Ying-Tung Hsiao

1.4k total citations
38 papers, 1.1k citations indexed

About

Ying-Tung Hsiao is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ying-Tung Hsiao has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ying-Tung Hsiao's work include Power Quality and Harmonics (7 papers), Optimal Power Flow Distribution (7 papers) and Power System Reliability and Maintenance (5 papers). Ying-Tung Hsiao is often cited by papers focused on Power Quality and Harmonics (7 papers), Optimal Power Flow Distribution (7 papers) and Power System Reliability and Maintenance (5 papers). Ying-Tung Hsiao collaborates with scholars based in Taiwan and United States. Ying-Tung Hsiao's co-authors include Joe‐Air Jiang, Cheng-Long Chuang, Cheng-Chih Chien, Tsong-Liang Huang, Hsiao‐Dong Chiang, Yuanlin Chen, Yung‐Chung Wang, Chien-Hsing Lee, Chih-Hung Hung and Chih‐Wen Liu and has published in prestigious journals such as IEEE Transactions on Power Systems, Information Sciences and IEEE Transactions on Power Delivery.

In The Last Decade

Ying-Tung Hsiao

35 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying-Tung Hsiao Taiwan 16 746 446 302 242 86 38 1.1k
Mohamed A. Tolba Egypt 21 725 1.0× 424 1.0× 261 0.9× 276 1.1× 23 0.3× 55 1.1k
Kamel Kara Algeria 16 622 0.8× 459 1.0× 707 2.3× 467 1.9× 26 0.3× 51 1.2k
Javad Olamaei Iran 18 1000 1.3× 692 1.6× 71 0.2× 147 0.6× 34 0.4× 78 1.2k
Tawfik Guesmi Tunisia 16 549 0.7× 266 0.6× 86 0.3× 159 0.7× 111 1.3× 76 922
Mahmood Joorabian Iran 22 1.4k 1.8× 829 1.9× 95 0.3× 142 0.6× 30 0.3× 107 1.5k
Guangyu He China 18 837 1.1× 336 0.8× 96 0.3× 86 0.4× 24 0.3× 106 1.1k
Hamdan Daniyal Malaysia 13 445 0.6× 221 0.5× 84 0.3× 327 1.4× 46 0.5× 50 881
Borhan M. Sanandaji United States 18 1.2k 1.6× 687 1.5× 248 0.8× 190 0.8× 52 0.6× 29 1.5k
A. Ebenezer Jeyakumar India 13 1.1k 1.5× 255 0.6× 74 0.2× 177 0.7× 23 0.3× 53 1.3k
Dongyuan Shi China 19 616 0.8× 218 0.5× 588 1.9× 790 3.3× 32 0.4× 35 1.4k

Countries citing papers authored by Ying-Tung Hsiao

Since Specialization
Citations

This map shows the geographic impact of Ying-Tung Hsiao'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 Ying-Tung Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Tung Hsiao more than expected).

Fields of papers citing papers by Ying-Tung Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Tung Hsiao. 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 Ying-Tung Hsiao. The network helps show where Ying-Tung Hsiao may publish in the future.

Co-authorship network of co-authors of Ying-Tung Hsiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Tung Hsiao. A scholar is included among the top collaborators of Ying-Tung Hsiao 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 Ying-Tung Hsiao. Ying-Tung Hsiao 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.
Lin, Shu‐Min, et al.. (2024). Optimal design of single-tuned filters for industrial power systems to reduce harmonic distortion using forest algorithm. Journal of the Chinese Institute of Engineers. 47(4). 414–422. 1 indexed citations
2.
Hsiao, Ying-Tung, et al.. (2024). Multi-objective optimization of planning single-tuned harmonic filter utilizing interactive forest algorithm. Information Sciences. 661. 120141–120141.
3.
Hsiao, Ying-Tung, et al.. (2023). Efficient Object Detection and Intelligent Information Display Using YOLOv4-Tiny. 9(1). 42–49. 2 indexed citations
4.
Hsiao, Ying-Tung, et al.. (2013). Pedometer Development Utilizing An Accelerometer Sensor. International Journal of Electrical and Computer Engineering (IJECE). 7(7). 864–869. 1 indexed citations
5.
Hsiao, Ying-Tung, et al.. (2012). Network Reconfiguration and Restoration Planning Based on a Heuristic Rule Base for Teaching Distribution System Operations. INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 4(6). 352–359.
6.
Jiang, Joe‐Air, Cheng-Long Chuang, Yung‐Chung Wang, et al.. (2011). A Hybrid Framework for Fault Detection, Classification, and Location—Part I: Concept, Structure, and Methodology. IEEE Transactions on Power Delivery. 26(3). 1988–1998. 104 indexed citations
7.
Chuang, Cheng-Long, et al.. (2009). An Adaptive Routing Algorithm Over Packet Switching Networks for Operation Monitoring of Power Transmission Systems. IEEE Transactions on Power Delivery. 25(2). 882–890. 15 indexed citations
8.
Huang, Tsong-Liang, et al.. (2007). Optimal placement of capacitors in distribution systems using an immune multi-objective algorithm. International Journal of Electrical Power & Energy Systems. 30(3). 184–192. 52 indexed citations
9.
Hsiao, Ying-Tung, Cheng-Long Chuang, Joe‐Air Jiang, & Cheng-Chih Chien. (2006). Robust Multiple Targets Tracking Using Object Segmentation and Trajectory Estimation in Video. Tamkang University Institutional Repository (TKUIR). 2. 1080–1085. 1 indexed citations
10.
Hsiao, Ying-Tung, et al.. (2006). A Contour based Image Segmentation Algorithm using Morphological Edge Detection. 3. 2962–2967. 31 indexed citations
11.
Jiang, Joe‐Air, et al.. (2005). Maximum Power Tracking for Photovoltaic Power Systems. Journal of Applied Science and Engineering. 8(2). 147–153. 203 indexed citations
12.
Hsiao, Ying-Tung, et al.. (2005). A mathematical morphological method to thin edge detection in dark region. 830. 310–313. 2 indexed citations
13.
Hsiao, Ying-Tung, Cheng-Long Chuang, & Cheng-Chih Chien. (2005). Ant colony optimization for best path planning. 1. 109–113. 41 indexed citations
15.
Hsiao, Ying-Tung, Cheng-Long Chuang, & Joe‐Air Jiang. (2005). A Novel Dynamic Structural Neural Network with Nruro-Regeneration and Neuro-Degeneration. 401. 9–14. 2 indexed citations
17.
Hsiao, Ying-Tung, et al.. (2004). Optimal capacitor placement in distribution systems using a combination fuzzy-GA method. International Journal of Electrical Power & Energy Systems. 26(7). 501–508. 62 indexed citations
18.
Hsiao, Ying-Tung. (2001). Design of Filters for Reducing Harmonic Distortion and Correcting Power Factor in Industrial Distribution Systems. Journal of Applied Science and Engineering. 4(3). 193–199. 24 indexed citations
19.
Hsiao, Ying-Tung & Hsiao‐Dong Chiang. (2000). Applying network window schema and a simulated annealing technique to optimal VAR planning in large-scale power systems. International Journal of Electrical Power & Energy Systems. 22(1). 1–8. 17 indexed citations
20.
Hsiao, Ying-Tung, et al.. (1994). A multiobjective optimization approach to loading balance and grounding planning in three-phase four-wire distribution systems. Electric Power Systems Research. 31(3). 163–174. 3 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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