Shi‐Chun Tsai

1.8k total citations
75 papers, 1.3k citations indexed

About

Shi‐Chun Tsai is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Shi‐Chun Tsai has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 31 papers in Artificial Intelligence and 25 papers in Computer Networks and Communications. Recurrent topics in Shi‐Chun Tsai's work include Solid State Laser Technologies (16 papers), Advanced Fiber Laser Technologies (15 papers) and Software-Defined Networks and 5G (11 papers). Shi‐Chun Tsai is often cited by papers focused on Solid State Laser Technologies (16 papers), Advanced Fiber Laser Technologies (15 papers) and Software-Defined Networks and 5G (11 papers). Shi‐Chun Tsai collaborates with scholars based in Taiwan, United States and Czechia. Shi‐Chun Tsai's co-authors include Y. F. Chen, S. C. Wang, Wen-Guey Tzeng, Yu-Pin Lan, Y.F. Chen, Yiren Chen, Torleiv Kløve, Anurag Roy, Yanshu Chen and Yi‐Bing Lin and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and Optics Letters.

In The Last Decade

Shi‐Chun Tsai

70 papers receiving 1.2k citations

Peers

Shi‐Chun Tsai
Comparison fields: 5 of 79
  • Electrical and Electronic Engineering 928
  • Atomic and Molecular Physics, and Optics 642
  • Computer Networks and Communications 301
  • Artificial Intelligence 250
  • Computational Theory and Mathematics 90
Replace Tianyi Lin with:
Tianyi Lin United States
Ajay Dholakia United States
Dawei Wang China
Takahiro Inagaki Japan
Gordon F. Hughes United States
Fabian Oboril Germany
Dragomir Milojevic Belgium
Martin Margala United States
Tong Zhang China
Tianyi Lin United States View profile →
Citations per field, relative to Shi‐Chun Tsai
Shi‐Chun Tsai · 1×
Citations per year, relative to Shi‐Chun Tsai
Shi‐Chun Tsai · 1×

Countries citing papers authored by Shi‐Chun Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Chun Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi‐Chun 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 Shi‐Chun Tsai. The network helps show where Shi‐Chun Tsai may publish in the future.

Co-authorship network of co-authors of Shi‐Chun Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Chun Tsai. A scholar is included among the top collaborators of Shi‐Chun 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 Shi‐Chun Tsai. Shi‐Chun Tsai 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
# Work Indexed citations
1 1
2 7
3
Special Issue on Pervasive Systems, Algorithms, and Networks Foreword
1
4 21
5 8
6 10
7 1
8 3
9 1
10 7
11 10
12 3
13 3
14 37
15 24
16 1
17 7
18 2
19 91
20 3

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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