Pinlei Lv

530 total citations
12 papers, 466 citations indexed

About

Pinlei Lv is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Pinlei Lv has authored 12 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 5 papers in Biomedical Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Pinlei Lv's work include Gas Sensing Nanomaterials and Sensors (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and 2D Materials and Applications (3 papers). Pinlei Lv is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and 2D Materials and Applications (3 papers). Pinlei Lv collaborates with scholars based in China. Pinlei Lv's co-authors include Xiaohua Wang, Mingzhe Rong, Aijun Yang, Jifeng Chu, Dawei Wang, Liu Yang, Lei Gao, Yi Wu, Chengyu Fan and Yiyang Gao and has published in prestigious journals such as Carbon, ACS Applied Materials & Interfaces and Materials Chemistry and Physics.

In The Last Decade

Pinlei Lv

12 papers receiving 459 citations

Peers

Pinlei Lv

EEE

MC

BE

PP

EOMM

Jyoti India

Zhide Han China

Lim Kar Keng Malaysia

Madhubanti Mukherjee India

J. Nukeaw Thailand

A. V. Muhammed Ali India

Rajat Kumar India

Sang-Hun Song South Korea

Kwang Soo Yoo South Korea

Guanghui Zhan China

Jyoti India

Pinlei Lv

234 ×0.7

EEE

166 ×0.5

MC

90 ×0.7

BE

59 ×0.7

PP

48 ×0.8

EOMM

Citations per year, relative to Pinlei Lv Pinlei Lv (= 1×) peers Jyoti

Countries citing papers authored by Pinlei Lv

Since Specialization

Citations

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

Fields of papers citing papers by Pinlei Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinlei Lv

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

All Works

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12 of 12 papers shown

1.

Luo, Lei, et al.. (2024). Design and implementation of online battery monitoring and management system based on the internet of things. Frontiers in Energy Research. 12. 1 indexed citations

2.

Lv, Pinlei, Chengyu Fan, Aijun Yang, et al.. (2023). Research on vibration energy harvesting technology of power equipment based on alternating magnet array. High Voltage. 9(2). 336–345. 3 indexed citations

3.

Fan, Chengyu, Ziqiao Wang, Bingfeng Lin, et al.. (2023). A Noval Electromagnetic Generator with Spring Amplification Structure for Vibration Energy Harvesting of Power Equipment. 55. 2739–2744. 1 indexed citations

4.

Yang, Aijun, Chaoyu Wang, Jing Ma, et al.. (2021). Hybrid piezo/triboelectric nanogenerator for stray magnetic energy harvesting and self‐powered sensing applications. High Voltage. 6(6). 978–985. 16 indexed citations

5.

Lv, Pinlei, Lei Shi, Chengyu Fan, et al.. (2020). Hydrophobic Ionic Liquid Gel-Based Triboelectric Nanogenerator: Next Generation of Ultrastable, Flexible, and Transparent Power Sources for Sustainable Electronics. ACS Applied Materials & Interfaces. 12(13). 15012–15022. 64 indexed citations

6.

Lv, Pinlei & Yong Liu. (2019). Research on Agriculture-based New Media Art Creation in the Internet Context Taking the Popular Science Film "The Secrets of Fields and Balcony" as an Example. 1 indexed citations

7.

Li, Weijuan, Chunping Niu, Jifeng Chu, et al.. (2019). DFT+U study of sulfur hexafluoride decomposition components adsorbed on ceria (110) surface. Sensors and Actuators A Physical. 298. 111590–111590. 12 indexed citations

8.

Chu, Jifeng, Xiaohua Wang, Dawei Wang, et al.. (2018). Highly selective detection of sulfur hexafluoride decomposition components H2S and SOF2 employing sensors based on tin oxide modified reduced graphene oxide. Carbon. 135. 95–103. 98 indexed citations

9.

Wang, Dawei, Xiaohua Wang, Aijun Yang, et al.. (2018). A first principles theoretical study of the adsorption of SF6 decomposition gases on a cassiterite (110) surface. Materials Chemistry and Physics. 212. 453–460. 30 indexed citations

10.

Yang, Aijun, Dawei Wang, Xiaohua Wang, et al.. (2017). Phosphorene: A Promising Candidate for Highly Sensitive and Selective SF₆ Decomposition Gas Sensors. IEEE Electron Device Letters. 38(7). 963–966. 141 indexed citations

11.

Wang, Dawei, Aijun Yang, Jifeng Chu, et al.. (2017). Antimonene: A promising candidate for acetone sensors with high selectivity and sensitivity. 1–3. 6 indexed citations

12.

Wang, Dawei, Xiaohua Wang, Aijun Yang, et al.. (2017). MoTe₂: A Promising Candidate for SF₆ Decomposition Gas Sensors With High Sensitivity and Selectivity. IEEE Electron Device Letters. 39(2). 292–295. 93 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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