Chu‐Sing Yang

2.5k citations
150 papers · 1.7k indexed · h-index 22

Impact in

Papers in

Chu‐Sing Yang

134 papers receiving 1.6k citations

Peers

Chu‐Sing Yang
Comparison fields: 5 of 102
  • Computer Networks and Communications 898
  • Information Systems 399
  • Computer Vision and Pattern Recognition 301
  • Signal Processing 149
  • Artificial Intelligence 370
Replace Arif Ahmed with:
Arif Ahmed India
Xiaoqiang Ma China
William G. Hatcher United States
Shalini Batra India
Bruno Volckaert Belgium
Shusen Yang China
Dongxiao Yu China
Jianli Pan United States
Liang Huang China
Marjan Kuchaki Rafsanjani Iran
Chu‐Sing Yang relative to Arif Ahmed India Arif Ahmed's profile →
Citations per field
00.5×2.6×
Arif Ahmed · 1×
Citations per year

Countries citing papers authored by Chu‐Sing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chu‐Sing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chu‐Sing Yang. 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 Chu‐Sing Yang. The network helps show where Chu‐Sing Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Chu‐Sing Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chu‐Sing Yang Line = papers co-authored together Chu‐Sing Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 2014117
3 2017107
4 201896
5 201390
6 201769
7 201063
8 202036
9 200928
10 201427
11 201726
12 201326
13 200226
14 201525
15 201925
16 201424
17 201324
18 201424
19 200624
20 202323

About Chu‐Sing Yang

Chu‐Sing Yang is a scholar working on Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 150 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (20 papers), Metaheuristic Optimization Algorithms Research (20 papers), Energy Efficient Wireless Sensor Networks (14 papers), IoT and Edge/Fog Computing (10 papers), Advanced Optical Network Technologies (10 papers), Caching and Content Delivery (10 papers), Network Traffic and Congestion Control (9 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Computer Networks and Communications (898 citations), Information Systems (399 citations), Computer Vision and Pattern Recognition (301 citations), Signal Processing (149 citations) and Artificial Intelligence (370 citations). Chu‐Sing Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chun‐Wei Tsai, Ming‐Chao Chiang, Tien‐Wen Sung, Hsiao‐Hwa Chen, Shih‐Hsiung Lee, Chao‐Yang Lee, Weicheng Huang, Chia-Wei Hsu, Ko-Wei Huang and Ting‐Wei Hou. Their work appears in journals such as Neural Computing and Applications, Journal of Network and Computer Applications, IEEE Signal Processing Magazine, IEEE Sensors Journal and Information Sciences.

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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