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:
Generating Fuzzy Linguistic Summaries for Menstrual Cycles
Łukasz Sosnowski, Tomasz Penza
Annals of Computer Science and Information Systems (2020) Vol. 21, pp. 119-128
Open Access | Times Cited: 8
Łukasz Sosnowski, Tomasz Penza
Annals of Computer Science and Information Systems (2020) Vol. 21, pp. 119-128
Open Access | Times Cited: 8
Showing 8 citing articles:
Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit
Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, et al.
Annals of Computer Science and Information Systems (2020)
Open Access | Times Cited: 13
Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, et al.
Annals of Computer Science and Information Systems (2020)
Open Access | Times Cited: 13
Artificial Intelligence in Personalized Healthcare Analysis for Womens’ Menstrual Health Disorders
Łukasz Sosnowski, Joanna Żuławińska, Soma Dutta, et al.
Annals of Computer Science and Information Systems (2022) Vol. 30, pp. 751-760
Open Access | Times Cited: 5
Łukasz Sosnowski, Joanna Żuławińska, Soma Dutta, et al.
Annals of Computer Science and Information Systems (2022) Vol. 30, pp. 751-760
Open Access | Times Cited: 5
Analysis for Women’s’ Menstrual Health Disorders Using Artificial Intelligence
Łukasz Sosnowski, Soma Dutta, Iwona Szymusik
Lecture notes in business information processing (2023), pp. 71-90
Closed Access | Times Cited: 2
Łukasz Sosnowski, Soma Dutta, Iwona Szymusik
Lecture notes in business information processing (2023), pp. 71-90
Closed Access | Times Cited: 2
Premenstrual Syndrome Detection Based on Granular Computing and AI in Home Environment
Łukasz Sosnowski, Iwona Szymusik
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8341-8350
Closed Access
Łukasz Sosnowski, Iwona Szymusik
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8341-8350
Closed Access
Toward automatic assessment of a risk of women’s health disorders based on ontology decision models and menstrual cycle analysis
Łukasz Sosnowski, Jakub Wróblewski
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 5544-5552
Closed Access | Times Cited: 4
Łukasz Sosnowski, Jakub Wróblewski
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 5544-5552
Closed Access | Times Cited: 4
Interactive, Personalized Decision Support in Analyzing Women’s Menstrual Disorders
Łukasz Sosnowski, Soma Dutta, Iwona Szymusik, et al.
Annals of Computer Science and Information Systems (2023) Vol. 37, pp. 279-286
Open Access | Times Cited: 1
Łukasz Sosnowski, Soma Dutta, Iwona Szymusik, et al.
Annals of Computer Science and Information Systems (2023) Vol. 37, pp. 279-286
Open Access | Times Cited: 1
Recent Advances in Business Analytics. Selected papers of the 2021 KNOWCON-NSAIS workshop on Business Analytics
Annals of Computer Science and Information Systems (2022) Vol. 29
Open Access
Annals of Computer Science and Information Systems (2022) Vol. 29
Open Access
The voter's guide to the galaxy—a multiple-criteria fuzzy decision-support tool for voters and a fresh take on election survey methods
Sofia Maria Panzeri, Jana Stoklasová, Jan Stoklasa
Annals of Computer Science and Information Systems (2022) Vol. 29, pp. 7-17
Open Access
Sofia Maria Panzeri, Jana Stoklasová, Jan Stoklasa
Annals of Computer Science and Information Systems (2022) Vol. 29, pp. 7-17
Open Access
