Shilei Dai

4.6k total citations · 2 hit papers
55 papers, 3.9k citations indexed

About

Shilei Dai is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Shilei Dai has authored 55 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 24 papers in Cellular and Molecular Neuroscience and 19 papers in Polymers and Plastics. Recurrent topics in Shilei Dai's work include Advanced Memory and Neural Computing (37 papers), Photoreceptor and optogenetics research (18 papers) and Conducting polymers and applications (18 papers). Shilei Dai is often cited by papers focused on Advanced Memory and Neural Computing (37 papers), Photoreceptor and optogenetics research (18 papers) and Conducting polymers and applications (18 papers). Shilei Dai collaborates with scholars based in China, United States and Hong Kong. Shilei Dai's co-authors include Jia Huang, Junyao Zhang, Yiwei Zhao, Yan Wang, Dapeng Liu, Lu Fang, Ben Yang, Shu Jin, Dandan Hao and Kai Wang and has published in prestigious journals such as Science, Advanced Materials and Nature Communications.

In The Last Decade

Shilei Dai

51 papers receiving 3.8k citations

Hit Papers

Recent Advances in Transistor‐Based Artificial Synapses 2019 2026 2021 2023 2019 2021 100 200 300 400 500

Peers

Shilei Dai
Comparison fields: 5 of 86
  • Electrical and Electronic Engineering 3.2k
  • Cellular and Molecular Neuroscience 1.4k
  • Polymers and Plastics 1.3k
  • Biomedical Engineering 1.1k
  • Artificial Intelligence 619
Replace Sapan Agarwal with:
Sapan Agarwal United States
Enlong Li China
Elliot J. Fuller United States
Li Qiang Zhu China
Yanghui Liu China
Jiewei Chen Hong Kong
Feichi Zhou China
Haifeng Ling China
Paschalis Gkoupidenis Germany
Guangdong Zhou China
Sapan Agarwal United States View profile →
Citations per field, relative to Shilei Dai
Shilei Dai · 1×
Citations per year, relative to Shilei Dai
Shilei Dai · 1×

Countries citing papers authored by Shilei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shilei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shilei Dai. A scholar is included among the top collaborators of Shilei Dai 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 Shilei Dai. Shilei Dai 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 1
2 0
3 0
4 56
5 6
6 45
7 0
8 22
9 17
10 22
11 103
12 17
13 40
14 15
15
A stretchable and strain-unperturbed pressure sensor for motion interference–free tactile monitoring on skins breakdown →
286
16 18
17 74
18 204
19 28
20 144

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