Rubiyah Yusof

105 papers receiving 1.7k citations

Peers

Rubiyah Yusof
Comparison fields: 5 of 132
  • Electrical and Electronic Engineering 470
  • Artificial Intelligence 469
  • Control and Systems Engineering 352
  • Computer Vision and Pattern Recognition 309
  • Organic Chemistry 222
Replace Sungshin Kim with:
Sungshin Kim South Korea
Ademir Nied Brazil
Xinyu Zhou China
Malik Braik Jordan
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Giacomo Capizzi Italy
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Anis Salwa Mohd Khairuddin Malaysia
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Citations per field
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Countries citing papers authored by Rubiyah Yusof

Since Specialization
Citations

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

Fields of papers citing papers by Rubiyah Yusof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubiyah Yusof

This figure shows the co-authorship network connecting the top 25 collaborators of Rubiyah Yusof. A scholar is included among the top collaborators of Rubiyah Yusof 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 Rubiyah Yusof. Rubiyah Yusof 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
#WorkIndexed citations
1 6
2 12
3 5
4 6
5
A new metaheuristic algorithm for global optimization over continuous search space
7
6 24
7 70
8 18
9
A new mutation operation for faster convergence in genetic algorithm feature selection
14
10
Review on partial discharge detection and measurement in electrical power equipments
1
11
Fusion of multi-classifiers for online signature verification using fuzzy logic inference
7
12
Self organizing multi-objective optimization problem
4
13
Multimodal biometric recognition based on fusion of low resolution face and finger veins
14
14
CSLDA and LDA fusion based face recognition
1
15 5
16 28
17 6
18 7
19
Enhanced feature selections of Adaboost training for face detection using genetic algorithm (GABoost)
1
20 189

About Rubiyah Yusof

Rubiyah Yusof is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 108 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wood and Agarwood Research (17 papers), Industrial Vision Systems and Defect Detection (14 papers) and Neural Networks and Applications (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (158 citations), Control and Systems Engineering (352 citations) and Computer Vision and Pattern Recognition (309 citations). Rubiyah Yusof has collaborated with scholars based in Malaysia, India and Iran. Frequent co-authors include Rasoul Rahmani, Marzuki Khalid, M. Khalid, Saad Mekhilef, Mehdi Seyedmahmoudian, Anis Salwa Mohd Khairuddin, Parvaneh Shabanzadeh, Kamyar Shameli, Mohammad Taghi Ahmadi and Junzo Watada. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and IEEE Access.

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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