Hsu‐Chih Huang

63 total papers · 1.6k total citations
55 papers, 1.2k citations indexed

About

Hsu‐Chih Huang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Hsu‐Chih Huang has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 37 papers in Computer Vision and Pattern Recognition and 20 papers in Biomedical Engineering. Recurrent topics in Hsu‐Chih Huang's work include Robotic Path Planning Algorithms (36 papers), Control and Dynamics of Mobile Robots (29 papers) and Robotic Locomotion and Control (14 papers). Hsu‐Chih Huang is often cited by papers focused on Robotic Path Planning Algorithms (36 papers), Control and Dynamics of Mobile Robots (29 papers) and Robotic Locomotion and Control (14 papers). Hsu‐Chih Huang collaborates with scholars based in Taiwan. Hsu‐Chih Huang's co-authors include Ching‐Chih Tsai, Shui‐Chun Lin, Cheng-Kai Chan, Sendren Sheng‐Dong Xu, Peiru Wang, Yuxiang Chen, Chunhao Yu, Taiyu Wang, Chen‐Chia Chuang and Chin‐Wang Tao and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

Hsu‐Chih Huang

52 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Hsu‐Chih Huang 761 568 234 233 168 55 1.2k
Ibraheem Kasim Ibraheem 638 0.8× 417 0.7× 177 0.8× 227 1.0× 200 1.2× 87 1.3k
Gregor Klančar 810 1.1× 758 1.3× 204 0.9× 136 0.6× 273 1.6× 67 1.2k
Erwin Prassler 370 0.5× 592 1.0× 158 0.7× 223 1.0× 264 1.6× 62 1.1k
Marin Kobilarov 560 0.7× 565 1.0× 194 0.8× 194 0.8× 378 2.3× 73 1.3k
B. K. Patle 459 0.6× 846 1.5× 187 0.8× 226 1.0× 397 2.4× 57 1.5k
Yugang Liu 517 0.7× 449 0.8× 359 1.5× 137 0.6× 223 1.3× 61 1.1k
Drago Matko 872 1.1× 281 0.5× 101 0.4× 242 1.0× 179 1.1× 109 1.3k
Ellips Masehian 392 0.5× 703 1.2× 135 0.6× 274 1.2× 351 2.1× 59 1.4k
Jinzhu Peng 724 1.0× 348 0.6× 191 0.8× 125 0.5× 179 1.1× 74 1.3k
Elena R. Messina 535 0.7× 371 0.7× 301 1.3× 292 1.3× 354 2.1× 108 1.5k

Countries citing papers authored by Hsu‐Chih Huang

Since Specialization
Citations

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

Fields of papers citing papers by Hsu‐Chih Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsu‐Chih Huang. 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 Hsu‐Chih Huang. The network helps show where Hsu‐Chih Huang may publish in the future.

Co-authorship network of co-authors of Hsu‐Chih Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsu‐Chih Huang. A scholar is included among the top collaborators of Hsu‐Chih Huang 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 Hsu‐Chih Huang. Hsu‐Chih Huang 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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