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:

Towards Semi-automatic Bug Triage and Severity Prediction Based on Topic Model and Multi-feature of Bug Reports
Geunseok Yang, Tao Zhang, Byungjeong Lee
(2014), pp. 97-106
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

A survey on the use of topic models when mining software repositories
Tse-Hsun Chen, Stephen W. Thomas, Ahmed E. Hassan
Empirical Software Engineering (2015) Vol. 21, Iss. 5, pp. 1843-1919
Closed Access | Times Cited: 190

Improving Automated Bug Triaging with Specialized Topic Model
Xin Xia, David Lo, Ying Ding, et al.
IEEE Transactions on Software Engineering (2016) Vol. 43, Iss. 3, pp. 272-297
Open Access | Times Cited: 167

Towards more accurate severity prediction and fixer recommendation of software bugs
Tao Zhang, Jiachi Chen, Geunseok Yang, et al.
Journal of Systems and Software (2016) Vol. 117, pp. 166-184
Closed Access | Times Cited: 139

A survey on bug prioritization
Jamal Uddin, Rozaida Ghazali, Mustafa Mat Deris, et al.
Artificial Intelligence Review (2016) Vol. 47, Iss. 2, pp. 145-180
Closed Access | Times Cited: 92

Technological Evaluation and Software Bug Training using Genetic Algorithm and Time Convolution Neural Network (GA-TCN)
Ketan Rathor, Jaspreet Kaur, Ullal Akshatha Nayak, et al.
(2023), pp. 7-12
Closed Access | Times Cited: 24

Emotion Based Automated Priority Prediction for Bug Reports
Qasim Umer, Hui Liu, Yasir Sultan
IEEE Access (2018) Vol. 6, pp. 35743-35752
Open Access | Times Cited: 82

A Literature Review of Research in Bug Resolution: Tasks, Challenges and Future Directions
Tao Zhang, He Jiang, Xiapu Luo, et al.
The Computer Journal (2015) Vol. 59, Iss. 5, pp. 741-773
Closed Access | Times Cited: 66

Developer Activity Motivated Bug Triaging: Via Convolutional Neural Network
Shikai Guo, Xinyi Zhang, Xi Yang, et al.
Neural Processing Letters (2020) Vol. 51, Iss. 3, pp. 2589-2606
Closed Access | Times Cited: 55

Bug severity prediction using question-and-answer pairs from Stack Overflow
Youshuai Tan, Sijie Xu, Zhaowei Wang, et al.
Journal of Systems and Software (2020) Vol. 165, pp. 110567-110567
Closed Access | Times Cited: 51

Prioritizing tasks in software development: A systematic literature review
Yegor Bugayenko, Ayomide Bakare, Arina Cheverda, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0283838-e0283838
Open Access | Times Cited: 18

An empirical assessment of different word embedding and deep learning models for bug assignment
Rongcun Wang, Xingyu Ji, Senlei Xu, et al.
Journal of Systems and Software (2024) Vol. 210, pp. 111961-111961
Closed Access | Times Cited: 6

Exploring topic models in software engineering data analysis: A survey
Xiaobing Sun, Xiangyue Liu, Bin Li, et al.
(2016), pp. 357-362
Closed Access | Times Cited: 55

Dual analysis for recommending developers to resolve bugs
Xin Xia, David Lo, Xinyu Wang, et al.
Journal of Software Evolution and Process (2015) Vol. 27, Iss. 3, pp. 195-220
Open Access | Times Cited: 53

Bug report severity level prediction in open source software: A survey and research opportunities
Luiz Alberto Ferreira Gomes, Ricardo da Silva Torres, Mario Lúcio Côrtes
Information and Software Technology (2019) Vol. 115, pp. 58-78
Closed Access | Times Cited: 46

An empirical study of IoT topics in IoT developer discussions on Stack Overflow
Gias Uddin, Fatima Sabir, Yann‐Gaël Guéhéneuc, et al.
Empirical Software Engineering (2021) Vol. 26, Iss. 6
Closed Access | Times Cited: 33

Predicting severity of bug report by mining bug repository with concept profile
Tao Zhang, Geunseok Yang, Byungjeong Lee, et al.
(2015), pp. 1553-1558
Closed Access | Times Cited: 43

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

Automatic Bug Triage in Software Systems Using Graph Neighborhood Relations for Feature Augmentation
Iyad Alazzam, Ahmed Aleroud, Zainab Al Latifah, et al.
IEEE Transactions on Computational Social Systems (2020) Vol. 7, Iss. 5, pp. 1288-1303
Closed Access | Times Cited: 37

Bug Triaging Based on Tossing Sequence Modeling
Shengqu Xi, Yuan Yao, Xusheng Xiao, et al.
Journal of Computer Science and Technology (2019) Vol. 34, Iss. 5, pp. 942-956
Closed Access | Times Cited: 36

Automatic prediction of the severity of bugs using stack traces and categorical features
Korosh Koochekian Sabor, Mohammad Hamdaqa, Abdelwahab Hamou‐Lhadj
Information and Software Technology (2019) Vol. 123, pp. 106205-106205
Closed Access | Times Cited: 36

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

A Graph Convolution Network-Based Bug Triage System to Learn Heterogeneous Graph Representation of Bug Reports
Syed Farhan Alam Zaidi, Honguk Woo, Chan-Gun Lee
IEEE Access (2022) Vol. 10, pp. 20677-20689
Open Access | Times Cited: 22

Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism
Guang Yang, Jinfeng Ji, Jaehee Kim
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 633-633
Open Access

Fixer-level supervised contrastive learning for bug assignment
Rongcun Wang, Xingyu Ji, Yuan Tian, et al.
Empirical Software Engineering (2025) Vol. 30, Iss. 3
Closed Access

Bug Priority Prediction Using Deep Ensemble Approach
P.G.S.M. Dharmakeerthi, R. A. H. M. Rupasingha, Banage T. G. S. Kumara
Applied Soft Computing (2025), pp. 113098-113098
Closed Access

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