Ming-Ying Hsiao

27 total papers · 521 total citations
24 papers, 423 citations indexed

About

Ming-Ying Hsiao is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ming-Ying Hsiao has authored 24 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Ming-Ying Hsiao's work include Robotic Path Planning Algorithms (10 papers), Adaptive Control of Nonlinear Systems (9 papers) and Control and Dynamics of Mobile Robots (8 papers). Ming-Ying Hsiao is often cited by papers focused on Robotic Path Planning Algorithms (10 papers), Adaptive Control of Nonlinear Systems (9 papers) and Control and Dynamics of Mobile Robots (8 papers). Ming-Ying Hsiao collaborates with scholars based in Taiwan. Ming-Ying Hsiao's co-authors include Shun‐Hung Tsai, Tzuu‐Hseng S. Li, Chih‐Yang Chen, Yingchieh Yeh, T.-H.S. Li, Wenhui Chen, Kun-Lin Tsai and Chin‐Sheng Chen and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Information Sciences and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Ming-Ying Hsiao

23 papers receiving 395 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-Ying Hsiao 257 137 103 63 43 24 423
Shuta Murakami 264 1.0× 253 1.8× 103 1.0× 30 0.5× 36 0.8× 31 454
Sophan Wahyudi Nawawi 181 0.7× 129 0.9× 76 0.7× 22 0.3× 72 1.7× 43 448
David Ricardo Cruz 199 0.8× 140 1.0× 66 0.6× 73 1.2× 95 2.2× 17 475
Wei Zhang 122 0.5× 79 0.6× 120 1.2× 27 0.4× 23 0.5× 28 385
Yi-Hsing Chien 239 0.9× 123 0.9× 94 0.9× 48 0.8× 16 0.4× 27 377
Andriy Sarabakha 190 0.7× 148 1.1× 86 0.8× 49 0.8× 62 1.4× 22 376
F.J. Moreno-Velo 193 0.8× 165 1.2× 143 1.4× 23 0.4× 54 1.3× 15 391
Tadanari Taniguchi 259 1.0× 111 0.8× 23 0.2× 49 0.8× 47 1.1× 30 387
Jonathan DeCastro 202 0.8× 98 0.7× 121 1.2× 39 0.6× 30 0.7× 40 465
Mikio Maeda 237 0.9× 230 1.7× 102 1.0× 22 0.3× 56 1.3× 25 381

Countries citing papers authored by Ming-Ying Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Ying Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Ying Hsiao. 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-Ying Hsiao. The network helps show where Ming-Ying Hsiao may publish in the future.

Co-authorship network of co-authors of Ming-Ying Hsiao

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