Di Niu

59 papers and 1.2k indexed citations i.

About

Di Niu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Di Niu has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 23 papers in Computer Networks and Communications and 15 papers in Information Systems. Recurrent topics in Di Niu’s work include Caching and Content Delivery (14 papers), Topic Modeling (8 papers) and Cooperative Communication and Network Coding (7 papers). Di Niu is often cited by papers focused on Caching and Content Delivery (14 papers), Topic Modeling (8 papers) and Cooperative Communication and Network Coding (7 papers). Di Niu collaborates with scholars based in Canada, China and Hong Kong. Di Niu's co-authors include Baochun Li, Hao Wang, Jie Yu, Bo Li, Peng Shu, Fangming Liu, Hai Jin, Hao Wang, Zongpeng Li and Linglong Kong and has published in prestigious journals such as Proceedings of the IEEE, Nature Structural & Molecular Biology and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Di Niu i

Fields of papers citing papers by Di Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Niu

Since Specialization
Citations

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