Sheng-Ta Hsieh

21 papers and 337 indexed citations i.

About

Sheng-Ta Hsieh is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Sheng-Ta Hsieh has authored 21 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Signal Processing and 5 papers in Computational Theory and Mathematics. Recurrent topics in Sheng-Ta Hsieh’s work include 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). Sheng-Ta Hsieh 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, Yu‐Hsiang Yu, Shi-Jim Yen, Cheng-Wei Lin, Muhammad Usman, Yi‐Chung Lin and Yu‐Chun Lo and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Evolutionary Computation and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Sheng-Ta Hsieh i

Fields of papers citing papers by Sheng-Ta Hsieh

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Sheng-Ta Hsieh. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sheng-Ta Hsieh may publish in the future.

Countries citing papers authored by Sheng-Ta Hsieh

Since Specialization
Citations

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).

Rankless by CCL
2025