Ling Huang

91 papers and 3.4k indexed citations i.

About

Ling Huang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ling Huang has authored 91 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 29 papers in Information Systems and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ling Huang’s work include Recommender Systems and Techniques (19 papers), Complex Network Analysis Techniques (19 papers) and Advanced Graph Neural Networks (17 papers). Ling Huang is often cited by papers focused on Recommender Systems and Techniques (19 papers), Complex Network Analysis Techniques (19 papers) and Advanced Graph Neural Networks (17 papers). Ling Huang collaborates with scholars based in China, United States and France. Ling Huang's co-authors include Chang‐Dong Wang, Anthony D. Joseph, Benjamin I. P. Rubinstein, J. D. Tygar, Michael I. Jordan, Wei Xu, David A. Patterson, Armando Fox, Blaine Nelson and Jianhuang Lai and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Access and Journal of Sound and Vibration.

In The Last Decade

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

Fields of papers citing papers by Ling Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Huang

Since Specialization
Citations

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