Tian Yun

2 papers and 16 indexed citations i.

About

Tian Yun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Tian Yun has authored 2 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Atmospheric Science. Recurrent topics in Tian Yun’s work include Meteorological Phenomena and Simulations (1 paper), Multimodal Machine Learning Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Tian Yun is often cited by papers focused on Meteorological Phenomena and Simulations (1 paper), Multimodal Machine Learning Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Tian Yun collaborates with scholars based in United States and China. Tian Yun's co-authors include Chen Sun, Ellie Pavlick and Yanbin Qi and has published in prestigious journals such as Atmosphere and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Tian Yun i

Fields of papers citing papers by Tian Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tian Yun

Since Specialization
Citations

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