Dian Shao

About

Dian Shao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Dian Shao has authored 10 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Cognitive Neuroscience. Recurrent topics in Dian Shao’s work include Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (2 papers). Dian Shao is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (2 papers). Dian Shao collaborates with scholars based in China and Hong Kong. Dian Shao's co-authors include Yue Zhao, Dahua Lin, Bo Dai, Hao-Shu Fang, Yichen Xie, Cewu Lu, Shan Gao, Meng Sha, Bowen Ji and Chang Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems and Micromachines.

In The Last Decade

Co-authorship network of co-authors of Dian Shao i

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Fields of papers citing papers by Dian Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dian Shao

Since Specialization

Citations

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