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:
Multi-objective semi-supervised clustering to identify health service patterns for injured patients
Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, et al.
Health Information Science and Systems (2019) Vol. 7, Iss. 1
Open Access | Times Cited: 9
Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, et al.
Health Information Science and Systems (2019) Vol. 7, Iss. 1
Open Access | Times Cited: 9
Showing 9 citing articles:
A review on semi-supervised clustering
Jianghui Cai, Jing Hao, Haifeng Yang, et al.
Information Sciences (2023) Vol. 632, pp. 164-200
Closed Access | Times Cited: 72
Jianghui Cai, Jing Hao, Haifeng Yang, et al.
Information Sciences (2023) Vol. 632, pp. 164-200
Closed Access | Times Cited: 72
Ranking of Pareto-optimal solutions and selecting the best solution in multi- and many-objective optimization problems using R-method
R. Venkata Rao, R. Lakshmi
Soft Computing Letters (2021) Vol. 3, pp. 100015-100015
Open Access | Times Cited: 64
R. Venkata Rao, R. Lakshmi
Soft Computing Letters (2021) Vol. 3, pp. 100015-100015
Open Access | Times Cited: 64
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-40
Open Access | Times Cited: 62
Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-40
Open Access | Times Cited: 62
A survey on Optimisation-based Semi-supervised Clustering Methods
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
(2021), pp. 477-482
Closed Access | Times Cited: 7
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
(2021), pp. 477-482
Closed Access | Times Cited: 7
Machine learning with incomplete datasets using multi-objective optimization models
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 7
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 7
Multi-objective Semi-supervised clustering for finding predictive clusters
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Expert Systems with Applications (2022) Vol. 195, pp. 116551-116551
Open Access | Times Cited: 3
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Expert Systems with Applications (2022) Vol. 195, pp. 116551-116551
Open Access | Times Cited: 3
Untangling the Concept of Artificial Intelligence, Machine Learning, and Deep Learning
M Juliandri, Goce Ristanoski, Uwe Aickelin
Artificial Intelligence in Medicine (2022), pp. 3-21
Closed Access | Times Cited: 2
M Juliandri, Goce Ristanoski, Uwe Aickelin
Artificial Intelligence in Medicine (2022), pp. 3-21
Closed Access | Times Cited: 2
Multiobjective semisupervised learning with a rightâcensored endpoint adapted to the multiple imputation framework
Lilith Faucheux, Vassili Soumelis, Sylvie Chevret
Biometrical Journal (2021) Vol. 64, Iss. 8, pp. 1446-1466
Closed Access | Times Cited: 1
Lilith Faucheux, Vassili Soumelis, Sylvie Chevret
Biometrical Journal (2021) Vol. 64, Iss. 8, pp. 1446-1466
Closed Access | Times Cited: 1
Machine learning with incomplete datasets using multi-objective optimization models
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
arXiv (Cornell University) (2020)
Closed Access
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
arXiv (Cornell University) (2020)
Closed Access
