Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System
- Journal
- ACS Nano
In The Last Decade
doi.org/10.1021/nn4043157 →Countries where authors are citing Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System
This map shows the geographic impact of Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System. 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 Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System more than expected).
Fields of papers citing Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System
This network shows the impact of Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System.
About Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System
This paper, published in 2013, received 560 indexed citations . Written by Ya Yang, Guang Zhu, Hulin Zhang, Jun Chen, Zong‐Hong Lin, Yuanjie Su, Peng Bai, Xiaonan Wen and Zhong Lin Wang covering the research area of Polymers and Plastics, Biomedical Engineering and Mechanical Engineering. It is primarily cited by scholars working on Biomedical Engineering (528 citations), Polymers and Plastics (351 citations) and Mechanical Engineering (248 citations). Published in ACS Nano.
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.
This paper is also available at doi.org/10.1021/nn4043157.