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
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2021)
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

LineVul
Michael C. Fu, Chakkrit Tantithamthavorn
(2022), pp. 608-620
Open Access | Times Cited: 135

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: 131

DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction
Chanathip Pornprasit, Chakkrit Tantithamthavorn
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 1, pp. 84-98
Closed Access | Times Cited: 71

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

GPT2SP: A Transformer-Based Agile Story Point Estimation Approach
Michael C. Fu, Chakkrit Tantithamthavorn
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 2, pp. 611-625
Closed Access | Times Cited: 41

Software defect prediction: future directions and challenges
Zhiqiang Li, Jingwen Niu, Xiao‐Yuan Jing
Automated Software Engineering (2024) Vol. 31, Iss. 1
Closed Access | Times Cited: 8

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

AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities
Michael C. Fu, Chakkrit Tantithamthavorn, Trung Le, et al.
Empirical Software Engineering (2023) Vol. 29, Iss. 1
Open Access | Times Cited: 20

VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types
Michael C. Fu, Van Nguyen, Chakkrit Tantithamthavorn, et al.
IEEE Transactions on Software Engineering (2023) Vol. 49, Iss. 10, pp. 4550-4565
Closed Access | Times Cited: 16

PyExplainer: Explaining the Predictions of Just-In-Time Defect Models
Chanathip Pornprasit, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2021)
Closed Access | Times Cited: 37

SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, et al.
IEEE Transactions on Software Engineering (2021) Vol. 48, Iss. 8, pp. 2814-2835
Open Access | Times Cited: 34

C-SHAP: A Hybrid Method for Fast and Efficient Interpretability
Golshid Ranjbaran, Diego Reforgiato Recupero, Chanchal K. Roy, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 672-672
Open Access

Application of Explainable Artificial Intelligence in Fintech
Raunak Kumar, Priya Gupta, Bhawna
(2025), pp. 383-405
Closed Access

Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices
Zheng Huang, Hao Hao, Lun Du
(2025), pp. 1005-1007
Closed Access

Explainable AI for SE: Challenges and Future Directions
Chakkrit Tantithamthavorn, Jürgen Cito, Hadi Hemmati, et al.
IEEE Software (2023) Vol. 40, Iss. 3, pp. 29-33
Open Access | Times Cited: 12

Modeling review history for reviewer recommendation
Guoping Rong, Yifan Zhang, Lanxin Yang, et al.
Proceedings of the 44th International Conference on Software Engineering (2022), pp. 1381-1392
Closed Access | Times Cited: 16

XCoS: Explainable Code Search Based on Query Scoping and Knowledge Graph
Chong Wang, Xin Peng, Zhenchang Xing, et al.
ACM Transactions on Software Engineering and Methodology (2023) Vol. 32, Iss. 6, pp. 1-28
Open Access | Times Cited: 9

Detecting and Unmasking AI-Generated Texts through Explainable Artificial Intelligence using Stylistic Features
Aditya Shah, Prateek Ranka, Urmi Dedhia, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access | Times Cited: 9

What makes Ethereum blockchain transactions be processed fast or slow? An empirical study
Michael Pacheco, Gustavo A. Oliva, Gopi Krishnan Rajbahadur, et al.
Empirical Software Engineering (2023) Vol. 28, Iss. 2
Open Access | Times Cited: 7

An Empirical Evaluation of Competitive Programming AI: A Case Study of AlphaCode
Sila Lertbanjongngam, Bodin Chinthanet, Takashi Ishio, et al.
(2022), pp. 10-15
Open Access | Times Cited: 11

The Impact of Data Merging on the Interpretation of Cross-Project Just-In-Time Defect Models
Dayi Lin, Chakkrit Tantithamthavorn, Ahmed E. Hassan
IEEE Transactions on Software Engineering (2021) Vol. 48, Iss. 8, pp. 2969-2986
Closed Access | Times Cited: 15

Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP
Lukas Schulte, Benjamin Ledel, Steffen Herbold
Empirical Software Engineering (2024) Vol. 29, Iss. 4
Open Access | Times Cited: 1

Toward Reliable Software Analytics: Systematic Integration of Explanations From Different Model-Agnostic Techniques
Gichan Lee, Scott Uk-Jin Lee
IEEE Software (2023) Vol. 40, Iss. 3, pp. 34-42
Closed Access | Times Cited: 4

Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation
Jiamou Sun, Zhenchang Xing, Qinghua Lu, et al.
(2023), pp. 970-982
Open Access | Times Cited: 4

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