Ye Gao

About

Ye Gao is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ye Gao has authored 18 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Ye Gao’s work include Energy Load and Power Forecasting (5 papers), Digital Media Forensic Detection (3 papers) and Solar Radiation and Photovoltaics (2 papers). Ye Gao is often cited by papers focused on Energy Load and Power Forecasting (5 papers), Digital Media Forensic Detection (3 papers) and Solar Radiation and Photovoltaics (2 papers). Ye Gao collaborates with scholars based in China, Finland and United States. Ye Gao's co-authors include Xifeng Guo, Yi Ning, Hui Li, Yupeng Li, Peng Wang, Yang Wang, Imari Sato, Bo Zheng, Yinqiang Zheng and Yupeng Li and has published in prestigious journals such as Applied Energy, International Journal of Computer Vision and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Ye Gao i

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Fields of papers citing papers by Ye Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ye Gao

Since Specialization

Citations

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