Shao-Hong Tsai

10 total papers · 594 total citations
10 papers, 447 citations indexed

About

Shao-Hong Tsai is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Shao-Hong Tsai has authored 10 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Control and Systems Engineering and 1 paper in Safety, Risk, Reliability and Quality. Recurrent topics in Shao-Hong Tsai's work include Power System Optimization and Stability (9 papers), Power Systems Fault Detection (5 papers) and HVDC Systems and Fault Protection (4 papers). Shao-Hong Tsai is often cited by papers focused on Power System Optimization and Stability (9 papers), Power Systems Fault Detection (5 papers) and HVDC Systems and Fault Protection (4 papers). Shao-Hong Tsai collaborates with scholars based in Taiwan and United States. Shao-Hong Tsai's co-authors include Yilu Liu, A.G. Phadke, Li Zhang, Richard W. Conners, Virgilio Centeno, Zhong Zheng, Changqing Xu, Yuan‐Kang Wu, Ching-Yin Lee and David Lubkeman and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Power Delivery and International Journal of Electrical Power & Energy Systems.

In The Last Decade

Shao-Hong Tsai

10 papers receiving 427 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shao-Hong Tsai 401 272 50 42 24 10 447
Jason Bank 464 1.2× 307 1.1× 52 1.0× 79 1.9× 18 0.8× 20 522
Walter Sattinger 418 1.0× 316 1.2× 50 1.0× 38 0.9× 15 0.6× 21 452
Gefei Kou 445 1.1× 331 1.2× 29 0.6× 22 0.5× 49 2.0× 19 479
M.A.M. Ariff 390 1.0× 253 0.9× 45 0.9× 54 1.3× 19 0.8× 20 441
Zhongyu Wu 453 1.1× 308 1.1× 26 0.5× 39 0.9× 25 1.0× 14 533
F. Eugenio Villaseca 331 0.8× 193 0.7× 43 0.9× 61 1.5× 15 0.6× 20 437
J.M. Johnson 375 0.9× 253 0.9× 35 0.7× 50 1.2× 7 0.3× 7 427
Naim Logic 470 1.2× 375 1.4× 68 1.4× 64 1.5× 5 0.2× 15 539
R.J. Murphy 448 1.1× 363 1.3× 33 0.7× 42 1.0× 7 0.3× 13 492
Scott G. Ghiocel 432 1.1× 282 1.0× 50 1.0× 76 1.8× 11 0.5× 17 535

Countries citing papers authored by Shao-Hong Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Hong Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Hong Tsai. 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 Shao-Hong Tsai. The network helps show where Shao-Hong Tsai may publish in the future.

Co-authorship network of co-authors of Shao-Hong Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Shao-Hong Tsai. A scholar is included among the top collaborators of Shao-Hong Tsai 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 Shao-Hong Tsai. Shao-Hong Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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