Biao Luo

6.3k citations
153 papers · 4.7k indexed · 2 hit papers · h-index 32
Topics
Adaptive Dynamic Programming Control (52 papers)Reinforcement Learning in Robotics (24 papers)Adaptive Control of Nonlinear Systems (22 papers)
Partner nations
ChinaUnited StatesQatar

In The Last Decade

Biao Luo

138 papers receiving 4.7k citations

Hit Papers

Adaptive Dynamic Programming for Control: A...201420262018202220202014100200300400

Peers

Biao Luo
Comparison fields: 5 of 152
  • Computational Theory and Mathematics 2.6k
  • Control and Systems Engineering 2.0k
  • Artificial Intelligence 1.4k
  • Electrical and Electronic Engineering 841
  • Biomedical Engineering 649
Replace Richard H. Middleton with:
Richard H. Middleton Australia
Shuo Zhang China
Mohammad H. Nadimi-Shahraki Iran
Jon Timmis United Kingdom
Leandro Nunes de Castro Brazil
Shengwu Xiong China
Dipankar Dasgupta United States
Anirban Mukhopadhyay India
Erik Cuevas Mexico
Marco H. Terra Brazil
Biao Luo relative to Richard H. Middleton Australia Richard H. Middleton's profile →
Citations per field
00.5×4.5×
Richard H. Middleton · 1×
Citations per year

Countries citing papers authored by Biao Luo

Since Specialization
Citations

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

Fields of papers citing papers by Biao Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Biao Luo. A scholar is included among the top collaborators of Biao Luo 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 Biao Luo. Biao Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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RNA-directed gene editing specifically eradicates latent and prevents new HIV-1 infectionbreakdown →
411
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Mars entry guidance law design with neural network based HJB approach
6

About Biao Luo

Biao Luo is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 153 papers that have together received 4.7k indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (52 papers), Reinforcement Learning in Robotics (24 papers) and Adaptive Control of Nonlinear Systems (22 papers). The work is most often cited by research in Computational Theory and Mathematics (2.6k citations), Control and Systems Engineering (2.0k citations) and Artificial Intelligence (1.4k citations). Biao Luo has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Derong Liu, Huai‐Ning Wu, Tingwen Huang, Shan Xue, Ding Wang, Qinglai Wei, Bo Zhao, Yin Yang, Xiong Yang and Yueheng Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development and Applied Physics Letters.

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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