Sity Lam

1.1k citations
21 papers · 895 indexed · 1 hit paper · h-index 11

Sity Lam

21 papers receiving 878 citations

Hit Papers

Dot-product engine for neuromorphic computing5222016202620192022100200300400500

Peers

Sity Lam
Comparison fields: 5 of 42
  • Electrical and Electronic Engineering 801
  • Cellular and Molecular Neuroscience 215
  • Hardware and Architecture 43
  • Polymers and Plastics 82
  • Artificial Intelligence 167
Replace Weier Wan with:
Weier Wan United States
Yimao Cai China
Indranil Chakraborty United States
Massimo Giordano United States
Dabin Wu China
Alessandro Grossi Italy
Takumi Mikawa Japan
Jianguo Yang China
Riduan Khaddam-Aljameh Switzerland
Sourav Dutta United States
Sity Lam relative to Weier Wan United States Weier Wan's profile →
Citations per field
00.5×10.8×
Weier Wan · 1×
Citations per year

Countries citing papers authored by Sity Lam

Since Specialization
Citations

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

Fields of papers citing papers by Sity Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sity Lam. 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 Sity Lam. The network helps show where Sity Lam may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201938
2 201986
3 20187
4 201810
5 201736
6
Dot-product engine for neuromorphic computingbreakdown →
2016522
7 201536
8 20124
9 201214
10 201211
11 20128
12
Development of novel electronic inks for print-like color reflective display
20112
13 201034
14 201012
15 200916
16 20091
17 200733
18 20067
19 200310
20 20022

About Sity Lam

Sity Lam is a scholar working on Structural Biology, Hardware and Architecture, Polymers and Plastics, Electrical and Electronic Engineering and Media Technology, having authored 21 papers that have together received 895 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Conducting polymers and applications (5 papers), Organic Light-Emitting Diodes Research (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Organic Electronics and Photovoltaics (4 papers), Neuroscience and Neural Engineering (4 papers), Quantum Dots Synthesis And Properties (3 papers) and Network Packet Processing and Optimization (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (801 citations), Cellular and Molecular Neuroscience (215 citations), Hardware and Architecture (43 citations), Polymers and Plastics (82 citations) and Artificial Intelligence (167 citations). Sity Lam has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Catherine E. Graves, John Paul Strachan, Noraica Dávila, R. Stanley Williams, Miao Hu, Ning Ge, Zhiyong Li, J. Joshua Yang, Xia Sheng and Zhang‐Lin Zhou. Their work appears in journals such as Applied Physics Letters, Advanced Electronic Materials, Macromolecules, Journal of the Society for Information Display and Solid State Communications.

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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