Lihe Yang

About

Lihe Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Lihe Yang has authored 9 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Aerospace Engineering. Recurrent topics in Lihe Yang’s work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Multimodal Machine Learning Applications (2 papers). Lihe Yang is often cited by papers focused on Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Multimodal Machine Learning Applications (2 papers). Lihe Yang collaborates with scholars based in China, Australia and Hong Kong. Lihe Yang's co-authors include Lei Qi, Yinghuan Shi, Yang Gao, Wei Zhuo, Litong Feng, Wei Zhang, Wei Zhuo, Xiaogang Xu, Bingyi Kang and Hengshuang Zhao and has published in prestigious journals such as IEEE Signal Processing Letters, Transactions of Tianjin University and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

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Fields of papers citing papers by Lihe Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lihe Yang

Since Specialization

Citations

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