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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:

Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts
Leif Jonsson, Markus Borg, David Broman, et al.
Empirical Software Engineering (2015) Vol. 21, Iss. 4, pp. 1533-1578
Closed Access | Times Cited: 135

Showing 1-25 of 135 citing articles:

Generative Adversarial Networks for face generation: A survey
Amina Kammoun, Rim Slama, Hedi Tabia, et al.
ACM Computing Surveys (2022)
Open Access | Times Cited: 209
DeepTriage
Senthil Mani, Anush Sankaran, Rahul Aralikatte
(2019), pp. 171-179
Closed Access | Times Cited: 104
Electric vehicle energy consumption prediction using stacked generalization: an ensemble learning approach
Irfan Ullah, Kai Liu, Toshiyuki Yamamoto, et al.
International Journal of Green Energy (2021) Vol. 18, Iss. 9, pp. 896-909
Closed Access | Times Cited: 91
Applying deep learning based automatic bug triager to industrial projects
Lee Sunro, Min-Jae Heo, Chan-Gun Lee, et al.
(2017), pp. 926-931
Closed Access | Times Cited: 90
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
Angelos Chatzimparmpas, Rafael M. Martins, Kostiantyn Kucher, et al.
IEEE Transactions on Visualization and Computer Graphics (2020) Vol. 27, Iss. 2, pp. 1547-1557
Open Access | Times Cited: 84
Automated classification of software issue reports using machine learning techniques: an empirical study
Nitish Pandey, Debarshi Kumar Sanyal, Abir Hudait, et al.
Innovations in Systems and Software Engineering (2017) Vol. 13, Iss. 4, pp. 279-297
Closed Access | Times Cited: 80
SZZ unleashed: an open implementation of the SZZ algorithm - featuring example usage in a study of just-in-time bug prediction for the Jenkins project
Markus Borg, Oscar Svensson, Kristian Berg, et al.
(2019), pp. 7-12
Open Access | Times Cited: 73
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Xiaoting He, Qingwei Lin, et al.
(2019), pp. 111-120
Closed Access | Times Cited: 72
An ensemble-based model for predicting agile software development effort
Onkar Malgonde, Kaushal Chari
Empirical Software Engineering (2018) Vol. 24, Iss. 2, pp. 1017-1055
Closed Access | Times Cited: 67
Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, Xiaoting He, Qingwei Lin, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2019), pp. 364-375
Closed Access | Times Cited: 66
The Design Science Paradigm as a Frame for Empirical Software Engineering
Per Runeson, Emelie Engström, Margaret‐Anne Storey
Springer eBooks (2020), pp. 127-147
Closed Access | Times Cited: 50
Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS
Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, et al.
IEEE Transactions on Software Engineering (2021) Vol. 48, Iss. 9, pp. 3394-3409
Open Access | Times Cited: 48
Systematic literature review of validation methods for AI systems
Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö, et al.
Journal of Systems and Software (2021) Vol. 181, pp. 111050-111050
Open Access | Times Cited: 46
Predictive Models in Software Engineering: Challenges and Opportunities
Yanming Yang, Xin Xia, David Lo, et al.
ACM Transactions on Software Engineering and Methodology (2022) Vol. 31, Iss. 3, pp. 1-72
Open Access | Times Cited: 35
A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization
Farhan Ullah, Gautam Srivastava, Shamsher Ullah
Journal of Cloud Computing Advances Systems and Applications (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 29
An empirical study of ensemble techniques for software fault prediction
Santosh Singh Rathore, Sandeep Kumar
Applied Intelligence (2020) Vol. 51, Iss. 6, pp. 3615-3644
Closed Access | Times Cited: 50
On the need of preserving order of data when validating within-project defect classifiers
Davide Falessi, Jacky Huang, Likhita Narayana, et al.
Empirical Software Engineering (2020) Vol. 25, Iss. 6, pp. 4805-4830
Open Access | Times Cited: 41
A spatial–temporal graph neural network framework for automated software bug triaging
Hongrun Wu, Yutao Ma, Zhenglong Xiang, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108308-108308
Open Access | Times Cited: 25
Ranking of software developers based on expertise score for bug triaging
Asmita Yadav, Sandeep Kumar Singh, Jasjit S. Suri
Information and Software Technology (2019) Vol. 112, pp. 1-17
Closed Access | Times Cited: 40
Improving software bug-specific named entity recognition with deep neural network
Cheng Zhou, Bin Li, Xiaobing Sun
Journal of Systems and Software (2020) Vol. 165, pp. 110572-110572
Closed Access | Times Cited: 38
Applying Convolutional Neural Networks With Different Word Representation Techniques to Recommend Bug Fixers
Syed Farhan Alam Zaidi, Faraz Malik Awan, Minsoo Lee, et al.
IEEE Access (2020) Vol. 8, pp. 213729-213747
Open Access | Times Cited: 36
Scaffle: bug localization on millions of files
Michael Pradel, Vijayaraghavan Murali, Rebecca Qian, et al.
(2020)
Closed Access | Times Cited: 33
Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review
Szymon Stradowski, Lech Madeyski
Information and Software Technology (2023) Vol. 159, pp. 107192-107192
Open Access | Times Cited: 11
Improving Bug Triaging with High Confidence Predictions at Ericsson
Aindrila Sarkar, Peter C. Rigby, Béla Bartalos
(2019), pp. 81-91
Closed Access | Times Cited: 33
A Simple NLP-Based Approach to Support Onboarding and Retention in Open Source Communities
Christoph Stanik, Lloyd Montgomery, Daniel Martens, et al.
(2018), pp. 172-182
Open Access | Times Cited: 32
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