Lin Shao

498 total citations
14 papers, 416 citations indexed

About

Lin Shao is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Lin Shao has authored 14 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Polymers and Plastics. Recurrent topics in Lin Shao's work include Advanced Memory and Neural Computing (11 papers), Neuroscience and Neural Engineering (6 papers) and Photoreceptor and optogenetics research (4 papers). Lin Shao is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Neuroscience and Neural Engineering (6 papers) and Photoreceptor and optogenetics research (4 papers). Lin Shao collaborates with scholars based in China, United States and Croatia. Lin Shao's co-authors include Yan Zhao, Yunqi Liu, Jianwen Zhao, Zheng Cui, Manman Luo, Shuangshuang Shao, Kun Liang, Xinzhao Xu, Hua Wang and Miaomiao Wei and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nano Letters.

In The Last Decade

Lin Shao

13 papers receiving 406 citations

Peers

Lin Shao
Chuanyu Fu China
Shenming Huang China
Dong Gue Roe South Korea
Meiyu He China
Chenxing Jin China
Yulong Huang China
Mengge Yan China
Gang Shang China
Chanho Jo South Korea
Minghui Cao China
Chuanyu Fu China
Lin Shao
Citations per year, relative to Lin Shao Lin Shao (= 1×) peers Chuanyu Fu

Countries citing papers authored by Lin Shao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Shao

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

All Works

14 of 14 papers shown
1.
Zhou, Qing, Xinzhao Xu, Wenhao Li, et al.. (2025). Biomimetic fibrous semiconducting micromesh via tuning phase separation for high-performance stretchable optoelectronic synapses. Nature Communications. 16(1). 8483–8483.
2.
3.
Luo, Shi, Lin Shao, Daizong Ji, et al.. (2023). Highly Bionic Neurotransmitter-Communicated Neurons Following Integrate-and-Fire Dynamics. Nano Letters. 23(11). 4974–4982. 10 indexed citations
4.
Xu, Xinzhao, Haoqin Zhang, Lin Shao, et al.. (2023). An Aqueous Electrolyte Gated Artificial Synapse with Synaptic Plasticity Selectively Mediated by Biomolecules. Angewandte Chemie International Edition. 62(29). e202302723–e202302723. 24 indexed citations
5.
Shao, Lin, Xinzhao Xu, Yunqi Liu, & Yan Zhao. (2023). Adaptive Memory of a Neuromorphic Transistor with Multi-Sensory Signal Fusion. ACS Applied Materials & Interfaces. 15(29). 35272–35279. 16 indexed citations
6.
Yan, Yongkun, Yangjiang Wu, Lin Shao, et al.. (2022). An OFET‐Based Involutive Logic Circuit with Wide‐Range Threshold Shift Compensability. Advanced Electronic Materials. 8(10). 2 indexed citations
7.
Shao, Lin, Shi Luo, Zhihui Wang, et al.. (2022). A flexible biohybrid reflex arc mimicking neurotransmitter transmission. Cell Reports Physical Science. 3(7). 100962–100962. 11 indexed citations
8.
Li, Min, Ziyu Xiong, Shuangshuang Shao, et al.. (2021). Multimodal optoelectronic neuromorphic electronics based on lead-free perovskite-mixed carbon nanotubes. Carbon. 176. 592–601. 45 indexed citations
9.
Shao, Lin, Yan Zhao, & Yunqi Liu. (2021). Organic Synaptic Transistors: The Evolutionary Path from Memory Cells to the Application of Artificial Neural Networks. Advanced Functional Materials. 31(28). 114 indexed citations
10.
Shao, Lin, Min Li, Peisong Wu, et al.. (2020). Optically and electrically modulated printed carbon nanotube synaptic transistors with a single input terminal and multi-functional output characteristics. Journal of Materials Chemistry C. 8(20). 6914–6922. 13 indexed citations
11.
Robin, Malo, Jianwen Zhao, Lin Shao, et al.. (2019). Polarity tuning of carbon nanotube transistors by chemical doping for printed flexible complementary metal-oxide semiconductor (CMOS)-like inverters. Carbon. 147. 566–573. 25 indexed citations
12.
Shao, Lin, Hailu Wang, Yi Yang, et al.. (2019). Optoelectronic Properties of Printed Photogating Carbon Nanotube Thin Film Transistors and Their Application for Light-Stimulated Neuromorphic Devices. ACS Applied Materials & Interfaces. 11(12). 12161–12169. 92 indexed citations
13.
Liang, Kun, Shuangshuang Shao, Manman Luo, et al.. (2019). High-performance metal-oxide thin-film transistors based on inkjet-printed self-confined bilayer heterojunction channels. Journal of Materials Chemistry C. 7(20). 6169–6177. 40 indexed citations
14.

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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