Che‐Yu Chang

437 citations
21 papers · 350 · h-index 7

Impact in

Papers in

Che‐Yu Chang

20 papers receiving 340 citations

Peers

Che‐Yu Chang
Comparison fields: 5 of 58
  • Electrical and Electronic Engineering 243
  • Computer Networks and Communications 73
  • Materials Chemistry 143
  • Polymers and Plastics 30
  • Civil and Structural Engineering 31
Replace Leiming Yu with:
Leiming Yu China
Qizhen Li China
Yan Meng China
Zhijun Gao China
Taeyoon Kim South Korea
Chao Zheng Hong Kong
Zhijia Chen China
Kishor Kunal United States
Sreedevi K. Menon India
Che‐Yu Chang relative to Leiming Yu China Leiming Yu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Che‐Yu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Che‐Yu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che‐Yu 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 Che‐Yu Chang. The network helps show where Che‐Yu Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Che‐Yu Chang, 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 Che‐Yu Chang Line = papers co-authored together Che‐Yu Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016168
2 201556
3 202324
4 201623
5 201518
6 20209
7 20238
8 20096
9 20126
10 20245
11 20085
12 20224
13 20153
14 20053
15 20163
16 20083
17 20192
18 20231
19 20231
20 20111

About Che‐Yu Chang

Che‐Yu Chang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Molecular Biology, having authored 21 papers that have together received 350 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (5 papers), Wireless Networks and Protocols (5 papers), Advanced Wireless Network Optimization (4 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Video Coding and Compression Technologies (2 papers), Geotechnical Engineering and Underground Structures (2 papers) and Image and Video Quality Assessment (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (243 citations), Computer Networks and Communications (73 citations), Materials Chemistry (143 citations), Polymers and Plastics (30 citations) and Civil and Structural Engineering (31 citations). Che‐Yu Chang has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Der‐Jiunn Deng, Wei‐Li Hong, Yu‐Chiang Chao, Yu‐Chi Huang, Hsu‐Chun Yen, Zhichao Zhang, Xin Liu, Christina Chen, Chun‐Cheng Lin and Jia-Ruey Chang. Their work appears in journals such as Earthquake Spectra, Advanced Materials, Journal of Materials Chemistry C, Cement and Concrete Composites and BMC Bioinformatics.

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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