Longjun Liu

About

Longjun Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Longjun Liu has authored 42 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Networks and Communications and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Longjun Liu’s work include Advanced Neural Network Applications (13 papers), Cloud Computing and Resource Management (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Longjun Liu is often cited by papers focused on Advanced Neural Network Applications (13 papers), Cloud Computing and Resource Management (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Longjun Liu collaborates with scholars based in China, United States and Poland. Longjun Liu's co-authors include Nanning Zheng, Hongbin Sun, Chao Li, Tao Li, Yang Hu, Jingmin Xin, Hang Wang, Juncheng Gu, Zhenggang Wu and Yi Ma and has published in prestigious journals such as Sensors, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Longjun Liu i

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Fields of papers citing papers by Longjun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Longjun Liu

Since Specialization

Citations

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