S. Y. H. Lua

454 citations
21 papers · 372 · h-index 10

Impact in

Papers in

S. Y. H. Lua

21 papers receiving 365 citations

Peers

S. Y. H. Lua
Comparison fields: 5 of 27
  • Atomic and Molecular Physics, and Optics 311
  • Electronic, Optical and Magnetic Materials 173
  • Condensed Matter Physics 62
  • Electrical and Electronic Engineering 151
  • Materials Chemistry 98
Replace J.-G. Zhu with:
J.-G. Zhu United States
Dongna Shen
Renren He
Jesmin Haq
Ru-Ying Tong United States
W. Kim Belgium
Zheng Gao United States
J. Calder United States
Kuei‐Hung Shen Taiwan
Ao Du China
S. Y. H. Lua relative to J.-G. Zhu United States J.-G. Zhu's profile →
Citations per field
00.5×4.7×
J.-G. Zhu · 1×
Citations per year

Countries citing papers authored by S. Y. H. Lua

Since Specialization
Citations

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

Fields of papers citing papers by S. Y. H. Lua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Y. H. Lua. 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 S. Y. H. Lua. The network helps show where S. Y. H. Lua may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Y. H. Lua, 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 S. Y. H. Lua Line = papers co-authored together S. Y. H. Lua 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 201184
2 201170
3 201143
4 201129
5 201825
6 201124
7 200813
8 201812
9 201111
10 201810
11 20209
12 20118
13 20168
14 20125
15 20154
16 20104
17 20204
18 20093
19 20113
20 20112

About S. Y. H. Lua

S. Y. H. Lua is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Biomedical Engineering, having authored 21 papers that have together received 372 indexed citations. Recurring topics across this work include Magnetic properties of thin films (20 papers), Advanced Memory and Neural Computing (8 papers), Magnetic Properties and Applications (7 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Physics of Superconductivity and Magnetism (5 papers), Characterization and Applications of Magnetic Nanoparticles (5 papers), ZnO doping and properties (1 paper) and Theoretical and Computational Physics (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (311 citations), Electronic, Optical and Magnetic Materials (173 citations), Condensed Matter Physics (62 citations), Electrical and Electronic Engineering (151 citations) and Materials Chemistry (98 citations). S. Y. H. Lua has collaborated with scholars based in Singapore and United States. Frequent co-authors include R. Sbiaa, Hao Meng, Hang Khume Tan, Randall Law, Chun-Huat Heng, R. G. Lye, T. Tahmasebi, S. N. Piramanayagam, Eng Leong Tan and Tow Chong Chong. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Magnetics, IEEE Transactions on Nanotechnology, Applied Physics Letters and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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