Shengnan Cui

797 total citations · 1 hit paper
12 papers, 658 citations indexed

About

Shengnan Cui is a scholar working on Polymers and Plastics, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Shengnan Cui has authored 12 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Polymers and Plastics, 10 papers in Biomedical Engineering and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Shengnan Cui's work include Conducting polymers and applications (10 papers), Advanced Sensor and Energy Harvesting Materials (10 papers) and Supercapacitor Materials and Fabrication (6 papers). Shengnan Cui is often cited by papers focused on Conducting polymers and applications (10 papers), Advanced Sensor and Energy Harvesting Materials (10 papers) and Supercapacitor Materials and Fabrication (6 papers). Shengnan Cui collaborates with scholars based in China, United States and Canada. Shengnan Cui's co-authors include Jie Wang, Zhong Lin Wang, Linglin Zhou, Zhihao Zhao, Shaoxin Li, Di Liu, Yikui Gao, Wei Yuan, Li Liu and Youjun Fan and has published in prestigious journals such as Advanced Materials, Nature Communications and Advanced Energy Materials.

In The Last Decade

Shengnan Cui

11 papers receiving 651 citations

Hit Papers

Standardized measurement of dielectric materials’ intrins... 2022 2026 2023 2024 2022 50 100 150

Peers

Shengnan Cui
Kyung-Sik Shin South Korea
Guanbo Min United Kingdom
Yoonsang Ra South Korea
Punnarao Manchi South Korea
Shengnan Cui
Citations per year, relative to Shengnan Cui Shengnan Cui (= 1×) peers Yuexiao Hu

Countries citing papers authored by Shengnan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Shengnan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengnan Cui

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

All Works

12 of 12 papers shown
1.
Wan, Xiang, et al.. (2025). An ion-modulated organic electrochemical synaptic transistor for efficient parallel computing and in-situ training. Organic Electronics. 143. 107253–107253. 2 indexed citations
2.
Zheng, Yan, Xiaoyan Liu, Yanhui Liu, et al.. (2024). Assessment of stress levels and reproductive condition in giant pandas: insights from hair, faecal and saliva samples. Conservation Physiology. 12(1). coae044–coae044.
3.
Cui, Shengnan, Di Liu, Peiyuan Yang, et al.. (2023). Triboelectric-material-pairs selection for direct-current triboelectric nanogenerators. Nano Energy. 112. 108509–108509. 27 indexed citations
4.
Liu, Di, Shengnan Cui, Linglin Zhou, et al.. (2023). Recent Progress of Advanced Materials for Triboelectric Nanogenerators. Small Methods. 7(10). e2300562–e2300562. 26 indexed citations
5.
Liu, Di, Linglin Zhou, Shengnan Cui, et al.. (2022). Standardized measurement of dielectric materials’ intrinsic triboelectric charge density through the suppression of air breakdown. Nature Communications. 13(1). 6019–6019. 170 indexed citations breakdown →
6.
Li, Shaoxin, Zhihao Zhao, Di Liu, et al.. (2022). A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles. Advanced Materials. 34(14). e2110363–e2110363. 81 indexed citations
7.
Liu, Nian, Di Liu, Yikui Gao, et al.. (2022). A Tuning‐Fork Triboelectric Nanogenerator with Frequency Multiplication for Efficient Mechanical Energy Harvesting. Small Methods. 6(5). e2200066–e2200066. 8 indexed citations
8.
Zhou, Linglin, Yikui Gao, Di Liu, et al.. (2021). Achieving Ultrarobust and Humidity‐Resistant Triboelectric Nanogenerator by Dual‐Capacitor Enhancement System. Advanced Energy Materials. 14(45). 66 indexed citations
9.
Cui, Shengnan, Linglin Zhou, Di Liu, et al.. (2021). Improving performance of triboelectric nanogenerators by dielectric enhancement effect. Matter. 5(1). 180–193. 99 indexed citations
10.
Yuan, Wei, Chuguo Zhang, Baofeng Zhang, et al.. (2021). Wearable, Breathable and Waterproof Triboelectric Nanogenerators for Harvesting Human Motion and Raindrop Energy. Advanced Materials Technologies. 7(6). 51 indexed citations
11.
Chen, Shengyang, Di Liu, Linglin Zhou, et al.. (2021). Improved Output Performance of Direct‐Current Triboelectric Nanogenerator through Field Enhancing Breakdown Effect. Advanced Materials Technologies. 6(9). 29 indexed citations
12.
Zhou, Linglin, Di Liu, Shaoxin Li, et al.. (2020). Rationally Designed Dual‐Mode Triboelectric Nanogenerator for Harvesting Mechanical Energy by Both Electrostatic Induction and Dielectric Breakdown Effects. Advanced Energy Materials. 10(24). 99 indexed citations

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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