Yingxia Shao

48 papers and 594 indexed citations
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About

Yingxia Shao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yingxia Shao has authored 48 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Yingxia Shao’s work include Advanced Graph Neural Networks (23 papers), Graph Theory and Algorithms (14 papers) and Complex Network Analysis Techniques (9 papers). Yingxia Shao is often cited by papers focused on Advanced Graph Neural Networks (23 papers), Graph Theory and Algorithms (14 papers) and Complex Network Analysis Techniques (9 papers). Yingxia Shao collaborates with scholars based in China, Hong Kong and Switzerland. Yingxia Shao's co-authors include Bin Cui, Lei Chen, Jiawei Jiang, Wentao Zhang, Hongzhi Yin, Xupeng Miao, Yanyan Shen, Xiaofang Zhou, Shazia Sadiq and Hao Wang and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Yingxia Shao

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

Fields of papers citing papers by Yingxia Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yingxia Shao

Since Specialization
Citations

This map shows the geographic impact of Yingxia Shao'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 Yingxia Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingxia Shao 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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2026