Shang-Jeng Tsai
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 5%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Tsung-Ying SunChan-Cheng LiuSheng-Ta HsiehYu‐Hsiang YuA. AkersSubhas Chandra MukhopadhyayJia‐Yaw ChangShih-Hsun Chen
- Topics
- Blind Source Separation Techniques (7 papers)Speech and Audio Processing (5 papers)Guidance and Control Systems (4 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Evolutionary ComputationNeurocomputing
- Partner nations
- TaiwanUnited StatesNew Zealand
In The Last Decade
Shang-Jeng Tsai
28 papers receiving 604 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 261
- Computer Vision and Pattern Recognition 209
- Automotive Engineering 157
- Computational Theory and Mathematics 140
- Control and Systems Engineering 126
Countries citing papers authored by Shang-Jeng Tsai
This map shows the geographic impact of Shang-Jeng Tsai'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 Shang-Jeng Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang-Jeng Tsai more than expected).
Fields of papers citing papers by Shang-Jeng Tsai
This network shows the impact of papers produced by Shang-Jeng Tsai. 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 Shang-Jeng Tsai. The network helps show where Shang-Jeng Tsai may publish in the future.
Co-authorship network of co-authors of Shang-Jeng Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Shang-Jeng Tsai. A scholar is included among the top collaborators of Shang-Jeng Tsai 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 Shang-Jeng Tsai. Shang-Jeng Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Design of lateral dynamics control for web Roll-to-Roll systems | 2 |
| 2 | 16 | |
| 3 | 14 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 132 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 23 | |
| 13 | 9 | |
| 14 | Blind sparse source separation using cluster particle swarm optimization technique | 4 |
| 15 | Intelligent Control of Air Combat Maneuvering Automation based on Input-output Linearization and Particle Swarm Optimizer | 2 |
| 16 | A robust blind sparse source separation algorithm using genetic algorithm to identify mixing matrix | 1 |
| 17 | 2 | |
| 18 | 14 | |
| 19 | 15 | |
| 20 | 1 |
About Shang-Jeng Tsai
Shang-Jeng Tsai is a scholar working on Signal Processing, Control and Systems Engineering and Automotive Engineering, having authored 29 papers that have together received 635 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (7 papers), Speech and Audio Processing (5 papers) and Guidance and Control Systems (4 papers). The work is most often cited by research in Automotive Engineering (157 citations), Computer Vision and Pattern Recognition (209 citations) and Computational Theory and Mathematics (140 citations). Shang-Jeng Tsai has collaborated with scholars based in Taiwan, United States and New Zealand. Frequent co-authors include Tsung-Ying Sun, Chan-Cheng Liu, Sheng-Ta Hsieh, Yu‐Hsiang Yu, A. Akers, Subhas Chandra Mukhopadhyay, Jia‐Yaw Chang, Shih-Hsun Chen and Hung‐Chun Chen. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Evolutionary Computation and Neurocomputing.
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.