Cihui Yang

760 citations
35 papers · 579 · h-index 13

Impact in

Papers in

Cihui Yang

34 papers receiving 561 citations

Peers

Cihui Yang
Comparison fields: 5 of 66
  • Neurology 79
  • Computer Vision and Pattern Recognition 193
  • Media Technology 63
  • Polymers and Plastics 66
  • Electrical and Electronic Engineering 246
Replace Yi-Chun Shih with:
Yi-Chun Shih Taiwan
Jiawei Xu China
Yongsu Lee South Korea
Pallab K. Choudhury Bangladesh
Yu-Der Chih Taiwan
Tsung-Yung Jonathan Chang Taiwan
Indranil Chakraborty United States
Tzu-Hsiang Hsu Taiwan
Jaehoon Lee South Korea
Wooseok Yi South Korea
Cihui Yang relative to Yi-Chun Shih Taiwan Yi-Chun Shih's profile →
Citations per field
00.5×9.9×
Yi-Chun Shih · 1×
Citations per year

Countries citing papers authored by Cihui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Cihui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201569
2 201069
3 201559
4 201756
5 202252
6 202241
7 202237
8 201825
9 202224
10 201417
11 201516
12 201412
13 201612
14 20139
15 20148
16 20167
17 20127
18 20157
19 20186
20 20196

About Cihui Yang

Cihui Yang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Computer Vision and Pattern Recognition, Media Technology and Polymers and Plastics, having authored 35 papers that have together received 579 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Phase-change materials and chalcogenides (15 papers), Transition Metal Oxide Nanomaterials (4 papers), Handwritten Text Recognition Techniques (4 papers), Semiconductor materials and devices (4 papers), Advanced Image Fusion Techniques (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Neurology (79 citations), Computer Vision and Pattern Recognition (193 citations), Media Technology (63 citations), Polymers and Plastics (66 citations) and Electrical and Electronic Engineering (246 citations). Cihui Yang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Lei Wang, Jing Wen, Shan Gai, Hong Liu, Enmin Song, Richard Green, Boyu Zhang, Xixi Wang, Mustafa M. Aziz and C. David Wright. Their work appears in journals such as Digital Signal Processing, Applied Physics Express, Nanotechnology Reviews, IEEE Transactions on Nanotechnology and Materials 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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