Guang Yang

151 total papers · 12.6k total citations
106 papers, 9.1k citations indexed

About

Guang Yang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Guang Yang has authored 106 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Electrical and Electronic Engineering, 45 papers in Materials Chemistry and 36 papers in Polymers and Plastics. Recurrent topics in Guang Yang's work include Perovskite Materials and Applications (60 papers), Conducting polymers and applications (31 papers) and Quantum Dots Synthesis And Properties (28 papers). Guang Yang is often cited by papers focused on Perovskite Materials and Applications (60 papers), Conducting polymers and applications (31 papers) and Quantum Dots Synthesis And Properties (28 papers). Guang Yang collaborates with scholars based in China, United States and United Kingdom. Guang Yang's co-authors include Guojia Fang, Pingli Qin, Liangbin Xiong, Weijun Ke, Hongwei Lei, Hong Tao, Yanfa Yan, Xiaolu Zheng, Gang Li and Yaxiong Guo and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Guang Yang

103 papers receiving 9.0k citations

Hit Papers

Low-Temperature Solution-... 2015 2026 2018 2022 2015 2018 2016 2016 2018 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guang Yang 7.6k 5.0k 4.5k 723 532 106 9.1k
Chuanxiao Xiao 8.8k 1.2× 5.5k 1.1× 3.8k 0.9× 284 0.4× 563 1.1× 144 9.6k
Tom Baikie 7.7k 1.0× 6.2k 1.2× 2.2k 0.5× 189 0.3× 901 1.7× 66 8.5k
Xun Xiao 7.5k 1.0× 5.1k 1.0× 2.9k 0.7× 126 0.2× 564 1.1× 80 8.0k
Sandeep Pathak 11.2k 1.5× 8.1k 1.6× 4.4k 1.0× 258 0.4× 626 1.2× 76 12.3k
Steven P. Harvey 8.3k 1.1× 5.5k 1.1× 2.7k 0.6× 147 0.2× 575 1.1× 117 9.1k
S.S. Major 3.8k 0.5× 4.5k 0.9× 990 0.2× 376 0.5× 1.1k 2.0× 111 5.3k
Wei Peng 6.4k 0.8× 5.9k 1.2× 1.1k 0.2× 234 0.3× 740 1.4× 58 7.2k
Changhyun Ko 4.1k 0.5× 5.0k 1.0× 2.2k 0.5× 246 0.3× 1.6k 3.0× 78 7.6k
A. Ghosh 2.4k 0.3× 4.7k 0.9× 1.4k 0.3× 410 0.6× 1.2k 2.3× 241 6.7k
Zhenyu Yang 8.9k 1.2× 8.2k 1.6× 2.2k 0.5× 118 0.2× 430 0.8× 139 10.5k

Countries citing papers authored by Guang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Yang

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

All Works

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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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