Can Li

10.9k citations
132 papers · 7.0k indexed · 8 hit papers · h-index 31

Impact in

Papers in

Can Li

120 papers receiving 6.9k citations

Hit Papers

Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks 2020 · 284 citations
2842017202620202023250500750

Peers

Can Li
Comparison fields: 5 of 163
  • Cellular and Molecular Neuroscience 2.5k
  • Electrical and Electronic Engineering 6.0k
  • Cognitive Neuroscience 1.0k
  • Polymers and Plastics 703
  • Hardware and Architecture 286
Replace C. Toumazou with:
C. Toumazou United Kingdom
Amine Bermak Hong Kong
Kea‐Tiong Tang Taiwan
Willy Sansen Belgium
C. Toumazou United Kingdom
Todd P. Coleman United States
Shekhar Bhansali United States
James A. Bain United States
Haruo Kobayashi Japan
Hua Wang United States
Can Li relative to C. Toumazou United Kingdom C. Toumazou's profile →
Citations per field
00.5×10.5×
C. Toumazou · 1×
Citations per year

Countries citing papers authored by Can Li

Since Specialization
Citations

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

Fields of papers citing papers by Can Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20250
4 20250
5 20242
6 20241
7 202410
8 202243
9 202226
10 20217
11 20213
12 2020124
13 202082
14
SARS-CoV-2 infects and damages the mature and immature olfactory sensory neurons of hamsters.
202018
15 201938
16 20186
17 20186
18
Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension
Hit paper breakdown →
2018429
19 2017339
20 2017190

About Can Li

Can Li is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Hardware and Architecture, Family Practice and Geriatrics and Gerontology, having authored 132 papers that have together received 7.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (63 papers), Ferroelectric and Negative Capacitance Devices (40 papers), Neuroscience and Neural Engineering (23 papers), Semiconductor materials and devices (8 papers), Neural dynamics and brain function (7 papers), Machine Learning and ELM (6 papers), Photoreceptor and optogenetics research (5 papers) and Diamond and Carbon-based Materials Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.5k citations), Electrical and Electronic Engineering (6.0k citations), Cognitive Neuroscience (1.0k citations), Polymers and Plastics (703 citations) and Hardware and Architecture (286 citations). Can Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qiangfei Xia, J. Joshua Yang, Hao Jiang, John Paul Strachan, Yunning Li, Peng Lin, Zhongrui Wang, Qing Wu, Mark Barnell and R. Stanley Williams. Their work appears in journals such as Nature Communications, Advanced Materials, IEEE Transactions on Electron Devices, Nature Electronics and Advanced Electronic Materials.

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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2026