Cagatay Catal

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Bedir TekinerdoganProfessor of Software and Systems Engineering, Wageningen University, The NetherlandsVerified email at wur.nl
Prof. Dr. Banu DiriComputer Engineering, Yildiz Technical UniversityVerified email at yildiz.edu.tr
dr.ir. Ayalew KassahunWageningen UniversityVerified email at wur.nl
Ali Seydi KeçeliHacettepe UniversityVerified email at cs.hacettepe.edu.tr
Aydin KayaHacettepe University, Department of Computer EngineeringVerified email at cs.hacettepe.edu.tr
Raymon van DinterSioux Technologies, Wageningen University and ResearchVerified email at wur.nl
Alper OzcanAkdeniz UniversityVerified email at akdeniz.edu.tr
Ahmet KaşifBilgisayar Mühendisliği, Bursa Technical UniversityVerified email at btu.edu.tr
Vahid Garousi (Vəhid Gəruslu)Professor of Software Engineering, Queen’s University - Software Testing Strategy ConsultantVerified email at qub.ac.uk
Joep TummersResearcher at Wageningen Economic Research, IT advisor at Tummers dataVerified email at wur.nl
Hilde TobiUniversitair hoofddocent, Wageningen UniversityVerified email at wur.nl
Gorkem KarAssistant professor, University of Central MissouriVerified email at ucmo.edu
Qingzhi LiuAssistant Professor, Wageningen University & ResearchVerified email at wur.nl
Büşra KOCAÇINARİstanbul Kültür ÜniversitesiVerified email at iku.edu.tr
Daniel KirkKing's College LondonVerified email at kcl.ac.uk
Adeel EhsanGovernment of QatarVerified email at qu.edu.qa
PPJ (Rik) van der TolWageningen University & ResearchVerified email at wur.nl
Ngakan Nyoman Kutha KrisnawijayaUniversitas Pendidikan NasionalVerified email at undiknas.ac.id
Dr. Cigdem AvciWageningen University, Middle East Technical UniversityVerified email at metu.edu.tr
cengiz togayUludag UniversityVerified email at uludag.edu.tr

Cagatay Catal

Professor in Computer Science

Verified email at qu.edu.qa - Homepage

Software Engineering Artificial Intelligence Software Testing Software Architecture


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Crop Yield Prediction using Machine Learning: A Systematic Literature Review CC Thomas van Klompenburg, Ayalew Kassahun Computers and Electronics in Agriculture 177, 2020	1160	2020
A systematic review of software fault prediction studies C Catal, B Diri Expert systems with applications 36 (4), 7346-7354, 2009	734	2009
Analysis of transfer learning for deep neural network based plant classification models A Kaya, AS Keceli, C Catal, HY Yalic, H Temucin, B Tekinerdogan Computers and electronics in agriculture 158, 20-29, 2019	449	2019
Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem C Catal, B Diri Information Sciences 179 (8), 1040-1058, 2009	440	2009
Software fault prediction: A literature review and current trends C Catal Expert systems with applications 38 (4), 4626-4636, 2011	434	2011
On the use of ensemble of classifiers for accelerometer-based activity recognition C Catal, S Tufekci, E Pirmit, G Kocabag Applied Soft Computing 37, 1018-1022, 2015	302	2015
A sentiment classification model based on multiple classifiers C Catal, M Nangir Applied Soft Computing 50, 135-141, 2017	280	2017
Automation of systematic literature reviews: A systematic literature review R Van Dinter, B Tekinerdogan, C Catal Information and Software Technology 136, 106589, 2021	263	2021
Systematic reviews in sentiment analysis: a tertiary study A Ligthart, C Catal, B Tekinerdogan Artificial intelligence review, 1-57, 2021	254	2021
Test case prioritization: a systematic mapping study C Catal, D Mishra Software Quality Journal 21, 445-478, 2013	229	2013
Machine learning applications in production lines: A systematic literature review Z Kang, C Catal, B Tekinerdogan Computers & Industrial Engineering 149, 106773, 2020	221	2020
Predictive maintenance using digital twins: A systematic literature review R van Dinter, B Tekinerdogan, C Catal Information and Software Technology 151, 107008, 2022	213	2022
Closing the Gap Between Software Engineering Education and Industrial Needs MF Vahid Garousi, Gorkem Giray, Eray Tuzun, Cagatay Catal IEEE Software 37 (2), 68-77, 2020	189*	2020
Design of a reference architecture for developing smart warehouses in industry 4.0 M Van Geest, B Tekinerdogan, C Catal Computers in industry 124, 103343, 2021	157	2021
Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm C Catal, U Sevim, B Diri Expert Systems with Applications 38 (3), 2347-2353, 2011	137	2011
Precision nutrition: A systematic literature review D Kirk, C Catal, B Tekinerdogan Computers in Biology and Medicine 133, 104365, 2021	129	2021
Clustering and metrics thresholds based software fault prediction of unlabeled program modules C Catal, U Sevim, B Diri 2009 Sixth international conference on information technology: new …, 2009	124	2009
Performance evaluation metrics for software fault prediction studies C Catal Acta Polytechnica Hungarica 9 (4), 193-206, 2012	113	2012
Empirical analysis of change metrics for software fault prediction GR Choudhary, S Kumar, K Kumar, A Mishra, C Catal Computers & Electrical Engineering 67, 15-24, 2018	104	2018
Aligning education for the life sciences domain to support digitalization and industry 4.0 C Catal, B Tekinerdogan Procedia computer science 158, 99-106, 2019	102	2019

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