Suhua Lou

81 total papers · 866 total citations
58 papers, 662 citations indexed

About

Suhua Lou is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Suhua Lou has authored 58 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 13 papers in Energy Engineering and Power Technology. Recurrent topics in Suhua Lou's work include Integrated Energy Systems Optimization (21 papers), Electric Power System Optimization (20 papers) and Smart Grid Energy Management (17 papers). Suhua Lou is often cited by papers focused on Integrated Energy Systems Optimization (21 papers), Electric Power System Optimization (20 papers) and Smart Grid Energy Management (17 papers). Suhua Lou collaborates with scholars based in China, United States and Denmark. Suhua Lou's co-authors include Yaowu Wu, Yongcan Wang, Shaorong Wang, S. L. Lu, Xianggen Yin, Yuanzheng Li, Leijiao Ge, Zhigang Zeng, Yang Li and Miao Miao and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and Energy.

In The Last Decade

Suhua Lou

47 papers receiving 640 citations

Author Peers

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

Author Last Decade Papers Cites
Suhua Lou 553 176 122 79 74 58 662
Li Yu 523 0.9× 181 1.0× 100 0.8× 93 1.2× 115 1.6× 58 794
Yaowu Wu 651 1.2× 226 1.3× 113 0.9× 36 0.5× 45 0.6× 57 763
Yixun Xue 541 1.0× 215 1.2× 115 0.9× 59 0.7× 64 0.9× 59 657
Radu Porumb 470 0.8× 260 1.5× 65 0.5× 47 0.6× 79 1.1× 62 613
Wu Jiekang 528 1.0× 226 1.3× 83 0.7× 54 0.7× 44 0.6× 69 645
Shiming Tian 393 0.7× 125 0.7× 87 0.7× 41 0.5× 51 0.7× 50 581
Artūrs Purviņš 577 1.0× 233 1.3× 109 0.9× 121 1.5× 113 1.5× 34 712
Bing Sun 472 0.9× 181 1.0× 83 0.7× 31 0.4× 63 0.9× 65 628
Ivo Palu 615 1.1× 291 1.7× 51 0.4× 94 1.2× 66 0.9× 99 752
Sarjiya Sarjiya 570 1.0× 268 1.5× 128 1.0× 67 0.8× 60 0.8× 155 723

Countries citing papers authored by Suhua Lou

Since Specialization
Citations

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

Fields of papers citing papers by Suhua Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhua Lou

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