Ming‐Shyan Wang

58 total papers · 438 total citations
44 papers, 330 citations indexed

About

Ming‐Shyan Wang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming‐Shyan Wang has authored 44 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 22 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming‐Shyan Wang's work include Sensorless Control of Electric Motors (19 papers), Electric Motor Design and Analysis (12 papers) and Multilevel Inverters and Converters (7 papers). Ming‐Shyan Wang is often cited by papers focused on Sensorless Control of Electric Motors (19 papers), Electric Motor Design and Analysis (12 papers) and Multilevel Inverters and Converters (7 papers). Ming‐Shyan Wang collaborates with scholars based in Taiwan, Indonesia and United States. Ming‐Shyan Wang's co-authors include Ying‐Shieh Kung, Yiming Tu, Cheng‐Hsin Chuang, Chia-Ming Chang, Chia‐Ming Chang, Tzuu‐Hseng S. Li and Min‐Fu Hsieh and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Ming‐Shyan Wang

43 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Ming‐Shyan Wang 158 146 57 49 37 44 330
Aimin An 114 0.7× 114 0.8× 39 0.7× 25 0.5× 26 0.7× 65 314
Ruizhen Gao 166 1.1× 68 0.5× 38 0.7× 72 1.5× 32 0.9× 54 324
František Ďurovský 166 1.1× 185 1.3× 52 0.9× 86 1.8× 14 0.4× 40 358
John Kern 205 1.3× 94 0.6× 40 0.7× 66 1.3× 45 1.2× 45 335
Boubekeur Mendil 182 1.2× 176 1.2× 69 1.2× 27 0.6× 19 0.5× 37 365
Rahul Kumar 199 1.3× 71 0.5× 49 0.9× 108 2.2× 28 0.8× 48 313
Karol Kyslan 172 1.1× 173 1.2× 33 0.6× 95 1.9× 18 0.5× 44 337
Aleš Janota 87 0.6× 71 0.5× 60 1.1× 48 1.0× 29 0.8× 53 305
Roland Szabó 141 0.9× 124 0.8× 95 1.7× 27 0.6× 46 1.2× 69 327
Shaosheng Fan 70 0.4× 114 0.8× 92 1.6× 26 0.5× 34 0.9× 37 303

Countries citing papers authored by Ming‐Shyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Shyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Shyan Wang. 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 Ming‐Shyan Wang. The network helps show where Ming‐Shyan Wang may publish in the future.

Co-authorship network of co-authors of Ming‐Shyan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Shyan Wang. A scholar is included among the top collaborators of Ming‐Shyan Wang 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 Ming‐Shyan Wang. Ming‐Shyan Wang 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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