Hao Yin

8 papers and 416 indexed citations i.

About

Hao Yin is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hao Yin has authored 8 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistical and Nonlinear Physics, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Hao Yin’s work include Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (2 papers) and Learning Styles and Cognitive Differences (1 paper). Hao Yin is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (2 papers) and Learning Styles and Cognitive Differences (1 paper). Hao Yin collaborates with scholars based in United States, China and New Zealand. Hao Yin's co-authors include Austin R. Benson, Jure Leskovec, David F. Gleich, Hao Zhang, Sannyuya Liu, Johan Ugander, Tao Huang, Yichen Chen, Yinyu Ye and Mengdi Wang and has published in prestigious journals such as Physical review. E, Electronics and Journal of Cloud Computing Advances Systems and Applications.

In The Last Decade

Co-authorship network of co-authors of Hao Yin i

Fields of papers citing papers by Hao Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hao Yin

Since Specialization
Citations

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