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:

Empirical Comparison of Bagging Ensembles Created Using Weak Learners for a Regression Problem
Karol Bańczyk, Olgierd Kempa, Tadeusz Lasota, et al.
Lecture notes in computer science (2011), pp. 312-322
Closed Access | Times Cited: 7

Showing 7 citing articles:

Cross-Project Just-in-Time Bug Prediction for Mobile Apps: An Empirical Assessment
Gemma Catolino, Dario Di Nucci, Filomena Ferrucci
(2019), pp. 99-110
Closed Access | Times Cited: 51

An extensive evaluation of ensemble techniques for software change prediction
Gemma Catolino, Filomena Ferrucci
Journal of Software Evolution and Process (2019) Vol. 31, Iss. 9
Closed Access | Times Cited: 30

Selection of Heterogeneous Fuzzy Model Ensembles Using Self-adaptive Genetic Algorithms
Magdalena Smętek, Bogdan Trawiński
New Generation Computing (2011) Vol. 29, Iss. 3, pp. 309-327
Closed Access | Times Cited: 24

Bearing Capacity of Shallow Foundations on Cohesionless Soils: A Random Forest Based Approach
V. R. Kohestani, Maryam Vosoghi, Mahmoud Hassanlourad, et al.
Civil engineering infrastructures journal (2017) Vol. 50, Iss. 1, pp. 35-49
Closed Access | Times Cited: 15

Towards power plant output modelling and optimization using parallel Regression Random Forest
Jan Janoušek, Petr Gajdoš, Pavel Dohnálek, et al.
Swarm and Evolutionary Computation (2015) Vol. 26, pp. 50-55
Closed Access | Times Cited: 6

An Analysis of Change Trends by Predicting from a Data Stream Using Neural Networks
Zbigniew Telec, Tadeusz Lasota, Bogdan Trawiński, et al.
Lecture notes in computer science (2013), pp. 589-600
Closed Access | Times Cited: 4

Fast Human Activity Recognition Based on a Massively Parallel Implementation of Random Forest
Jan Janoušek, Petr Gajdoš, Pavel Dohnálek, et al.
Lecture notes in computer science (2016), pp. 169-178
Closed Access

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