Shin-Hung Chang

598 total citations · 1 hit paper
9 papers, 476 citations indexed

About

Shin-Hung Chang is a scholar working on Control and Systems Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Shin-Hung Chang has authored 9 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 3 papers in Automotive Engineering and 3 papers in Mechanical Engineering. Recurrent topics in Shin-Hung Chang's work include Adaptive Control of Nonlinear Systems (4 papers), Iterative Learning Control Systems (3 papers) and Sensorless Control of Electric Motors (3 papers). Shin-Hung Chang is often cited by papers focused on Adaptive Control of Nonlinear Systems (4 papers), Iterative Learning Control Systems (3 papers) and Sensorless Control of Electric Motors (3 papers). Shin-Hung Chang collaborates with scholars based in Taiwan and United States. Shin-Hung Chang's co-authors include Tzu-Chun Kuo and Ying‐Jeh Huang and has published in prestigious journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), ISA Transactions and International Journal of Automotive Technology.

In The Last Decade

Shin-Hung Chang

8 papers receiving 465 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adaptive Sliding-Mode Control for NonlinearSystems With Uncertain Parameters

2008 397 citations Ying‐Jeh Huang, Tzu-Chun Kuo et al. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) profile →

Peers

Shin-Hung Chang

CSE

ME

EEE

AE

Ying‐Jeh Huang Taiwan

Tzu-Chun Kuo Taiwan

D. Dawson United States

S. Shao United States

Antonio Estrada Mexico

Wenyan Bai China

E. Ostertag France

Przemysław Herman Poland

Tianyi Zeng China

Richard Seeber Austria

Ying‐Jeh Huang Taiwan

Shin-Hung Chang

428 ×1.1

CSE

108 ×1.0

ME

63 ×0.8

EEE

58 ×1.0

AE

37 ×0.8

AE

Citations per year, relative to Shin-Hung Chang Shin-Hung Chang (= 1×) peers Ying‐Jeh Huang

Countries citing papers authored by Shin-Hung Chang

Since Specialization

Citations

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

Fields of papers citing papers by Shin-Hung Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin-Hung Chang. 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 Shin-Hung Chang. The network helps show where Shin-Hung Chang may publish in the future.

Co-authorship network of co-authors of Shin-Hung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shin-Hung Chang. A scholar is included among the top collaborators of Shin-Hung Chang 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 Shin-Hung Chang. Shin-Hung Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Chang, Shin-Hung, et al.. (2024). Experimental evaluation of an integrated traction inverter used on an electric vehicle platform. 368–371.

2.

Chang, Shin-Hung, et al.. (2017). Decoupled self-tuning PI controller for an idling stop system applied to scooters. International Journal of Automotive Technology. 18(4). 663–670. 1 indexed citations

3.

Chang, Shin-Hung, et al.. (2013). Design of integrated power module for electric scooter. 1. 1–5. 2 indexed citations

4.

Chang, Shin-Hung, et al.. (2010). Self-tuning gains of PI controllers for current control in a PMSM. 1282–1286. 13 indexed citations

5.

Chang, Shin-Hung, et al.. (2010). Robust current control for PMSMs using sliding mode control with uncertainties estimation. 7. 117–122. 1 indexed citations

6.

Chang, Shin-Hung, et al.. (2009). Implementation and Control Logic Design of Intelligent Electric Power Steering System. World Electric Vehicle Journal. 3(4). 711–718. 3 indexed citations

7.

Huang, Ying‐Jeh, Tzu-Chun Kuo, & Shin-Hung Chang. (2008). Adaptive Sliding-Mode Control for NonlinearSystems With Uncertain Parameters. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(2). 534–539. 397 indexed citations breakdown →

8.

Huang, Ying‐Jeh, Tzu-Chun Kuo, & Shin-Hung Chang. (2008). Adaptive Sliding-Mode Control for Nonlinear Systems With Uncertain Parameters. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 12 indexed citations

9.

Kuo, Tzu-Chun, Ying‐Jeh Huang, & Shin-Hung Chang. (2007). Sliding mode control with self-tuning law for uncertain nonlinear systems. ISA Transactions. 47(2). 171–178. 47 indexed citations

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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