Mat Syai’in
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Adi SoeprijantoKuo Lung LianOntoseno PenangsangI Made Yulistya NegaraYu-Chun WangNien‐Che YangTsai-Hsiang ChenAgus Budianto
- Topics
- Smart Grid Energy Management (13 papers)Microgrid Control and Optimization (12 papers)Machine Learning and ELM (9 papers)
- Journals
- WaterInternational Journal of Electrical and Computer Engineering (IJECE)Journal of Physics Conference Series
In The Last Decade
Mat Syai’in
46 papers receiving 399 citations
Peers
Comparison fields: 5 of 72
- Electrical and Electronic Engineering 181
- Artificial Intelligence 124
- Control and Systems Engineering 112
- Information Systems 69
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Mat Syai’in
This map shows the geographic impact of Mat Syai’in'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 Mat Syai’in with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mat Syai’in more than expected).
Fields of papers citing papers by Mat Syai’in
This network shows the impact of papers produced by Mat Syai’in. 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 Mat Syai’in. The network helps show where Mat Syai’in may publish in the future.
Co-authorship network of co-authors of Mat Syai’in
This figure shows the co-authorship network connecting the top 25 collaborators of Mat Syai’in. A scholar is included among the top collaborators of Mat Syai’in 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 Mat Syai’in. Mat Syai’in is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 20 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 28 | |
| 16 | 34 | |
| 17 | 16 | |
| 18 | 13 | |
| 19 | 18 | |
| 20 | 18 |
About Mat Syai’in
Mat Syai’in is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Artificial Intelligence, having authored 52 papers that have together received 421 indexed citations. Recurring topics across this work include Smart Grid Energy Management (13 papers), Microgrid Control and Optimization (12 papers) and Machine Learning and ELM (9 papers). The work is most often cited by research in Control and Systems Engineering (112 citations), Artificial Intelligence (124 citations) and Computer Science Applications (20 citations). Mat Syai’in has collaborated with scholars based in Indonesia, Taiwan and Germany. Frequent co-authors include Adi Soeprijanto, Kuo Lung Lian, Ontoseno Penangsang, I Made Yulistya Negara, Yu-Chun Wang, Nien‐Che Yang, Tsai-Hsiang Chen, Agus Budianto, Y.-R. Chang and C. Liu. Their work appears in journals such as Water, International Journal of Electrical and Computer Engineering (IJECE) and Journal of Physics Conference Series.
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.