Shang‐Juh Kao

45 papers receiving 268 citations

Peers

Shang‐Juh Kao
Comparison fields: 5 of 34
  • Computer Networks and Communications 160
  • Electrical and Electronic Engineering 119
  • Computer Vision and Pattern Recognition 93
  • Artificial Intelligence 64
  • Information Systems 28
Replace Siqi Liu with:
Siqi Liu China
Jiangping Han China
Emmanuel Lochin France
Sajad Shirali-Shahreza Canada
Leon Wong Japan
Zinan Lin United States
Subarna Chatterjee United States
Stéphane Ubéda France
Shang‐Juh Kao relative to Siqi Liu China Siqi Liu's profile →
Citations per field
00.5×10×17×
Siqi Liu · 1×
Citations per year

Countries citing papers authored by Shang‐Juh Kao

Since Specialization
Citations

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

Fields of papers citing papers by Shang‐Juh Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang‐Juh Kao. 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 Shang‐Juh Kao. The network helps show where Shang‐Juh Kao may publish in the future.

Co-authorship network of co-authors of Shang‐Juh Kao

This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Juh Kao. A scholar is included among the top collaborators of Shang‐Juh Kao 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 Shang‐Juh Kao. Shang‐Juh Kao 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
#WorkIndexed citations
1 5
2 1
3 16
4 1
5 1
6 4
7 1
8 1
9 6
10 1
11 0
12
Adopting SCTP and MPLS-TE mechanism in VoIP architecture for fault recovery and resource allocation
2
13
XLCMS — a scalable and distributive linux virtual cluster management system
0
14
Performance analysis for unsolicited grant service in 802.16 networks using a discrete-time model
1
15 4
16
Adaptive access points selection for 802.11 wireless networks
4
17 3
18 0
19 11
20 1

About Shang‐Juh Kao

Shang‐Juh Kao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture, having authored 51 papers that have together received 286 indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (17 papers), Advanced MIMO Systems Optimization (15 papers) and IPv6, Mobility, Handover, Networks, Security (8 papers). The work is most often cited by research in Computer Networks and Communications (160 citations), Computer Vision and Pattern Recognition (93 citations) and Electrical and Electronic Engineering (119 citations). Shang‐Juh Kao has collaborated with scholars based in Taiwan and Japan. Frequent co-authors include Min‐Shiang Hwang, Chia‐Chun Wu, Fu‐Min Chang, I‐Ching Hsu, Kaiyu Wang, Wen‐Chung Kuo, Hsueh‐Wen Tseng, Chin-Shiang Tsai, Ya‐Ling Huang and Yu‐Hao Lin. Their work appears in journals such as Computers & Mathematics with Applications, Journal of Systems and Software and Computer Communications.

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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