Changlin Li

25 papers and 345 indexed citations i.

About

Changlin Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Changlin Li has authored 25 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Changlin Li’s work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (7 papers) and Advanced Image Processing Techniques (5 papers). Changlin Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (7 papers) and Advanced Image Processing Techniques (5 papers). Changlin Li collaborates with scholars based in China, Australia and United Kingdom. Changlin Li's co-authors include Sijie Zhu, Chen Chen, Shanyue Guan, Taojiannan Yang, Xiaodan Liang, Xiaojun Chang, Guangrun Wang, Zhihui Li, Bing Wang and Xin Tao and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Changlin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Changlin Li

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025