Shan-Hsiang Shen

787 total citations
36 papers, 521 citations indexed

About

Shan-Hsiang Shen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Shan-Hsiang Shen has authored 36 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Shan-Hsiang Shen's work include Software-Defined Networks and 5G (19 papers), Caching and Content Delivery (9 papers) and Advanced Optical Network Technologies (7 papers). Shan-Hsiang Shen is often cited by papers focused on Software-Defined Networks and 5G (19 papers), Caching and Content Delivery (9 papers) and Advanced Optical Network Technologies (7 papers). Shan-Hsiang Shen collaborates with scholars based in Taiwan, United States and France. Shan-Hsiang Shen's co-authors include Wen-Tsuen Chen, De-Nian Yang, Liang-Hao Huang, Aditya Akella, I‐Ching Hou, Jian-Jhih Kuo, King‐Jen Chang, Hao‐Chih Tai, Patricia C. Dykes and Ming‐Jer Tsai and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Intelligent Transportation Systems and Review of Scientific Instruments.

In The Last Decade

Shan-Hsiang Shen

33 papers receiving 512 citations

Peers

Shan-Hsiang Shen
Comparison fields: 5 of 71
  • Computer Networks and Communications 361
  • Electrical and Electronic Engineering 112
  • Information Systems 70
  • Oncology 60
  • Artificial Intelligence 54
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Citations per field, relative to Shan-Hsiang Shen
Shan-Hsiang Shen · 1×
Citations per year, relative to Shan-Hsiang Shen
Shan-Hsiang Shen · 1×

Countries citing papers authored by Shan-Hsiang Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shan-Hsiang Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan-Hsiang Shen. 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 Shan-Hsiang Shen. The network helps show where Shan-Hsiang Shen may publish in the future.

Co-authorship network of co-authors of Shan-Hsiang Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Shan-Hsiang Shen. A scholar is included among the top collaborators of Shan-Hsiang Shen 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 Shan-Hsiang Shen. Shan-Hsiang Shen 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 0
2 0
3 12
4 5
5 1
6 55
7 5
8 2
9 24
10 14
11 11
12 42
13 14
14 48
15 9
16 61
17 18
18 1
19 19
20 2

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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