. 149, Iss. 23, pp. 5675-5683
Closed Access
Progressively Helical Multi-Omics Data Fusion GCN and Its Application in Lung Adenocarcinoma
Junxuan Zhu, Jinhan Zhang, Liyan Wang, et al.
IEEE Access (2023) Vol. 11, pp. 73568-73582
Open Access | Times Cited: 1
Computerized analysis of pulmonary sounds using uniform manifold projection
Sebastian Escobar-Pajoy, Juan Ugarte
Chaos Solitons & Fractals (2022) Vol. 166, pp. 112930-112930
Open Access | Times Cited: 1
An Application of the Feature Selection Method Based on Pairwise Correlation for Diagnosis of Ovarian Cancer with Machine Learning
Hülya Başeğmez
Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2023)
Open Access
Research on Disease Diagnosis Based on Teacher-Student Network and Raman Spectroscopy
Zishuo Chen, Xuecong Tian, Chen Chen, et al.
(2023)
Closed Access
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