Sheng-Ta Hsieh
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Tsung-Ying SunChan-Cheng LiuShang-Jeng TsaiChun‐Ling LinCheng-Wei LinYu‐Hsiang YuShi-Jim YenTsung-Ying Tsai
- Topics
- Metaheuristic Optimization Algorithms Research (17 papers)Evolutionary Algorithms and Applications (17 papers)Advanced Multi-Objective Optimization Algorithms (16 papers)
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Evolutionary ComputationNeurocomputing
- Partner nations
- Taiwan
In The Last Decade
Sheng-Ta Hsieh
46 papers receiving 542 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 312
- Computational Theory and Mathematics 167
- Control and Systems Engineering 103
- Computer Vision and Pattern Recognition 96
- Electrical and Electronic Engineering 77
Countries citing papers authored by Sheng-Ta Hsieh
This map shows the geographic impact of Sheng-Ta Hsieh'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 Sheng-Ta Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng-Ta Hsieh more than expected).
Fields of papers citing papers by Sheng-Ta Hsieh
This network shows the impact of papers produced by Sheng-Ta Hsieh. 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 Sheng-Ta Hsieh. The network helps show where Sheng-Ta Hsieh may publish in the future.
Co-authorship network of co-authors of Sheng-Ta Hsieh
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Ta Hsieh. A scholar is included among the top collaborators of Sheng-Ta Hsieh 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 Sheng-Ta Hsieh. Sheng-Ta Hsieh 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 | Intelligent healthcare system using an Arduino microcontroller and an android-based smartphone | 3 |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 132 | |
| 11 | 56 | |
| 12 | 8 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | Blind sparse source separation using cluster particle swarm optimization technique | 4 |
| 16 | A robust blind sparse source separation algorithm using genetic algorithm to identify mixing matrix | 1 |
| 17 | Cluster based solution exploration strategy for multiobjective particle swarm optimization | 2 |
| 18 | 24 | |
| 19 | Particle Swarm Optimization Incorporated with Dis-turbance for Improving the Efficiency of Macrocell Overlap Removal and Placement. | 2 |
| 20 | 6 |
About Sheng-Ta Hsieh
Sheng-Ta Hsieh is a scholar working on Signal Processing, Computational Theory and Mathematics and Artificial Intelligence, having authored 48 papers that have together received 582 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (17 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). The work is most often cited by research in Computational Theory and Mathematics (167 citations), Artificial Intelligence (312 citations) and Signal Processing (60 citations). Sheng-Ta Hsieh has collaborated with scholars based in Taiwan. Frequent co-authors include Tsung-Ying Sun, Chan-Cheng Liu, Shang-Jeng Tsai, Chun‐Ling Lin, Cheng-Wei Lin, Yu‐Hsiang Yu, Shi-Jim Yen, Tsung-Ying Tsai, Chin-Lun Lai and Yu‐Chun Lo. 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.