Di Niu

167 total papers · 4.2k total citations
93 papers, 2.6k citations indexed

About

Di Niu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Di Niu has authored 93 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 35 papers in Artificial Intelligence and 28 papers in Information Systems. Recurrent topics in Di Niu's work include Caching and Content Delivery (27 papers), Peer-to-Peer Network Technologies (16 papers) and Cloud Computing and Resource Management (15 papers). Di Niu is often cited by papers focused on Caching and Content Delivery (27 papers), Peer-to-Peer Network Technologies (16 papers) and Cloud Computing and Resource Management (15 papers). Di Niu collaborates with scholars based in Canada, China and Hong Kong. Di Niu's co-authors include Baochun Li, Hao Wang, Shuqiao Zhao, Chen Feng, Yaochen Hu, Hai Jin, Peng Shu, Jie Yu, Fangming Liu and Bo Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Nature Structural & Molecular Biology.

In The Last Decade

Di Niu

85 papers receiving 2.5k citations

Hit Papers

Optimizing Federated Lear... 2020 2026 2022 2024 2020 2024 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Di Niu 1.4k 1.1k 815 372 343 93 2.6k
Laizhong Cui 1.3k 0.9× 1.6k 1.5× 774 0.9× 548 1.5× 530 1.5× 146 3.4k
Fang Liu 1.4k 1.0× 1.2k 1.1× 1.1k 1.4× 342 0.9× 374 1.1× 159 3.2k
Dongxiao Yu 1.4k 1.1× 811 0.8× 508 0.6× 701 1.9× 342 1.0× 225 2.6k
Wuhui Chen 1.8k 1.3× 769 0.7× 1.6k 1.9× 578 1.6× 348 1.0× 113 3.0k
Quan Chen 1.3k 0.9× 984 0.9× 1.1k 1.3× 327 0.9× 560 1.6× 141 2.8k
Guisheng Yin 797 0.6× 679 0.6× 584 0.7× 287 0.8× 301 0.9× 163 1.9k
Youliang Tian 1.0k 0.8× 1.1k 1.1× 1.1k 1.3× 280 0.8× 316 0.9× 145 2.3k
Lianyong Qi 594 0.4× 773 0.7× 621 0.8× 252 0.7× 324 0.9× 61 1.9k
Yuyu Yin 1.1k 0.8× 810 0.8× 1.1k 1.4× 369 1.0× 431 1.3× 117 2.5k
Jiangang Shu 620 0.5× 1.3k 1.3× 869 1.1× 279 0.8× 274 0.8× 41 2.1k

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).

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.

Co-authorship network of co-authors of Di Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Di Niu. A scholar is included among the top collaborators of Di Niu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Di Niu. Di Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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