Ben Niu

215 total papers · 6.6k total citations
180 papers, 4.9k citations indexed

About

Ben Niu is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Ben Niu has authored 180 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Control and Systems Engineering, 106 papers in Computer Networks and Communications and 61 papers in Computational Theory and Mathematics. Recurrent topics in Ben Niu's work include Adaptive Control of Nonlinear Systems (103 papers), Distributed Control Multi-Agent Systems (72 papers) and Adaptive Dynamic Programming Control (58 papers). Ben Niu is often cited by papers focused on Adaptive Control of Nonlinear Systems (103 papers), Distributed Control Multi-Agent Systems (72 papers) and Adaptive Dynamic Programming Control (58 papers). Ben Niu collaborates with scholars based in China, Saudi Arabia and Italy. Ben Niu's co-authors include Xudong Zhao, Huanqing Wang, Guangdeng Zong, Ding Wang, Ning Xu, Fuad E. Alsaadi, Hamid Reza Karimi, Xinjun Wang, Lu Li and Huan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Ben Niu

160 papers receiving 4.9k citations

Hit Papers

A Novel Bipartite Consens... 2022 2026 2023 2024 2022 2024 2024 2024 2024 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Ben Niu 3.9k 2.1k 1.3k 504 394 180 4.9k
Jiuxiang Dong 4.3k 1.1× 2.3k 1.1× 885 0.7× 789 1.6× 493 1.3× 229 5.2k
Hai Lin 4.4k 1.1× 2.4k 1.1× 956 0.7× 491 1.0× 345 0.9× 264 6.5k
Yingnan Pan 4.0k 1.0× 2.7k 1.3× 1.1k 0.9× 875 1.7× 393 1.0× 126 5.1k
Ning Xu 2.5k 0.6× 1.8k 0.8× 1.0k 0.8× 666 1.3× 631 1.6× 153 4.3k
Geir E. Dullerud 3.1k 0.8× 1.3k 0.6× 693 0.5× 541 1.1× 575 1.5× 175 4.5k
Shuping He 3.7k 0.9× 1.8k 0.9× 828 0.6× 899 1.8× 520 1.3× 217 5.1k
Yuan‐Xin Li 4.1k 1.1× 2.0k 1.0× 1.5k 1.2× 415 0.8× 418 1.1× 175 5.3k
Jie Huang 4.9k 1.3× 5.1k 2.4× 1.1k 0.8× 630 1.3× 443 1.1× 299 7.6k
Zhiqiang Zuo 3.3k 0.8× 2.3k 1.1× 407 0.3× 458 0.9× 553 1.4× 305 4.8k
Chao Deng 4.1k 1.1× 3.4k 1.6× 721 0.6× 391 0.8× 1.1k 2.8× 164 5.6k

Countries citing papers authored by Ben Niu

Since Specialization
Citations

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

Fields of papers citing papers by Ben Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Niu. A scholar is included among the top collaborators of Ben 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 Ben Niu. Ben 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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