Yulei Niu

24 papers and 1.1k indexed citations i.

About

Yulei Niu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Yulei Niu has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 2 papers in Mechanics of Materials. Recurrent topics in Yulei Niu’s work include Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Yulei Niu is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Yulei Niu collaborates with scholars based in China, Singapore and United States. Yulei Niu's co-authors include Hanwang Zhang, Kaihua Tang, Jianqiang Huang, Jiaxin Shi, Ji-Rong Wen, Shih‐Fu Chang, Zhiwu Lu, Xian‐Sheng Hua, Zhiwu Lu and Tao Xiang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Energies.

In The Last Decade

Co-authorship network of co-authors of Yulei Niu i

Fields of papers citing papers by Yulei Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yulei Niu

Since Specialization
Citations

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