Nureize Arbaiy

831 total citations
55 papers, 491 citations indexed

About

Nureize Arbaiy is a scholar working on Management Science and Operations Research, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Nureize Arbaiy has authored 55 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Science and Operations Research, 17 papers in Statistics and Probability and 16 papers in Control and Systems Engineering. Recurrent topics in Nureize Arbaiy's work include Multi-Criteria Decision Making (21 papers), Fuzzy Systems and Optimization (17 papers) and Optimization and Mathematical Programming (15 papers). Nureize Arbaiy is often cited by papers focused on Multi-Criteria Decision Making (21 papers), Fuzzy Systems and Optimization (17 papers) and Optimization and Mathematical Programming (15 papers). Nureize Arbaiy collaborates with scholars based in Malaysia, Japan and Taiwan. Nureize Arbaiy's co-authors include Karrar Hameed Abdulkareem, Junzo Watada, Riswan Efendi, Mustafa Mat Deris, Mahmood M. Salih, M. A. Alsalem, A. A. Zaidan, B. B. Zaidan, O. S. Albahri and Mohammed Nasser Al‐Mhiqani and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Nureize Arbaiy

42 papers receiving 454 citations

Peers

Nureize Arbaiy

MSOR

RNMI

CVPR

CSE

Mohamed Abdel-Basset Egypt

Shio Gai Quek Malaysia

Mohamadtaghi Rahimi Iran

Hadi Fanaee‐T Sweden

Divya Jain India

Khin Lwin United Kingdom

Ruidi Chen United States

Mohammad Ishak Desa Malaysia

Raja Marappan India

Ayesha Khan Pakistan

Mohamed Abdel-Basset Egypt

Nureize Arbaiy

187 ×1.0

MSOR

245 ×1.8

55 ×0.6

RNMI

61 ×1.1

CVPR

67 ×1.3

CSE

Citations per year, relative to Nureize Arbaiy Nureize Arbaiy (= 1×) peers Mohamed Abdel-Basset

Countries citing papers authored by Nureize Arbaiy

Since Specialization

Citations

This map shows the geographic impact of Nureize Arbaiy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nureize Arbaiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nureize Arbaiy more than expected).

Fields of papers citing papers by Nureize Arbaiy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nureize Arbaiy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nureize Arbaiy. The network helps show where Nureize Arbaiy may publish in the future.

Co-authorship network of co-authors of Nureize Arbaiy

This figure shows the co-authorship network connecting the top 25 collaborators of Nureize Arbaiy. A scholar is included among the top collaborators of Nureize Arbaiy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nureize Arbaiy. Nureize Arbaiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Arbaiy, Nureize, et al.. (2025). BiLSTM-Based Approach for Music Genre Classification. Procedia Computer Science. 263. 619–626.

Arbaiy, Nureize, et al.. (2024). Machine Learning for Soil Classification: Challenges and Opportunities. International Journal of Sustainable Construction Engineering and Technology (Universiti Tun Hussein Onn Malaysia). 1(1). 1 indexed citations

Ghazali, Rozaida, et al.. (2023). Gated Recurrent Unit for Landfill Area Estimation Based on Municipal Solid Waste Prediction. International journal of intelligent engineering and systems. 16(5). 688–701. 1 indexed citations

Mustapha, Aida, et al.. (2022). Deep learning for football outcomes prediction based on football rating system. AIP conference proceedings. 2644. 40007–40007. 2 indexed citations

Arbaiy, Nureize, et al.. (2022). Forecasting of ARIMA air pollution with improved fuzzy data preparation. AIP conference proceedings. 2644. 40006–40006. 1 indexed citations

Arbaiy, Nureize, et al.. (2022). Soil Classification based on Machine Learning for Crop Suggestion. International Journal of Sustainable Construction Engineering and Technology (Universiti Tun Hussein Onn Malaysia). 3(2). 3 indexed citations

Watada, Junzo, et al.. (2021). Hybrid Uncertainty-Goal Programming Model with Scaled Index for Production Planning Assessment. MDPI (MDPI AG). 1(1). 1–24. 1 indexed citations

Mohammed, Mazin Abed, Karrar Hameed Abdulkareem, Alaa S. Al‐Waisy, et al.. (2020). Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods. IEEE Access. 8. 99115–99131. 149 indexed citations

Ghazali, Rozaida, et al.. (2020). MCS-MCMC for Optimising Architectures and Weights of Higher Order Neural Networks. International Journal of Intelligent Systems and Applications. 12(5). 52–72. 2 indexed citations

10.

Ghazali, Rozaida, et al.. (2020). A Modified Weight Optimization for Artificial Higher Order Neural Networks in Physical Time Series. International Journal of Advanced Computer Science and Applications. 11(3). 1 indexed citations

11.

Abdulkareem, Karrar Hameed, Nureize Arbaiy, A. A. Zaidan, et al.. (2020). A Novel Multi-Perspective Benchmarking Framework for Selecting Image Dehazing Intelligent Algorithms Based on BWM and Group VIKOR Techniques. International Journal of Information Technology & Decision Making. 19(3). 909–957. 70 indexed citations

12.

Arbaiy, Nureize, et al.. (2018). An Expert System for Pneumococcal Prognosis. JOIV International Journal on Informatics Visualization. 2(3-2). 204–208. 1 indexed citations

13.

Efendi, Riswan, Noor Azah Samsudin, Nureize Arbaiy, & Mustafa Mat Deris. (2017). Maximum-minimum temperature prediction using fuzzy random auto-regression time series model. 57–60. 2 indexed citations

14.

Arbaiy, Nureize, et al.. (2017). Plant Watering Management System using Fuzzy Logic Approach in Oil Palm Nursery. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 129–134. 3 indexed citations

15.

Arbaiy, Nureize, et al.. (2017). Integrated Knowledge Based Expert System for Disease Diagnosis System. IOP Conference Series Materials Science and Engineering. 226. 12097–12097. 3 indexed citations

16.

Mustapha, Aida, et al.. (2016). Generic Assessment Rubrics for Computer Programming Courses. The turkish online journal of educational technology. 15(1). 53–68. 11 indexed citations

17.

Arbaiy, Nureize & Junzo Watada. (2011). BUILDING FUZZY GOAL PROGRAMMING WITH FUZZY RANDOM LINEARPROGRAMMING FOR MULTI-LEVEL MULTI-OBJECTIVE PROBLEM. 1(4). 911–925.

18.

Arbaiy, Nureize & Junzo Watada. (2011). Multi-Attribute Decision Making in Contractor Selection Under Hybrid Uncertainty. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(4). 465–472. 6 indexed citations

19.

Arbaiy, Nureize, et al.. (2011). Fuzzy random regression based multi-attribute evaluation and its application to oil palm fruit grading. Annals of Operations Research. 219(1). 299–315. 9 indexed citations

20.

Arbaiy, Nureize & Junzo Watada. (2009). Multi-criteria fuzzy regression model for evaluating oil palm grading. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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