Hanghang Tong

196 papers and 5.2k indexed citations i.

About

Hanghang Tong is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hanghang Tong has authored 196 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Artificial Intelligence, 72 papers in Statistical and Nonlinear Physics and 49 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hanghang Tong’s work include Advanced Graph Neural Networks (75 papers), Complex Network Analysis Techniques (69 papers) and Topic Modeling (29 papers). Hanghang Tong is often cited by papers focused on Advanced Graph Neural Networks (75 papers), Complex Network Analysis Techniques (69 papers) and Topic Modeling (29 papers). Hanghang Tong collaborates with scholars based in United States, China and Australia. Hanghang Tong's co-authors include Christos Faloutsos, Jia-Yu Pan, Leman Akoglu, Danai Koutra, Si Zhang, Jiejun Xu, Ross Maciejewski, Tina Eliassi‐Rad, Xing Su and Ping Ji and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Hanghang Tong i

Fields of papers citing papers by Hanghang Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hanghang Tong

Since Specialization
Citations

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