Guannan Qu

77 total papers · 1.7k total citations
36 papers, 930 citations indexed

About

Guannan Qu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Guannan Qu has authored 36 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 13 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Guannan Qu's work include Smart Grid Energy Management (11 papers), Microgrid Control and Optimization (11 papers) and Optimal Power Flow Distribution (11 papers). Guannan Qu is often cited by papers focused on Smart Grid Energy Management (11 papers), Microgrid Control and Optimization (11 papers) and Optimal Power Flow Distribution (11 papers). Guannan Qu collaborates with scholars based in United States, China and Sweden. Guannan Qu's co-authors include Na Li, Steven H. Low, Yujie Tang, Xin Chen, Munther A. Dahleh, Danny H. K. Tsang, Bo Sun, Xiaoqi Tan, Sindri Magnússon and Yingying Li and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Power Systems.

In The Last Decade

Guannan Qu

33 papers receiving 898 citations

Hit Papers

Reinforcement Learning fo... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Guannan Qu 655 455 183 147 119 36 930
Matthias Stifter 780 1.2× 640 1.4× 103 0.6× 89 0.6× 51 0.4× 49 1.2k
Wei‐Yu Chiu 720 1.1× 262 0.6× 229 1.3× 42 0.3× 82 0.7× 61 996
Friederich Kupzog 925 1.4× 845 1.9× 159 0.9× 38 0.3× 55 0.5× 84 1.2k
Giulio Binetti 592 0.9× 345 0.8× 201 1.1× 146 1.0× 63 0.5× 23 927
Lokesh Kumar Panwar 649 1.0× 225 0.5× 48 0.3× 77 0.5× 264 2.2× 46 979
Enrique Baeyens 334 0.5× 708 1.6× 63 0.3× 30 0.2× 140 1.2× 47 1.1k
Mokhtar Shasadeghi 535 0.8× 768 1.7× 155 0.8× 128 0.9× 135 1.1× 66 1.1k
Gulnara Zhabelova 769 1.2× 745 1.6× 185 1.0× 49 0.3× 89 0.7× 31 1.2k
Yu Huang 171 0.3× 225 0.5× 162 0.9× 44 0.3× 182 1.5× 46 940
Luis G. Ordóñez 762 1.2× 333 0.7× 182 1.0× 43 0.3× 27 0.2× 25 821

Countries citing papers authored by Guannan Qu

Since Specialization
Citations

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

Fields of papers citing papers by Guannan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guannan Qu

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