Xingyi Yang

21 papers and 228 indexed citations i.

About

Xingyi Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xingyi Yang has authored 21 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xingyi Yang’s work include Domain Adaptation and Few-Shot Learning (4 papers), Topic Modeling (3 papers) and Advanced Neural Network Applications (3 papers). Xingyi Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Topic Modeling (3 papers) and Advanced Neural Network Applications (3 papers). Xingyi Yang collaborates with scholars based in China, Singapore and United States. Xingyi Yang's co-authors include Xinchao Wang, Jiashi Feng, Juan Xie, Daquan Zhou, Wei Long, Pengtao Xie, Jian Cao, Hanlin Cheng, James Cho‐Hong Goh and Rui Chen and has published in prestigious journals such as ACS Applied Materials & Interfaces, Sensors and Frontiers in Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Xingyi Yang i

Fields of papers citing papers by Xingyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xingyi Yang

Since Specialization
Citations

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