Chiang‐Ju Chien
- Control and Systems Engineering top 0.5%
- Mechanical Engineering top 5%
- Biomedical Engineering
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Abdelhamid TayebiChia-Yu YaoLi‐Chen FuJing‐Sin LiuCheng‐Ting HsuDong ShenChing‐Cheng TengWei Zhang
- Topics
- Iterative Learning Control Systems (80 papers)Piezoelectric Actuators and Control (28 papers)Advanced machining processes and optimization (25 papers)
In The Last Decade
Chiang‐Ju Chien
106 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 1.3k
- Mechanical Engineering 610
- Biomedical Engineering 236
- Materials Chemistry 132
- Electrical and Electronic Engineering 118
Countries citing papers authored by Chiang‐Ju Chien
This map shows the geographic impact of Chiang‐Ju Chien'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 Chiang‐Ju Chien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiang‐Ju Chien more than expected).
Fields of papers citing papers by Chiang‐Ju Chien
This network shows the impact of papers produced by Chiang‐Ju Chien. 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 Chiang‐Ju Chien. The network helps show where Chiang‐Ju Chien may publish in the future.
Co-authorship network of co-authors of Chiang‐Ju Chien
This figure shows the co-authorship network connecting the top 25 collaborators of Chiang‐Ju Chien. A scholar is included among the top collaborators of Chiang‐Ju Chien 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 Chiang‐Ju Chien. Chiang‐Ju Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 115 | |
| 8 | An Observer-Based Model Reference Adaptive Iterative Learning Controller for Nonlinear Systems | 6 |
| 9 | 2 | |
| 10 | 6 | |
| 11 | Design and Analysis of Fuzzy-Neural Discrete Adaptive Iterative Learning Control for Nonlinear Plants | 18 |
| 12 | 2 | |
| 13 | 3 | |
| 14 | Decentralized adaptive iterative learning control for nonaffine nonlinear interconnected systems | 2 |
| 15 | A Hybrid Adaptive Scheme of Fuzzy-Neural Iterative Learning Controller for Nonlinear Dynamic Systems | 10 |
| 16 | 14 | |
| 17 | 82 | |
| 18 | A Partial MILP Algorithm for the Design of Linear Phase FIR Filters with SPT Coefficients | 20 |
| 19 | 9 | |
| 20 | 36 |
About Chiang‐Ju Chien
Chiang‐Ju Chien is a scholar working on Control and Systems Engineering, Mechanical Engineering and Signal Processing, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (80 papers), Piezoelectric Actuators and Control (28 papers) and Advanced machining processes and optimization (25 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Mechanical Engineering (610 citations) and Signal Processing (83 citations). Chiang‐Ju Chien has collaborated with scholars based in Taiwan, China and Singapore. Frequent co-authors include Abdelhamid Tayebi, Chia-Yu Yao, Li‐Chen Fu, Jing‐Sin Liu, Cheng‐Ting Hsu, Dong Shen, Ching‐Cheng Teng, Wei Zhang, Youqing Wang and Ronghu Chi. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Automatic Control and Automatica.
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.