Qingjuan Li

11 papers and 328 indexed citations i.

About

Qingjuan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Qingjuan Li has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Qingjuan Li’s work include Context-Aware Activity Recognition Systems (5 papers), IoT and Edge/Fog Computing (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Qingjuan Li is often cited by papers focused on Context-Aware Activity Recognition Systems (5 papers), IoT and Edge/Fog Computing (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Qingjuan Li collaborates with scholars based in China, United Kingdom and Ireland. Qingjuan Li's co-authors include Huansheng Ning, Fadi Farha, Yueliang Wan, Xu Yang, Tao Zhang, Tao Zhu, Feifei Shi, Liming Chen, Jinglei Zhang and Rui Wang and has published in prestigious journals such as Sensors, IEEE Internet of Things Journal and Future Generation Computer Systems.

In The Last Decade

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

Fields of papers citing papers by Qingjuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qingjuan Li

Since Specialization
Citations

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

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2025