Roselina Sallehuddin

1.2k total citations
69 papers, 812 citations indexed

About

Roselina Sallehuddin is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Roselina Sallehuddin has authored 69 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Roselina Sallehuddin's work include Stock Market Forecasting Methods (11 papers), Advanced machining processes and optimization (10 papers) and Advanced Machining and Optimization Techniques (7 papers). Roselina Sallehuddin is often cited by papers focused on Stock Market Forecasting Methods (11 papers), Advanced machining processes and optimization (10 papers) and Advanced Machining and Optimization Techniques (7 papers). Roselina Sallehuddin collaborates with scholars based in Malaysia, Nigeria and Iraq. Roselina Sallehuddin's co-authors include Azlan Mohd Zain, Siti Mariyam Shamsuddin, Yusliza Yusoff, Siti Zaiton Mohd Hashim, N. Hatta, Z. Shayfull, Ali Selamat, Siti Mariyam Shamsuddin, Habibollah Haron and Safian Sharif and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Networks and Neural Computing and Applications.

In The Last Decade

Roselina Sallehuddin

66 papers receiving 775 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roselina Sallehuddin Malaysia 17 267 192 131 98 75 69 812
Ebubekir Kaya Türkiye 12 360 1.3× 185 1.0× 91 0.7× 65 0.7× 58 0.8× 22 944
Özgür Yeniay Türkiye 12 200 0.7× 100 0.5× 80 0.6× 49 0.5× 78 1.0× 28 895
Usha A. Kumar India 6 236 0.9× 93 0.5× 69 0.5× 112 1.1× 46 0.6× 10 791
Mukta Paliwal India 6 219 0.8× 89 0.5× 66 0.5× 96 1.0× 43 0.6× 9 739
Ömer Faruk Beyca Türkiye 15 121 0.5× 296 1.5× 155 1.2× 201 2.1× 101 1.3× 24 823
Yong Zhou China 20 491 1.8× 380 2.0× 158 1.2× 43 0.4× 70 0.9× 111 1.3k
Boriana L. Milenova United States 7 398 1.5× 132 0.7× 108 0.8× 81 0.8× 42 0.6× 11 1.1k
Nyoman Gunantara Indonesia 6 140 0.5× 141 0.7× 93 0.7× 47 0.5× 35 0.5× 32 804
Krishna Pratap Singh India 12 182 0.7× 152 0.8× 82 0.6× 52 0.5× 54 0.7× 80 1.0k
Ely Salwana Malaysia 16 170 0.6× 215 1.1× 85 0.6× 217 2.2× 75 1.0× 44 925

Countries citing papers authored by Roselina Sallehuddin

Since Specialization
Citations

This map shows the geographic impact of Roselina Sallehuddin'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 Roselina Sallehuddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roselina Sallehuddin more than expected).

Fields of papers citing papers by Roselina Sallehuddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roselina Sallehuddin. 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 Roselina Sallehuddin. The network helps show where Roselina Sallehuddin may publish in the future.

Co-authorship network of co-authors of Roselina Sallehuddin

This figure shows the co-authorship network connecting the top 25 collaborators of Roselina Sallehuddin. A scholar is included among the top collaborators of Roselina Sallehuddin 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 Roselina Sallehuddin. Roselina Sallehuddin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sallehuddin, Roselina, et al.. (2023). Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction. Neural Computing and Applications. 35(14). 10473–10496. 1 indexed citations
2.
Sallehuddin, Roselina, et al.. (2021). Ensemble Based Filter Feature Selection with Harmonize Particle Swarm Optimization and Support Vector Machine for Optimal Cancer Classification. SHILAP Revista de lepidopterología. 5. 100054–100054. 30 indexed citations
3.
Sallehuddin, Roselina, et al.. (2021). Global Solar Radiation Forecasting using Artificial Neural Network and Support Vector Machine. Journal of Physics Conference Series. 2129(1). 12079–12079. 3 indexed citations
4.
Sallehuddin, Roselina, et al.. (2020). Missing Data Imputation with Hybrid Feature Selection for Fertility Dataset. ASM Science Journal. 1 indexed citations
5.
Sallehuddin, Roselina, et al.. (2019). Empirical Performance Evaluation of Imputation Techniques using Medical Dataset. IOP Conference Series Materials Science and Engineering. 551(1). 12055–12055. 1 indexed citations
6.
Hashim, Siti Zaiton Mohd, et al.. (2019). An Evolutionary Algorithm for Community Detection Using an Improved Mutation Operator. 406–410. 1 indexed citations
7.
Sallehuddin, Roselina, et al.. (2019). Support Vector Machine with Principle Component Analysis for Road Traffic Crash Severity Classification. IOP Conference Series Materials Science and Engineering. 551(1). 12068–12068. 1 indexed citations
8.
Hatta, N., Azlan Mohd Zain, Z. Shayfull, & Roselina Sallehuddin. (2018). AI approaches: Recent studies on shrinkage optimisation in injection moulding process. AIP conference proceedings. 2030. 20152–20152. 1 indexed citations
9.
Sallehuddin, Roselina, et al.. (2018). Fuzzy PCA and Support Vector Machines for Breast Cancer Classification. International Journal of Engineering & Technology. 7(3.7). 62–62. 2 indexed citations
10.
Yusoff, Yusliza, Azlan Mohd Zain, Astuty Amrin, et al.. (2017). Orthogonal based ANN and multiGA for optimization on WEDM of Ti–48Al intermetallic alloys. Artificial Intelligence Review. 52(1). 671–706. 17 indexed citations
11.
Zain, Azlan Mohd, et al.. (2017). Harmony search optimization in dimensional accuracy of die sinking EDM process using SS316L stainless steel. Journal of Physics Conference Series. 892. 12003–12003. 7 indexed citations
12.
Adab, Hamed, Kasturi Devi Kanniah, Karim Solaimani, & Roselina Sallehuddin. (2015). Modelling static fire hazard in a semi-arid region using frequency analysis. International Journal of Wildland Fire. 24(6). 763–777. 26 indexed citations
13.
Sallehuddin, Roselina, et al.. (2014). Classification of SIM Box Fraud Detection Using Support Vector Machine and Artificial Neural Network. 4(2). 3 indexed citations
14.
15.
Shamsuddin, Siti Mariyam, et al.. (2013). Economic indicators selection for crime rates forecasting using cooperative feature selection. AIP conference proceedings. 1221–1231. 2 indexed citations
16.
Mohamad, Mohd Saberi, et al.. (2013). Validation of Hierarchical Gene Clusters Using Repeated Measurements. Jurnal Teknologi. 61(1). 1 indexed citations
17.
Hasan, Shafaatunnur, et al.. (2012). ARTIFICIAL FISH SWARM OPTMIZATION FOR MULTILAYERNETWORK LEARNING IN CLASSIFICATION PROBLEMS. Journal of Information and Communication Technology. 11. 8 indexed citations
18.
Sallehuddin, Roselina, et al.. (2012). Supply Chain Spreadsheet Simulation Optimization. 144. 188–193. 1 indexed citations
19.
Zain, Azlan Mohd, et al.. (2011). Overview of Support Vector Machine in Modeling Machining Performances. Procedia Engineering. 24. 308–312. 88 indexed citations
20.
Hasan, Shafaatunnur, et al.. (2011). Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm. Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia). 4 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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