Shih-Chun Chang

498 citations
17 papers · 316 indexed · h-index 9
Topics
Advanced Wireless Communication Techniques (16 papers)Error Correcting Code Techniques (13 papers)Cooperative Communication and Network Coding (8 papers)
Partner nations
United States

In The Last Decade

Shih-Chun Chang

16 papers receiving 293 citations

Peers

Shih-Chun Chang
Comparison fields: 5 of 22
  • Electrical and Electronic Engineering 261
  • Computer Networks and Communications 239
  • Artificial Intelligence 100
  • Computational Theory and Mathematics 37
  • Molecular Biology 28
Replace G. Poltyrev with:
G. Poltyrev Israel
Laura Luzzi France
Thomas R. Halford United States
E. van der Meulen Belgium
Shraga I. Bross Israel
A. Valembois United States
David Simplot France
Payam Pakzad Switzerland
Qiaoqiao Zhou Hong Kong
Moritz Wiese Germany
Shih-Chun Chang relative to G. Poltyrev Israel G. Poltyrev's profile →
Citations per field
00.5×2.7×
G. Poltyrev · 1×
Citations per year

Countries citing papers authored by Shih-Chun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Chun Chang. 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 Shih-Chun Chang. The network helps show where Shih-Chun Chang may publish in the future.

Co-authorship network of co-authors of Shih-Chun Chang

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 0
3 4
4 3
5 8
6 4
7 6
8 6
9 31
10 10
11 7
12 17
13 10
14 20
15 69
16 9
17 111

About Shih-Chun Chang

Shih-Chun Chang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 17 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (16 papers), Error Correcting Code Techniques (13 papers) and Cooperative Communication and Network Coding (8 papers). The work is most often cited by research in Computer Networks and Communications (239 citations), Electrical and Electronic Engineering (261 citations) and Artificial Intelligence (100 citations). Shih-Chun Chang has collaborated with scholars based in United States. Frequent co-authors include Edward Weldon, J.K. Wolf, Hatim Behairy, Qin Huang, Shu Lin and Wai Fong. Their work appears in journals such as IEEE Transactions on Information Theory, Electronics Letters and IEEE Communications Letters.

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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