Sheng-Ta Hsieh

769 total citations
48 papers, 582 citations indexed

About

Sheng-Ta Hsieh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Sheng-Ta Hsieh has authored 48 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 13 papers in Signal Processing. Recurrent topics in Sheng-Ta Hsieh's work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (17 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). Sheng-Ta Hsieh is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (17 papers) and Advanced Multi-Objective Optimization Algorithms (16 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, Cheng-Wei Lin, Yu‐Hsiang Yu, Tsung-Ying Tsai, Shi-Jim Yen, Chin-Lun Lai 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

Sheng-Ta Hsieh

46 papers receiving 542 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sheng-Ta Hsieh Taiwan 11 312 167 103 96 77 48 582
Chan-Cheng Liu Taiwan 12 350 1.1× 157 0.9× 117 1.1× 154 1.6× 52 0.7× 33 648
Lixin Ding China 14 325 1.0× 172 1.0× 62 0.6× 101 1.1× 42 0.5× 65 596
Shang-Jeng Tsai Taiwan 12 261 0.8× 140 0.8× 126 1.2× 209 2.2× 50 0.6× 29 635
Junzhi Li China 11 344 1.1× 137 0.8× 75 0.7× 128 1.3× 71 0.9× 23 577
Ahmed F. Ali Egypt 13 341 1.1× 179 1.1× 67 0.7× 74 0.8× 84 1.1× 48 579
Lingjie Li China 12 247 0.8× 131 0.8× 55 0.5× 41 0.4× 41 0.5× 33 418
Omar Ávalos Mexico 12 250 0.8× 112 0.7× 109 1.1× 123 1.3× 104 1.4× 33 560
Xinming Zhang China 12 409 1.3× 169 1.0× 180 1.7× 119 1.2× 71 0.9× 33 686

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).

Fields of papers citing papers by Sheng-Ta Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Usman, Muhammad, et al.. (2025). Classifying developmental delays with EEG: A comparative study of machine learning and deep learning approaches. Journal of Applied Biomedicine. 45(2). 229–246. 1 indexed citations
2.
Hsieh, Sheng-Ta, et al.. (2018). The electrocardiogram interpretation system in homecare. 2018 IEEE International Conference on Applied System Invention (ICASI). 1167–1170. 1 indexed citations
3.
Hsieh, Sheng-Ta & Chun‐Ling Lin. (2017). Intelligent healthcare system using an Arduino microcontroller and an android-based smartphone. Biomedical Research-tokyo. 28(22). 9940–9946. 3 indexed citations
4.
Hsieh, Sheng-Ta & Chun‐Ling Lin. (2016). An Improved Artificial Bee Colony for Solving Multi-Objective Optimization Problems. 56–59. 1 indexed citations
5.
6.
Lin, Chun‐Ling, et al.. (2013). Fuzzy Neural Network-Based Influenza Diagnostic System. 12. 633–635. 3 indexed citations
7.
Hsieh, Sheng-Ta, et al.. (2013). An Improved Multi-Objective Genetic Algorithm for Solving Multi-objective Problems. Applied Mathematics & Information Sciences. 7(5). 1933–1941. 4 indexed citations
8.
Hsieh, Sheng-Ta, et al.. (2012). Real Random Mutation Strategy for Differential Evolution. 11. 86–90. 1 indexed citations
9.
Hsieh, Sheng-Ta. (2011). RFID medical information system: A system implementation on MSP430 platform. 40. 1–4. 3 indexed citations
10.
Hsieh, Sheng-Ta, Tsung-Ying Sun, Chan-Cheng Liu, & Shang-Jeng Tsai. (2008). Efficient Population Utilization Strategy for Particle Swarm Optimizer. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(2). 444–456. 132 indexed citations
11.
Sun, Tsung-Ying, et al.. (2008). Particle swarm optimizer for multi-objective problems based on proportional distribution and cross-over operation. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics. 2658–2663. 8 indexed citations
12.
Hsieh, Sheng-Ta, Tsung-Ying Sun, Chun‐Ling Lin, & Chan-Cheng Liu. (2008). Effective Learning Rate Adjustment of Blind Source Separation Based on an Improved Particle Swarm Optimizer. IEEE Transactions on Evolutionary Computation. 12(2). 242–251. 56 indexed citations
13.
Sun, Tsung-Ying, Chan-Cheng Liu, Sheng-Ta Hsieh, & Shang-Jeng Tsai. (2008). Blind separation with unknown number of sources based on auto-trimmed neural network. Neurocomputing. 71(10-12). 2271–2280. 10 indexed citations
14.
15.
Hsieh, Sheng-Ta, et al.. (2007). Cluster based solution exploration strategy for multiobjective particle swarm optimization. 295–300. 2 indexed citations
16.
Sun, Tsung-Ying, et al.. (2007). A robust blind sparse source separation algorithm using genetic algorithm to identify mixing matrix. International Conference on Signal Processing. 82–87. 1 indexed citations
17.
Liu, Chan-Cheng, et al.. (2007). Blind sparse source separation using cluster particle swarm optimization technique. 289–294. 4 indexed citations
18.
Sun, Tsung-Ying, et al.. (2006). Floorplanning based on particle swarm optimization. 5 pp.–5 pp.. 24 indexed citations
19.
Lin, Cheng-Wei, Sheng-Ta Hsieh, & Tsung-Ying Sun. (2005). Particle Swarm Optimization Incorporated with Dis-turbance for Improving the Efficiency of Macrocell Overlap Removal and Placement.. International Conference on Artificial Intelligence. 122–128. 2 indexed citations
20.
Hsieh, Sheng-Ta, Cheng-Wei Lin, & Tsung-Ying Sun. (2005). Particle swarm optimization for macrocell overlap removal and placement. 177–180. 6 indexed citations

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.

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