Xing Gao

16 papers and 117 indexed citations i.

About

Xing Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Xing Gao has authored 16 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Xing Gao’s work include Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (2 papers) and Graph Labeling and Dimension Problems (2 papers). Xing Gao is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (2 papers) and Graph Labeling and Dimension Problems (2 papers). Xing Gao collaborates with scholars based in China, United States and Switzerland. Xing Gao's co-authors include Hongkai Xiong, Qingliang Niu, Asad Rehman, Chenglin Li, Pengli Li, Pascal Frossard, Wenrui Dai, Wei Dong, Yan Dong and Jiangping Qiu and has published in prestigious journals such as The Science of The Total Environment, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

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

Fields of papers citing papers by Xing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xing Gao

Since Specialization
Citations

This map shows the geographic impact of Xing 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 Xing Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing 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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2025