Qingqing Long

About

Qingqing Long is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qingqing Long has authored 16 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qingqing Long’s work include Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (6 papers) and Recommender Systems and Techniques (3 papers). Qingqing Long is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (6 papers) and Recommender Systems and Techniques (3 papers). Qingqing Long collaborates with scholars based in China, Hong Kong and United States. Qingqing Long's co-authors include Guojie Song, Yilun Jin, Wei Lin, Yifan Wang, Wei Ju, Xiao Luo, Ming Zhang, Jianhao Shen, Yiyang Gu and Jingyang Yuan and has published in prestigious journals such as Nature Communications, Neural Networks and Current Molecular Medicine.

In The Last Decade

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

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Fields of papers citing papers by Qingqing Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qingqing Long

Since Specialization

Citations

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