Su‐Dan Huang

115 total papers · 842 total citations
78 papers, 597 citations indexed

About

Su‐Dan Huang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Su‐Dan Huang has authored 78 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Control and Systems Engineering, 52 papers in Electrical and Electronic Engineering and 23 papers in Mechanical Engineering. Recurrent topics in Su‐Dan Huang's work include Electric Motor Design and Analysis (45 papers), Magnetic Bearings and Levitation Dynamics (36 papers) and Sensorless Control of Electric Motors (19 papers). Su‐Dan Huang is often cited by papers focused on Electric Motor Design and Analysis (45 papers), Magnetic Bearings and Levitation Dynamics (36 papers) and Sensorless Control of Electric Motors (19 papers). Su‐Dan Huang collaborates with scholars based in China, United States and Australia. Su‐Dan Huang's co-authors include Guang‐Zhong Cao, Yeping Peng, Ji’an Duan, Qingquan Qian, Jiangbiao He, Jianfei Pan, Zhengyou He, Ngaiming Kwok, Junqi Xu and Nan Chen and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

In The Last Decade

Su‐Dan Huang

68 papers receiving 586 citations

Author Peers

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

Author						Papers	Cites
Su‐Dan Huang	334	326	210	89	65	78	597
Qirui Wang	153 0.5×	213 0.7×	153 0.7×	72 0.8×	130 2.0×	63	653
Ömür Aydoğmuş	274 0.8×	350 1.1×	92 0.4×	34 0.4×	27 0.4×	56	614
Shir‐Kuan Lin	271 0.8×	218 0.7×	112 0.5×	44 0.5×	103 1.6×	61	599
Lijun Jin	107 0.3×	270 0.8×	71 0.3×	53 0.6×	144 2.2×	85	534
Markus Henke	163 0.5×	332 1.0×	153 0.7×	51 0.6×	11 0.2×	125	603
Xinhua Guo	249 0.7×	385 1.2×	111 0.5×	16 0.2×	22 0.3×	95	605
Xiaofeng Yang	366 1.1×	213 0.7×	169 0.8×	27 0.3×	16 0.2×	73	663
Guobin Lin	539 1.6×	204 0.6×	191 0.9×	48 0.5×	16 0.2×	29	664
Qingquan Qian	352 1.1×	381 1.2×	107 0.5×	46 0.5×	27 0.4×	54	555
Zhuo Long	374 1.1×	140 0.4×	162 0.8×	53 0.6×	98 1.5×	38	602

Countries citing papers authored by Su‐Dan Huang

Since Specialization

Citations

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

Fields of papers citing papers by Su‐Dan Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su‐Dan Huang

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