Jun Ling

24 papers and 315 indexed citations i.

About

Jun Ling is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Jun Ling has authored 24 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 4 papers in Control and Systems Engineering. Recurrent topics in Jun Ling’s work include Face recognition and analysis (8 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Speech and Audio Processing (5 papers). Jun Ling is often cited by papers focused on Face recognition and analysis (8 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Speech and Audio Processing (5 papers). Jun Ling collaborates with scholars based in China, United States and Sweden. Jun Ling's co-authors include Petre Stoica, Jian Li, Li Song, Rong Xie, Xiao Gu, Lijuan Luo, Ying Yan, Shengzheng Wang, Xinqiang Chen and Yongsheng Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of the Acoustical Society of America and Journal of Magnetic Resonance.

In The Last Decade

Co-authorship network of co-authors of Jun Ling i

Fields of papers citing papers by Jun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Ling

Since Specialization
Citations

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