Si En Ng

795 citations
15 papers · 627 indexed · 1 hit paper · h-index 13
Topics
Advanced Memory and Neural Computing (13 papers)Perovskite Materials and Applications (7 papers)Neuroscience and Neural Engineering (4 papers)
Partner nations
SingaporeHong KongIndia

In The Last Decade

Si En Ng

14 papers receiving 616 citations

Hit Papers

Halide perovskite memristors as flexible and reconfigurab...2021202620222024202150100150

Peers

Si En Ng
Comparison fields: 5 of 37
  • Electrical and Electronic Engineering 583
  • Cellular and Molecular Neuroscience 221
  • Polymers and Plastics 182
  • Materials Chemistry 103
  • Artificial Intelligence 73
Replace Takumi Mikawa with:
Takumi Mikawa Japan
Zizhen Jiang United States
Jeeson Kim South Korea
Xianhu Liang China
Zhuorui Wang China
Yu‐Chieh Chien Singapore
Jungyeop Oh South Korea
M. Bocquet France
Tiancheng Gong China
Heba Abunahla United Arab Emirates
Si En Ng relative to Takumi Mikawa Japan Takumi Mikawa's profile →
Citations per field
00.5×6.0×
Takumi Mikawa · 1×
Citations per year

Countries citing papers authored by Si En Ng

Since Specialization
Citations

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

Fields of papers citing papers by Si En Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si En Ng. 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 Si En Ng. The network helps show where Si En Ng may publish in the future.

Co-authorship network of co-authors of Si En Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Si En Ng. A scholar is included among the top collaborators of Si En Ng 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 Si En Ng. Si En Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 12
3 30
4 7
5 22
6 16
7 13
8 32
9 25
10
Halide perovskite memristors as flexible and reconfigurable physical unclonable functionsbreakdown →
198
11 142
12 42
13 12
14 63
15 13

About Si En Ng

Si En Ng is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics and Electrical and Electronic Engineering, having authored 15 papers that have together received 627 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Perovskite Materials and Applications (7 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Polymers and Plastics (182 citations), Cellular and Molecular Neuroscience (221 citations) and Hardware and Architecture (72 citations). Si En Ng has collaborated with scholars based in Singapore, Hong Kong and India. Frequent co-authors include Nripan Mathews, Rohit Abraham John, Arindam Basu, Metikoti Jagadeeswararao, Benny Febriansyah, Sujaya Kumar Vishwanath, Nimesh Shah, Chip-Hong Chang, Natalia Yantara and Ankit Ankit. Their work appears in journals such as Advanced Materials, Nature Communications and ACS Nano.

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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