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:

Empirical Study of Software Defect Prediction: A Systematic Mapping
Lê Hoàng Sơn, Nakul Pritam, Manju Khari, et al.
Symmetry (2019) Vol. 11, Iss. 2, pp. 212-212
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

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: 80

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

Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review
Manzura Jorayeva, Akhan Akbulut, Cagatay Catal, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2551-2551
Open Access | Times Cited: 39

Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction
Sonika Chandrakant Rathi, Sanjay Misra, Ricardo Colomo‐Palacios, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119806-119806
Closed Access | Times Cited: 22

Prediction of Air Pollution Index in Kuala Lumpur using fuzzy time series and statistical models
Jian Wei Koo, Shin Wee Wong, Ganeshsree Selvachandran, et al.
Air Quality Atmosphere & Health (2019) Vol. 13, Iss. 1, pp. 77-88
Closed Access | Times Cited: 70

Hyper-Parameter Optimization of Classifiers, Using an Artificial Immune Network and Its Application to Software Bug Prediction
Faiza Khan, Summrina Kanwal, Sultan Alamri, et al.
IEEE Access (2020) Vol. 8, pp. 20954-20964
Open Access | Times Cited: 53

An Enhanced Evolutionary Software Defect Prediction Method Using Island Moth Flame Optimization
Ruba Abu Khurma, Hamad Alsawalqah, Ibrahim Aljarah, et al.
Mathematics (2021) Vol. 9, Iss. 15, pp. 1722-1722
Open Access | Times Cited: 44

The impact of using biased performance metrics on software defect prediction research
Jingxiu Yao, Martin Shepperd
Information and Software Technology (2021) Vol. 139, pp. 106664-106664
Open Access | Times Cited: 43

Retracted: Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality
Muhammad Shafiq, Fatemah Alghamedy, Nasir Jamal, et al.
IET Software (2023) Vol. 17, Iss. 4, pp. 694-704
Open Access | Times Cited: 20

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: 42

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

Software defect prediction using hybrid techniques: a systematic literature review
Ruchika Malhotra, Sonali Chawla, Anjali Sharma
Soft Computing (2023) Vol. 27, Iss. 12, pp. 8255-8288
Closed Access | Times Cited: 13

Predictive Analytics and Software Defect Severity: A Systematic Review and Future Directions
Taiwo Olaleye, Oluwasefunmi Arogundade, Sanjay Misra, et al.
Scientific Programming (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 13

Recent trends in crowd management using deep learning techniques: a systematic literature review
Aisha M. Alasmari, Norah Farooqi, Youseef Alotaibi
Deleted Journal (2024)
Open Access | Times Cited: 4

Optimized Machine Learning Techniques for Software Fault Prediction
Chetan J. Shelke, Ashwini Mandale, Shaik Anjimoon, et al.
(2025), pp. 207-219
Closed Access

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

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

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

Experimental Validation of Inheritance Metrics’ Impact on Software Fault Prediction
Syed Rashid Aziz, Tamim Ahmed Khan, Aamer Nadeem
IEEE Access (2019) Vol. 7, pp. 85262-85275
Open Access | Times Cited: 34

The Impact of Software Fault Prediction in Real-World Application
Md. Razu Ahmed, Md. Asraf Ali, N. Ahmed, et al.
(2020)
Closed Access | Times Cited: 30

Towards Design and Feasibility Analysis of DePaaS: AI Based Global Unified Software Defect Prediction Framework
Mahesha Bangalore Ramalinga Pandit, Deepali Gupta, Divya Anand, et al.
Applied Sciences (2022) Vol. 12, Iss. 1, pp. 493-493
Open Access | Times Cited: 17

Machine Learning for Software Engineering: A Tertiary Study
Zoe Kotti, Rafaila Galanopoulou, Diomidis Spinellis
ACM Computing Surveys (2022) Vol. 55, Iss. 12, pp. 1-39
Open Access | Times Cited: 17

Heterogeneous stacked ensemble classifier for software defect prediction
Somya Goyal, Pradeep Kumar Bhatia
Multimedia Tools and Applications (2021) Vol. 81, Iss. 26, pp. 37033-37055
Closed Access | Times Cited: 21

Discriminating features-based cost-sensitive approach for software defect prediction
Aftab Ali, Naveed Khan, Mamun Abu-Tair, et al.
Automated Software Engineering (2021) Vol. 28, Iss. 2
Open Access | Times Cited: 20

Data and Ensemble Machine Learning Fusion Based Intelligent Software Defect Prediction System
Sagheer Abbas, Shabib Aftab, Muhammad Adnan Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 3, pp. 6083-6100
Open Access | Times Cited: 8

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