Soon-Fatt Yoon

580 citations
25 papers · 459 · h-index 9

Impact in

Papers in

Soon-Fatt Yoon

24 papers receiving 434 citations

Peers

Soon-Fatt Yoon
Comparison fields: 5 of 23
  • Instrumentation 38
  • Electrical and Electronic Engineering 434
  • Atomic and Molecular Physics, and Optics 209
  • Biomedical Engineering 97
  • Biophysics 5
Replace Patrick S. Goley with:
Patrick S. Goley United States
M.B. Fisher United States
Arsenty Kaganskiy Germany
M. Morse United States
Simone Šuran Brunelli United States
Sascha Kolatschek Germany
Pengfei Cai China
Jean Michel Hartmann France
M. Jutzi Germany
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Citations per field
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Citations per year

Countries citing papers authored by Soon-Fatt Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Soon-Fatt Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon-Fatt Yoon. 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 Soon-Fatt Yoon. The network helps show where Soon-Fatt Yoon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201787
2 201576
3 201454
4 201746
5 201840
6 201535
7 201632
8 201513
9 202111
10 20168
11 20158
12 20236
13 20146
14 20175
15 20165
16 20175
17 20155
18 20214
19 20224
20 20253

About Soon-Fatt Yoon

Soon-Fatt Yoon is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Instrumentation and Artificial Intelligence, having authored 25 papers that have together received 459 indexed citations. Recurring topics across this work include Photonic and Optical Devices (15 papers), Semiconductor Quantum Structures and Devices (10 papers), Nanowire Synthesis and Applications (9 papers), Advanced Optical Sensing Technologies (8 papers), Semiconductor Lasers and Optical Devices (4 papers), Advanced Semiconductor Detectors and Materials (3 papers), Thin-Film Transistor Technologies (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Instrumentation (38 citations), Electrical and Electronic Engineering (434 citations), Atomic and Molecular Physics, and Optics (209 citations), Biomedical Engineering (97 citations) and Biophysics (5 citations). Soon-Fatt Yoon has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Xiao Gong, Yee‐Chia Yeo, Yuan Dong, Dian Lei, Wei Wang, Gengchiau Liang, Wan Khai Loke, Qian Zhou, Shengqiang Xu and Hong Wang. Their work appears in journals such as Optics Express, IEEE Transactions on Electron Devices, Nature Communications, Semiconductor Science and Technology and Quantum Science and Technology.

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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