Xingjian Li

44 papers and 502 indexed citations i.

About

Xingjian Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Xingjian Li has authored 44 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Xingjian Li’s work include Domain Adaptation and Few-Shot Learning (13 papers), Advanced Neural Network Applications (11 papers) and Multimodal Machine Learning Applications (7 papers). Xingjian Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Advanced Neural Network Applications (11 papers) and Multimodal Machine Learning Applications (7 papers). Xingjian Li collaborates with scholars based in China, United States and Macao. Xingjian Li's co-authors include Dejing Dou, Haoyi Xiong, Cheng‐Zhong Xu, Ji Liu, Xuhong Li, Xiao Zhang, Xuanyu Wu, Jiang Bian, Humphrey Shi and Abulikemu Abuduweili and has published in prestigious journals such as ACS Nano, Water Research and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Xingjian Li i

Fields of papers citing papers by Xingjian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xingjian Li

Since Specialization
Citations

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