Dehai Wu

26.4k total citations · 11 hit papers
251 papers, 22.6k citations indexed

About

Dehai Wu is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Dehai Wu has authored 251 papers receiving a total of 22.6k indexed citations (citations by other indexed papers that have themselves been cited), including 214 papers in Materials Chemistry, 112 papers in Biomedical Engineering and 53 papers in Electrical and Electronic Engineering. Recurrent topics in Dehai Wu's work include Graphene research and applications (149 papers), Carbon Nanotubes in Composites (130 papers) and Nanowire Synthesis and Applications (43 papers). Dehai Wu is often cited by papers focused on Graphene research and applications (149 papers), Carbon Nanotubes in Composites (130 papers) and Nanowire Synthesis and Applications (43 papers). Dehai Wu collaborates with scholars based in China, United States and Japan. Dehai Wu's co-authors include Hongwei Zhu, Jinquan Wei, Kunlin Wang, Cailu Xu, Bingqing Wei, Yi Jia, Anyuan Cao, Yanhui Li, Zhaokun Luan and Zhen Li and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nano Letters.

In The Last Decade

Dehai Wu

249 papers receiving 22.1k citations

Hit Papers

Carbon Nanotube Sponges 1999 2026 2008 2017 2009 2014 2010 2003 2011 400 800 1.2k

Peers

Dehai Wu
Comparison fields: 5 of 155
  • Materials Chemistry 13.1k
  • Biomedical Engineering 9.8k
  • Electrical and Electronic Engineering 5.9k
  • Electronic, Optical and Magnetic Materials 4.2k
  • Water Science and Technology 4.0k
Replace Kunlin Wang with:
Kunlin Wang China
Dmitry V. Kosynkin United States
Jinquan Wei China
Chao Gao China
Daniel R. Dreyer United States
Alexander Sinitskii United States
Zhengzong Sun China
J.M.D. Tascón Spain
Zhen Xu China
Geoffrey Dommett United States
Kunlin Wang China View profile →
Citations per field, relative to Dehai Wu
Dehai Wu · 1×
Citations per year, relative to Dehai Wu
Dehai Wu · 1×

Countries citing papers authored by Dehai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dehai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dehai Wu. A scholar is included among the top collaborators of Dehai 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 Dehai Wu. Dehai 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 1
2 1
3 13
4 14
5 37
6 15
7 96
8 65
9 49
10 7
11 22
12 29
13 87
14 5
15 17
16 2
17 0
18 6
19 9
20 19

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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