Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors
- Journal
- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms9632 →Countries where authors are citing Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors
This map shows the geographic impact of Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors. 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 Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors more than expected).
Fields of papers citing Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors
This network shows the impact of Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors.
About Ultrahigh sensitivity and layer-dependent sensing performance of phosphorene-based gas sensors
This paper, published in 2015, received 664 indexed citations . Written by Shumao Cui, Hongting Pu, Spencer A. Wells, Zhenhai Wen, Shun Mao, Jingbo Chang, Mark C. Hersam and Junhong Chen covering the research area of Materials Chemistry and Electrical and Electronic Engineering. It is primarily cited by scholars working on Materials Chemistry (509 citations), Electrical and Electronic Engineering (450 citations) and Biomedical Engineering (145 citations). Published in Nature Communications.
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/10.1038/ncomms9632.