Ling Jiang

9 papers and 201 indexed citations i.

About

Ling Jiang is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Ling Jiang has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Ling Jiang’s work include Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (3 papers) and Recommender Systems and Techniques (3 papers). Ling Jiang is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (3 papers) and Recommender Systems and Techniques (3 papers). Ling Jiang collaborates with scholars based in United States and China. Ling Jiang's co-authors include Christopher C. Yang, Haodong Yang, Haibo Wang, Kar‐Hai Chu, Jon-Patrick Allem, Jennifer B. Unger, Monica Pattarroyo, Daniel W. Soto, Tess Boley Cruz and Ling Xing and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Artificial Intelligence in Medicine.

In The Last Decade

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

Fields of papers citing papers by Ling Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Jiang

Since Specialization
Citations

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