Lay‐Lay Chua

3.7k citations
61 papers · 3.2k indexed · 1 hit paper · h-index 26

Lay‐Lay Chua

60 papers receiving 3.2k citations

Hit Papers

Giant broadband nonlinear optical absorption response in ...4122011202620162021100200300400

Peers

Lay‐Lay Chua
Comparison fields: 5 of 73
  • Polymers and Plastics 1.3k
  • Electrical and Electronic Engineering 2.3k
  • Materials Chemistry 1.1k
  • Biomedical Engineering 1.0k
  • Bioengineering 97
Replace А. Н. Алешин with:
А. Н. Алешин Russia
Yugeng Wen China
W. Osikowicz Sweden
M. Reyes‐Reyes Mexico
S. Haas Switzerland
Boseok Kang South Korea
Deyang Ji China
Hoyoul Kong South Korea
Wanzhu Cai China
Qingshuo Wei Japan
Lay‐Lay Chua relative to А. Н. Алешин Russia А. Н. Алешин's profile →
Citations per field
00.5×
А. Н. Алешин · 1×
Citations per year

Countries citing papers authored by Lay‐Lay Chua

Since Specialization
Citations

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

Fields of papers citing papers by Lay‐Lay Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lay‐Lay Chua. 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 Lay‐Lay Chua. The network helps show where Lay‐Lay Chua may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20244
3 20242
4 20239
5 202135
6 201960
7 201914
8 201670
9 2016207
10 2013250
11 201288
12 200934
13 200940
14 200981
15 2009236
16 200822
17 20089
18 200845
19 2006150
20 200527

About Lay‐Lay Chua

Lay‐Lay Chua is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Surfaces, Coatings and Films, Bioengineering and Atomic and Molecular Physics, and Optics, having authored 61 papers that have together received 3.2k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (41 papers), Conducting polymers and applications (31 papers), Organic Light-Emitting Diodes Research (19 papers), Molecular Junctions and Nanostructures (15 papers), Graphene research and applications (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Semiconductor materials and devices (5 papers) and Thin-Film Transistor Technologies (4 papers). The work is most often cited by research in Polymers and Plastics (1.3k citations), Electrical and Electronic Engineering (2.3k citations), Materials Chemistry (1.1k citations), Biomedical Engineering (1.0k citations) and Bioengineering (97 citations). Lay‐Lay Chua has collaborated with scholars based in Singapore, United Kingdom and Germany. Frequent co-authors include Peter K. H. Ho, Richard H. Friend, Rui‐Qi Png, Sankaran Sivaramakrishnan, Perq‐Jon Chia, Henning Sirringhaus, Roland Goh, Andrew T. S. Wee, Jing‐Mei Zhuo and Cindy G. Tang. Their work appears in journals such as Applied Physics Letters, Nature Communications, Advanced Materials, Advanced Functional Materials and Materials Horizons.

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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