Liang Lin

366 papers and 13.0k indexed citations i.

About

Liang Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Liang Lin has authored 366 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 267 papers in Computer Vision and Pattern Recognition, 133 papers in Artificial Intelligence and 30 papers in Media Technology. Recurrent topics in Liang Lin’s work include Advanced Image and Video Retrieval Techniques (84 papers), Multimodal Machine Learning Applications (78 papers) and Domain Adaptation and Few-Shot Learning (67 papers). Liang Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (84 papers), Multimodal Machine Learning Applications (78 papers) and Domain Adaptation and Few-Shot Learning (67 papers). Liang Lin collaborates with scholars based in China, United States and Hong Kong. Liang Lin's co-authors include Guanbin Li, Xiaodan Liang, Wangmeng Zuo, Tianshui Chen, Keze Wang, Lei Zhang, Lingbo Liu, Guangrun Wang, Xiaohui Shen and Ruimao Zhang and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Liang Lin i

Fields of papers citing papers by Liang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liang Lin

Since Specialization
Citations

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