Long Lan

100 papers and 717 indexed citations i.

About

Long Lan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Long Lan has authored 100 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Long Lan’s work include Video Surveillance and Tracking Methods (30 papers), Domain Adaptation and Few-Shot Learning (21 papers) and Multimodal Machine Learning Applications (17 papers). Long Lan is often cited by papers focused on Video Surveillance and Tracking Methods (30 papers), Domain Adaptation and Few-Shot Learning (21 papers) and Multimodal Machine Learning Applications (17 papers). Long Lan collaborates with scholars based in China, Australia and Hong Kong. Long Lan's co-authors include Xiang Zhang, Zhigang Luo, Dacheng Tao, Xinchao Wang, Thomas S. Huang, Maolin Yu, Haihu Tan, Yutong Zhang, Jianxiong Xu and Lijian Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nano Energy and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Long Lan i

Fields of papers citing papers by Long Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Lan

Since Specialization
Citations

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