Yangli‐ao Geng

29 papers and 347 indexed citations i.

About

Yangli‐ao Geng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Yangli‐ao Geng has authored 29 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Atmospheric Science. Recurrent topics in Yangli‐ao Geng’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Air Quality Monitoring and Forecasting (4 papers). Yangli‐ao Geng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Air Quality Monitoring and Forecasting (4 papers). Yangli‐ao Geng collaborates with scholars based in China, United States and Norway. Yangli‐ao Geng's co-authors include Qingyong Li, Haomin Yu, Jianzhu Wang, Jinrui Gan, Chen Huang, Ruisi He, Zhangdui Zhong, Bo Ai, Andreas F. Molisch and Weitao Lyu and has published in prestigious journals such as Nature Methods, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Yangli‐ao Geng i

Fields of papers citing papers by Yangli‐ao Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yangli‐ao Geng. 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 Yangli‐ao Geng. The network helps show where Yangli‐ao Geng may publish in the future.

Countries citing papers authored by Yangli‐ao Geng

Since Specialization
Citations

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