Wei‐Yen Woon

1.5k total citations
80 papers, 1.0k citations indexed

About

Wei‐Yen Woon is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Wei‐Yen Woon has authored 80 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Materials Chemistry, 39 papers in Electrical and Electronic Engineering and 21 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Wei‐Yen Woon's work include Graphene research and applications (32 papers), Diamond and Carbon-based Materials Research (12 papers) and Semiconductor materials and devices (10 papers). Wei‐Yen Woon is often cited by papers focused on Graphene research and applications (32 papers), Diamond and Carbon-based Materials Research (12 papers) and Semiconductor materials and devices (10 papers). Wei‐Yen Woon collaborates with scholars based in Taiwan, United States and Japan. Wei‐Yen Woon's co-authors include Lin I, Ching‐Yuan Su, Hung‐Chieh Tsai, Chia‐Hao Chen, Andreas Johansson, Mika Pettersson, Pasi Myllyperkiö, Li–Chyong Chen, Kuei‐Hsien Chen and Tadesse Billo and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nano Letters.

In The Last Decade

Wei‐Yen Woon

76 papers receiving 1.0k citations

Peers

Wei‐Yen Woon
Comparison fields: 5 of 71
  • Materials Chemistry 653
  • Electrical and Electronic Engineering 422
  • Biomedical Engineering 292
  • Atomic and Molecular Physics, and Optics 151
  • Renewable Energy, Sustainability and the Environment 128
Replace С. А. Гаврилов with:
С. А. Гаврилов Russia
Roman Böttger Germany
Kai Sotthewes Netherlands
I. Costina Germany
Mattia Scardamaglia Sweden
Tarun C. Narayan United States
А. I. Medvedev Russia
R.V. Nandedkar India
Wonsuk Cha United States
J. Liu China
С. А. Гаврилов Russia View profile →
Citations per field, relative to Wei‐Yen Woon
Wei‐Yen Woon · 1×
Citations per year, relative to Wei‐Yen Woon
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Countries citing papers authored by Wei‐Yen Woon

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Yen Woon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Yen Woon. 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 Wei‐Yen Woon. The network helps show where Wei‐Yen Woon may publish in the future.

Co-authorship network of co-authors of Wei‐Yen Woon

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Yen Woon. A scholar is included among the top collaborators of Wei‐Yen Woon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei‐Yen Woon. Wei‐Yen Woon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 22
5 2
6 2
7 9
8 4
9 5
10 12
11 22
12 49
13 11
14 17
15 6
16 11
17 4
18 23
19 29
20
Spontaneous Slow Modulation of Synchronous Calcium Fluorescent Spikes in Rat Cortical Neuronal Networks
1

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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