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:

Explainable AI for Software Engineering
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy
Zenodo (CERN European Organization for Nuclear Research) (2021)
Open Access | Times Cited: 13

Showing 13 citing articles:

A software engineering perspective on engineering machine learning systems: State of the art and challenges
Görkem Giray
Journal of Systems and Software (2021) Vol. 180, pp. 111031-111031
Open Access | Times Cited: 130

JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction
Chanathip Pornprasit, Chakkrit Tantithamthavorn
(2021)
Open Access | Times Cited: 87

Deep Learning for Android Malware Defenses: A Systematic Literature Review
Yue Liu, Chakkrit Tantithamthavorn, Li Li, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-36
Open Access | Times Cited: 62

Practitioners’ Perceptions of the Goals and Visual Explanations of Defect Prediction Models
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John Grundy
(2021), pp. 432-443
Open Access | Times Cited: 52

XAI tools in the public sector: a case study on predicting combined sewer overflows
Nicholas Maltbie, Nan Niu, Matthew Van Doren, et al.
(2021)
Closed Access | Times Cited: 22

Focused Test Generation for Autonomous Driving Systems
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 6, pp. 1-32
Open Access | Times Cited: 1

SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 6

Adopting automated bug assignment in practice — a longitudinal case study at Ericsson
Markus Borg, Leif Jonsson, Emelie Engström, et al.
Empirical Software Engineering (2024) Vol. 29, Iss. 5
Open Access

Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John Grundy
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4

JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction
Chanathip Pornprasit, Chakkrit Tantithamthavorn
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2

WheaCha: A Method for Explaining the Predictions of Code Summarization Models
Yu Wang, Ke Wang, Linzhang Wang
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1

An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing
Roland Croft, Dominic Newlands, Ziyu Chen, et al.
arXiv (Cornell University) (2021)
Closed Access

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