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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:

A study on software fault prediction techniques
Santosh Singh Rathore, Sandeep Kumar
Artificial Intelligence Review (2017) Vol. 51, Iss. 2, pp. 255-327
Closed Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

Handling Class-Imbalance with KNN (Neighbourhood) Under-Sampling for Software Defect Prediction
Somya Goyal
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2023-2064
Closed Access | Times Cited: 127
A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
Jalaj Pachouly, Swati Ahirrao, Ketan Kotecha, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 111, pp. 104773-104773
Closed Access | Times Cited: 119
Machine learning based methods for software fault prediction: A survey
Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi
Expert Systems with Applications (2021) Vol. 172, pp. 114595-114595
Closed Access | Times Cited: 117
On the use of deep learning in software defect prediction
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal, et al.
Journal of Systems and Software (2022) Vol. 195, pp. 111537-111537
Open Access | Times Cited: 82
Effective software defect prediction using support vector machines (SVMs)
Somya Goyal
International Journal of Systems Assurance Engineering and Management (2021) Vol. 13, Iss. 2, pp. 681-696
Closed Access | Times Cited: 60
Software Fault Prediction for Imbalanced Data: A Survey on Recent Developments
Sanchita Pandey, Kuldeep Kumar
Procedia Computer Science (2023) Vol. 218, pp. 1815-1824
Open Access | Times Cited: 20
An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review
Naresh Kumar Nagwani, Jasjit S. Suri
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 1, pp. 100153-100153
Open Access | Times Cited: 17
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
Software Defect Prediction Using Heterogeneous Ensemble Classification Based on Segmented Patterns
Hamad Alsawalqah, Neveen Hijazi, Mohammed Eshtay, et al.
Applied Sciences (2020) Vol. 10, Iss. 5, pp. 1745-1745
Open Access | Times Cited: 43
Selecting the Suitable Resampling Strategy for Imbalanced Data Classification Regarding Dataset Properties. An Approach Based on Association Models
Mohamed S. Kraiem, F. Sánchez, Marı́a N. Moreno Garcı́a
Applied Sciences (2021) Vol. 11, Iss. 18, pp. 8546-8546
Open Access | Times Cited: 38
Predicting the Defects using Stacked Ensemble Learner with Filtered Dataset
Somya Goyal
Automated Software Engineering (2021) Vol. 28, Iss. 2
Closed Access | Times Cited: 33
Generative Oversampling Methods for Handling Imbalanced Data in Software Fault Prediction
Santosh Singh Rathore, Satyendra Singh Chouhan, Dixit Kumar Jain, et al.
IEEE Transactions on Reliability (2022) Vol. 71, Iss. 2, pp. 747-762
Closed Access | Times Cited: 27
Precise Learn-to-Rank Fault Localization Using Dynamic and Static Features of Target Programs
Yunho Kim, Seokhyeon Mun, Shin Yoo, et al.
ACM Transactions on Software Engineering and Methodology (2019) Vol. 28, Iss. 4, pp. 1-34
Closed Access | Times Cited: 42
Genetic Evolution-Based Feature Selection for Software Defect Prediction Using SVMs
Somya Goyal
Journal of Circuits Systems and Computers (2022) Vol. 31, Iss. 11
Closed Access | Times Cited: 21
Deep Learning-Based Software Defect Prediction via Semantic Key Features of Source Code—Systematic Survey
Ahmed Abdu, Zhengjun Zhai, Redhwan Algabri, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3120-3120
Open Access | Times Cited: 21
Data quality issues in software fault prediction: a systematic literature review
Kirti Bhandari, Kuldeep Kumar, Amrit Lal Sangal
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7839-7908
Closed Access | Times Cited: 20
A systematic review of hyperparameter tuning techniques for software quality prediction models
Ruchika Malhotra, Madhukar Cherukuri
Intelligent Data Analysis (2024) Vol. 28, Iss. 5, pp. 1131-1149
Closed Access | Times Cited: 4
A comparative study of handling imbalanced data using generative adversarial networks for machine learning based software fault prediction
Ha Thi Minh Phuong, Pham Vu Thu Nguyet, Nguyen Huu Nhat Minh, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Enhanced Three-Stage Cluster-Then-Classify Method (ETSCCM)
Duygu Yılmaz Eroğlu, Emre Güleryüz
Metals (2025) Vol. 15, Iss. 3, pp. 318-318
Open Access
Cost-Effective Prediction Model for Optimal Selection of Software Faults Using Coati Optimization Algorithm
Hrishikesh Kumar, Himansu Das
SN Computer Science (2025) Vol. 6, Iss. 5
Closed Access
Empirical investigation of hyperparameter optimization for software defect count prediction
Meetesh Nevendra, Pradeep Singh
Expert Systems with Applications (2021) Vol. 191, pp. 116217-116217
Closed Access | Times Cited: 27
A Bibliometric Analysis of Fault Prediction System using Machine Learning Techniques
Mudita Uppal, Deepali Gupta, Vaishali Mehta
BENTHAM SCIENCE PUBLISHERS eBooks (2022), pp. 109-130
Closed Access | Times Cited: 17
Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning
Touseef Tahir, Çiğdem Gencel, Ghulam Rasool, et al.
IEEE Access (2023) Vol. 11, pp. 141965-141986
Open Access | Times Cited: 10
Domain-specific implications of error-type metrics in risk-based software fault prediction
Khoa Phung, Emmanuel Ogunshile, Mehmet Emin Aydın
Software Quality Journal (2025) Vol. 33, Iss. 1
Open Access
Log-Based System Failure Prediction with Dual-Aspect Feature Augmentation
Yuan Tian, Shi Ying
(2025)
Closed Access
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