Mat Syai’in

91 total papers · 574 total citations
53 papers, 419 citations indexed

About

Mat Syai’in is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Mat Syai’in has authored 53 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 19 papers in Control and Systems Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Mat Syai’in's work include Smart Grid Energy Management (13 papers), Microgrid Control and Optimization (12 papers) and Machine Learning and ELM (9 papers). Mat Syai’in is often cited by papers focused on Smart Grid Energy Management (13 papers), Microgrid Control and Optimization (12 papers) and Machine Learning and ELM (9 papers). Mat Syai’in collaborates with scholars based in Indonesia, Taiwan and Germany. Mat Syai’in's co-authors include Adi Soeprijanto, Kuo Lung Lian, Ontoseno Penangsang, I Made Yulistya Negara, Yu-Chun Wang, Tsai-Hsiang Chen, Nien‐Che Yang, Agus Budianto, Y.-R. Chang and C. Liu and has published in prestigious journals such as Water, International Journal of Electrical and Computer Engineering (IJECE) and Journal of Physics Conference Series.

In The Last Decade

Mat Syai’in

47 papers receiving 397 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mat Syai’in 181 124 111 69 56 53 419
Qiang Zhao 216 1.2× 123 1.0× 151 1.4× 33 0.5× 37 0.7× 25 425
Edgar A. Rivas-Araiza 124 0.7× 71 0.6× 79 0.7× 37 0.5× 31 0.6× 27 416
Andi Adriansyah 159 0.9× 40 0.3× 106 1.0× 52 0.8× 85 1.5× 68 403
Xifeng Guo 306 1.7× 151 1.2× 74 0.7× 22 0.3× 72 1.3× 39 486
S Santosh Kumar 185 1.0× 60 0.5× 42 0.4× 72 1.0× 50 0.9× 48 488
Francisco Mugica 203 1.1× 141 1.1× 62 0.6× 44 0.6× 42 0.8× 52 485
Eustace M. Dogo 64 0.4× 128 1.0× 46 0.4× 55 0.8× 80 1.4× 26 487
Jong-Chan Kim 202 1.1× 186 1.5× 59 0.5× 27 0.4× 49 0.9× 33 442
Xuecong Li 253 1.4× 58 0.5× 120 1.1× 26 0.4× 37 0.7× 49 419
Sushabhan Choudhury 175 1.0× 81 0.7× 42 0.4× 28 0.4× 33 0.6× 47 479

Countries citing papers authored by Mat Syai’in

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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