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:
On the value of parameter tuning in stacking ensemble model for software regression test effort estimation
Taher Labidi, Zaineb Sakhrawi
The Journal of Supercomputing (2023) Vol. 79, Iss. 15, pp. 17123-17145
Closed Access | Times Cited: 8
Taher Labidi, Zaineb Sakhrawi
The Journal of Supercomputing (2023) Vol. 79, Iss. 15, pp. 17123-17145
Closed Access | Times Cited: 8
Showing 8 citing articles:
Fault diagnosis of actuator damage in UAVs using embedded recorded data and stacked machine learning models
Luttfi A. Al-Haddad, Alaa Abdulhady Jaber, Sinan A. Al-Haddad, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 3, pp. 3005-3024
Closed Access | Times Cited: 36
Luttfi A. Al-Haddad, Alaa Abdulhady Jaber, Sinan A. Al-Haddad, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 3, pp. 3005-3024
Closed Access | Times Cited: 36
A systematic review of machine learning methods in software testing
Sedighe Ajorloo, Amirhossein Jamarani, Mehdi Kashfi, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111805-111805
Closed Access | Times Cited: 9
Sedighe Ajorloo, Amirhossein Jamarani, Mehdi Kashfi, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111805-111805
Closed Access | Times Cited: 9
Software effort estimation using ensemble learning methods
Israa Akram Al-Naimy, Marwa Adeeb Al-jawaherry
AIP conference proceedings (2025) Vol. 3264, pp. 040021-040021
Closed Access
Israa Akram Al-Naimy, Marwa Adeeb Al-jawaherry
AIP conference proceedings (2025) Vol. 3264, pp. 040021-040021
Closed Access
Advancing biomedical engineering: Leveraging Hjorth features for electroencephalography signal analysis
Wissam H. Alawee, Ali Basem, Luttfi A. Al-Haddad
Journal of Electrical Bioimpedance (2023) Vol. 14, Iss. 1, pp. 66-72
Open Access | Times Cited: 14
Wissam H. Alawee, Ali Basem, Luttfi A. Al-Haddad
Journal of Electrical Bioimpedance (2023) Vol. 14, Iss. 1, pp. 66-72
Open Access | Times Cited: 14
A systematic review of hyperparameter tuning techniques for software quality prediction models
Ruchika Malhotra, Madhukar Cherukuri
Intelligent Data Analysis (2024) Vol. 28, Iss. 5, pp. 1131-1149
Closed Access | Times Cited: 1
Ruchika Malhotra, Madhukar Cherukuri
Intelligent Data Analysis (2024) Vol. 28, Iss. 5, pp. 1131-1149
Closed Access | Times Cited: 1
Optimizing Complex Ensembles: Automatic Bias-Variance Tuning with SVM-Based Learners
Amir Hussein Ataei Monfared, Sheedeh Sharif-Bakhtiar
(2024)
Closed Access | Times Cited: 1
Amir Hussein Ataei Monfared, Sheedeh Sharif-Bakhtiar
(2024)
Closed Access | Times Cited: 1
Predicting Software Effort Estimation Using the Stacked Ensemble Machine Learning Approach
Julius Olufemi Ogunleye, Zdenka Prokopová
(2024)
Closed Access
Julius Olufemi Ogunleye, Zdenka Prokopová
(2024)
Closed Access
Gradient Boosting Optimized Through Differential Evolution for Predicting the Testing Effort of Software Projects
Ángel J. Sánchez-García, Cuauhtémoc López‐Martín, Alain Abran
IEEE Access (2023) Vol. 11, pp. 135235-135254
Open Access | Times Cited: 1
Ángel J. Sánchez-García, Cuauhtémoc López‐Martín, Alain Abran
IEEE Access (2023) Vol. 11, pp. 135235-135254
Open Access | Times Cited: 1
