Shaokai Ye

About

Shaokai Ye is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Shaokai Ye has authored 5 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Electrical and Electronic Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Shaokai Ye’s work include Human Pose and Action Recognition (2 papers), Advanced Wireless Communication Techniques (1 paper) and Human-Animal Interaction Studies (1 paper). Shaokai Ye is often cited by papers focused on Human Pose and Action Recognition (2 papers), Advanced Wireless Communication Techniques (1 paper) and Human-Animal Interaction Studies (1 paper). Shaokai Ye collaborates with scholars based in Switzerland, United States and China. Shaokai Ye's co-authors include Mackenzie Weygandt Mathis, Alexander Mathis, Steffen Schneider, Jessy Lauer, Tanmay Nath, Daniel Soberanes, Guoping Feng, Mu Zhou, Valentina Di Santo and William Menegas and has published in prestigious journals such as Nature Communications, Nature Methods and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Shaokai Ye

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

Fields of papers citing papers by Shaokai Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaokai Ye

Since Specialization

Citations

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