Sheng-Ta Hsieh
About
Sheng-Ta Hsieh has authored 19 papers that have received a total of 330 indexed citations.
This includes 11 papers in Artificial Intelligence, 8 papers in Signal Processing and 5 papers in Computational Theory and Mathematics. The topics of these papers are Blind Source Separation Techniques (8 papers), Evolutionary Algorithms and Applications (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Sheng-Ta Hsieh is often cited by papers focused on Blind Source Separation Techniques (8 papers), Evolutionary Algorithms and Applications (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers) and collaborates with scholars based in Taiwan. Sheng-Ta Hsieh's co-authors include Tsung-Ying Sun, Chan-Cheng Liu, Shang-Jeng Tsai, Chun‐Ling Lin and Shi-Jim Yen and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Evolutionary Computation and Neurocomputing
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