Mao Yang

20 papers and 254 indexed citations i.

About

Mao Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Energy Engineering and Power Technology. According to data from OpenAlex, Mao Yang has authored 20 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 7 papers in Artificial Intelligence and 5 papers in Energy Engineering and Power Technology. Recurrent topics in Mao Yang’s work include Energy Load and Power Forecasting (17 papers), Solar Radiation and Photovoltaics (7 papers) and Electric Power System Optimization (6 papers). Mao Yang is often cited by papers focused on Energy Load and Power Forecasting (17 papers), Solar Radiation and Photovoltaics (7 papers) and Electric Power System Optimization (6 papers). Mao Yang collaborates with scholars based in China, Italy and United Kingdom. Mao Yang's co-authors include Gangui Yan, Yang Cui, Yulin Chen, Yi Zhou, Fulin Fan, Xin Su, Yong Sun, Baoju Li, Zhenyuan Li and Bo Wang and has published in prestigious journals such as Applied Energy, Energy and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Mao Yang i

Fields of papers citing papers by Mao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mao Yang

Since Specialization
Citations

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

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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