OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Symptoms based endometriosis prediction using machine learning
S Visalaxi, Sudalaimuthu Thalavaipillai
Bulletin of Electrical Engineering and Informatics (2021) Vol. 10, Iss. 6, pp. 3102-3109
Open Access | Times Cited: 15

Showing 15 citing articles:

Automated Recognition of Underwater Objects using Deep Learning
Sowmya Raavi, Phani Babu Chandu, T. Sudalaimuthu
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023), pp. 1055-1059
Closed Access | Times Cited: 5

Enhancement and modification of automatic speaker verification by utilizing hidden Markov model
Imad Burhan Kadhim, Ali Najdet Nasret, Zuhair Shakor Mahmood
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 27, Iss. 3, pp. 1397-1397
Open Access | Times Cited: 4

Automated segmentation of endometriosis using transfer learning technique
S Visalaxi, T. Sudalaimuthu
F1000Research (2022) Vol. 11, pp. 360-360
Open Access | Times Cited: 4

Enhanced the prediction approach of diabetes using an autoencoder with regularization and deep neural network
Hussein A. Ismael, Nabeel H. Al-A’araji, Baheeja K. Al-Shukur
Periodicals of Engineering and Natural Sciences (PEN) (2023) Vol. 10, Iss. 6, pp. 156-156
Open Access | Times Cited: 2

Feature based analysis of endometriosis using machine learning
S Visalaxi, Sudalaimuthu Thalavaipillai, Surya Rajeswar, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 29, Iss. 3, pp. 1700-1700
Open Access | Times Cited: 3

Enhancing and Personalising Endometriosis Care with Causal Machine Learning
Ariane Hine, Thais Webber, Juliana Bowles
Lecture notes in networks and systems (2024), pp. 3-25
Closed Access

Enhanced Visual Question Answering System Using DenseNet
S Nithish, E M Kawinbalaji, T. Sudalaimuthu
(2024), pp. 01-06
Closed Access

The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification*†
David Butler, Hu Wang, Yuan Zhang, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-5
Closed Access | Times Cited: 1

Analysis of Mobile Communication Network Architecture Based on SDN
Kai Zhang, Xiaohu Zhao, You Peng, et al.
Journal of Grid Computing (2022) Vol. 20, Iss. 3
Closed Access | Times Cited: 2

Big Data Analytics on Thyroid: A Review on Algorithms, Attributes and Future
K. Hema Priya, K. Valarmathi
2022 1st International Conference on Computational Science and Technology (ICCST) (2022), pp. 1056-1061
Closed Access | Times Cited: 2

Automated segmentation of endometriosis using transfer learning technique
S Visalaxi, T. Sudalaimuthu
F1000Research (2022) Vol. 11, pp. 360-360
Open Access | Times Cited: 1

Visual Impaired Assist Mobile App using CNN
S Suresh Kumar, B Prasana, S Pratheep Kumar
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023), pp. 1193-1197
Closed Access

On the use of Raman Blood Spectroscopy and Prediction Machines for Enhanced Care of Endometriosis Patients
Ejay Nsugbe
Digital Technologies Research and Applications (2023) Vol. 2, Iss. 1, pp. 12-30
Open Access

Endometriosis Labelling using Machine learning
S Visalaxi, T. Sudalaimuthu, Sowmya. V.J
(2023), pp. 1-6
Closed Access

Volatile Kernel Rootkit Hidden Process Detection in Cloud Computing
Suresh kumar S, T. Sudalaimuthu
Research Square (Research Square) (2022)
Open Access

Page 1

Scroll to top