Yilei Wu

665 total citations
20 papers, 508 citations indexed

About

Yilei Wu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Yilei Wu has authored 20 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 16 papers in Materials Chemistry and 5 papers in Polymers and Plastics. Recurrent topics in Yilei Wu's work include Perovskite Materials and Applications (15 papers), Machine Learning in Materials Science (4 papers) and Conducting polymers and applications (4 papers). Yilei Wu is often cited by papers focused on Perovskite Materials and Applications (15 papers), Machine Learning in Materials Science (4 papers) and Conducting polymers and applications (4 papers). Yilei Wu collaborates with scholars based in China, Hong Kong and United States. Yilei Wu's co-authors include Jinlan Wang, Shuaihua Lu, Qionghua Zhou, Yehui Zhang, Ming‐Gang Ju, Yilv Guo, Chongyi Ling, Qiang Li, Chunjin Ren and Yixin Ouyang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yilei Wu

20 papers receiving 494 citations

Peers

Yilei Wu
Comparison fields: 5 of 62
  • Materials Chemistry 408
  • Electrical and Electronic Engineering 227
  • Renewable Energy, Sustainability and the Environment 123
  • Electronic, Optical and Magnetic Materials 59
  • Catalysis 51
Replace Subhajit Nandy with:
Subhajit Nandy South Korea
Sungwoo Kang South Korea
Nima Alidoust United States
Prahlad K. Routh United States
Omar Allam United States
Simone Sieg Germany
Nicholas Marcella United States
Evan R. Antoniuk United States
Biplab Rajbanshi India
Subhajit Nandy South Korea View profile →
Citations per field, relative to Yilei Wu
Yilei Wu · 1×
Citations per year, relative to Yilei Wu
Yilei Wu · 1×

Countries citing papers authored by Yilei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yilei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yilei Wu. A scholar is included among the top collaborators of Yilei 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 Yilei Wu. Yilei Wu 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
# Work Indexed citations
1 2
2 1
3 1
4 3
5 48
6 3
7 2
8 8
9 3
10 2
11 10
12 117
13 47
14 6
15 32
16 35
17 70
18 109
19 7
20 2

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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