High-efficiency dye-sensitized solar cell with a novel co-adsorbent
- Journal
- Energy & Environmental Science
In The Last Decade
doi.org/10.1039/c2ee03418b →Countries where authors are citing High-efficiency dye-sensitized solar cell with a novel co-adsorbent
This map shows the geographic impact of High-efficiency dye-sensitized solar cell with a novel co-adsorbent. 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 High-efficiency dye-sensitized solar cell with a novel co-adsorbent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites High-efficiency dye-sensitized solar cell with a novel co-adsorbent more than expected).
Fields of papers citing High-efficiency dye-sensitized solar cell with a novel co-adsorbent
This network shows the impact of High-efficiency dye-sensitized solar cell with a novel co-adsorbent. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the High-efficiency dye-sensitized solar cell with a novel co-adsorbent.
About High-efficiency dye-sensitized solar cell with a novel co-adsorbent
This paper, published in 2012, received 647 indexed citations . Written by Liyuan Han, Ashraful Islam, Han Chen, Barreddi Chiranjeevi, Shufang Zhang, Xudong Yang and Masatoshi Yanagida covering the research area of Renewable Energy, Sustainability and the Environment and Materials Chemistry. It is primarily cited by scholars working on Renewable Energy, Sustainability and the Environment (588 citations), Materials Chemistry (468 citations) and Electrical and Electronic Engineering (120 citations). Published in Energy & Environmental Science.
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/10.1039/c2ee03418b.