Nianyuan Wu

16 total papers · 633 total citations
10 papers, 452 citations indexed

About

Nianyuan Wu is a scholar working on Electrical and Electronic Engineering, Environmental Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Nianyuan Wu has authored 10 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 3 papers in Environmental Engineering and 3 papers in Energy Engineering and Power Technology. Recurrent topics in Nianyuan Wu's work include Integrated Energy Systems Optimization (6 papers), Smart Grid Energy Management (3 papers) and Hybrid Renewable Energy Systems (3 papers). Nianyuan Wu is often cited by papers focused on Integrated Energy Systems Optimization (6 papers), Smart Grid Energy Management (3 papers) and Hybrid Renewable Energy Systems (3 papers). Nianyuan Wu collaborates with scholars based in China, United Kingdom and Singapore. Nianyuan Wu's co-authors include Yingru Zhao, Jian Lin, Shan Juan Xie, Xiaonan Wang, Li Li, Yanan Zheng, Chao Meng, Nilay Shah, Zhihui Zhang and Li Li and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Renewable Energy.

In The Last Decade

Nianyuan Wu

10 papers receiving 439 citations

Author Peers

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

Author Last Decade Papers Cites
Nianyuan Wu 205 113 96 76 60 10 452
Dimitrios N. Michaelides 229 1.1× 126 1.1× 81 0.8× 93 1.2× 32 0.5× 8 454
Shannon Page 252 1.2× 154 1.4× 118 1.2× 74 1.0× 68 1.1× 28 528
Jinhui Duan 203 1.0× 68 0.6× 46 0.5× 89 1.2× 51 0.8× 13 436
Hisham Khatib 162 0.8× 151 1.3× 51 0.5× 63 0.8× 61 1.0× 22 507
Maulidi Barasa 219 1.1× 129 1.1× 130 1.4× 61 0.8× 66 1.1× 8 444
Tobias Trost 303 1.5× 131 1.2× 220 2.3× 49 0.6× 43 0.7× 8 510
Julian Straus 238 1.2× 103 0.9× 189 2.0× 51 0.7× 48 0.8× 22 500
Jing Yang 126 0.6× 98 0.9× 43 0.4× 75 1.0× 91 1.5× 10 522
Ben Haley 171 0.8× 131 1.2× 55 0.6× 49 0.6× 88 1.5× 7 415
Marianna Rottoli 241 1.2× 162 1.4× 92 1.0× 56 0.7× 119 2.0× 11 505

Countries citing papers authored by Nianyuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Nianyuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nianyuan Wu

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