Chao-Wei Yang

437 citations
21 papers · 200 · h-index 7

Impact in

Papers in

Chao-Wei Yang

20 papers receiving 194 citations

Peers

Chao-Wei Yang
Comparison fields: 5 of 22
  • Atomic and Molecular Physics, and Optics 115
  • Artificial Intelligence 86
  • Instrumentation 8
  • Electrical and Electronic Engineering 85
  • Acoustics and Ultrasonics 1
Replace Daniel A. Vajner with:
Daniel A. Vajner Germany
Thomas Houghton United States
N. Somaschi France
Thomas Y. L. Ang Singapore
Nicholas Boynton United States
Fanfan Meng United Kingdom
Junlei Xia China
Jueming Bao China
Chaohan Cui United States
Paolo L. Mennea United Kingdom
Chao-Wei Yang relative to Daniel A. Vajner Germany Daniel A. Vajner's profile →
Citations per field
00.5×1.6×
Daniel A. Vajner · 1×
Citations per year

Countries citing papers authored by Chao-Wei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Wei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chao-Wei 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 Chao-Wei Yang Line = papers co-authored together Chao-Wei Yang 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 202244
2 202129
3 202025
4 201824
5 202420
6 201919
7 202212
8 20236
9 20236
10 20252
11 20252
12 20252
13 20252
14 20241
15 20241
16 20231
17 20231
18 20241
19 20221
20 20181

About Chao-Wei Yang

Chao-Wei Yang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Biomedical Engineering and Aerospace Engineering, having authored 21 papers that have together received 200 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Radio Frequency Integrated Circuit Design (6 papers), Quantum optics and atomic interactions (5 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Advancements in PLL and VCO Technologies (5 papers), Microwave Engineering and Waveguides (4 papers), Quantum Mechanics and Applications (3 papers) and Advanced Semiconductor Detectors and Materials (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (115 citations), Artificial Intelligence (86 citations), Instrumentation (8 citations), Electrical and Electronic Engineering (85 citations) and Acoustics and Ultrasonics (1 citation). Chao-Wei Yang has collaborated with scholars based in China, Macao and Portugal. Frequent co-authors include Xiao‐Hui Bao, Jian-Wei Pan, Jun Li, Bo Jing, Yong Yu, Yong Chen, Rui P. Martins, Pui‐In Mak, Jun Yuan and Yiyun Zhang. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Circuits and Systems I Regular Papers, International Journal of Circuit Theory and Applications, Nature Communications and Optica.

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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