Dan Wu

5.0k total citations · 2 hit papers
117 papers, 4.3k citations indexed

About

Dan Wu is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Dan Wu has authored 117 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Materials Chemistry, 32 papers in Electronic, Optical and Magnetic Materials and 31 papers in Electrical and Electronic Engineering. Recurrent topics in Dan Wu's work include Metal-Organic Frameworks: Synthesis and Applications (23 papers), Advanced battery technologies research (21 papers) and Electrocatalysts for Energy Conversion (20 papers). Dan Wu is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (23 papers), Advanced battery technologies research (21 papers) and Electrocatalysts for Energy Conversion (20 papers). Dan Wu collaborates with scholars based in China, Japan and Australia. Dan Wu's co-authors include Wei Du, Yao‐Yu Wang, Guo‐Ping Yang, Xiubo Xie, Wenbin Zhong, Shuanglin Deng, Qinchuan He, Xueqin Sun, Xiaohe Liu and Chuanxin Hou and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Dan Wu

110 papers receiving 4.2k citations

Hit Papers

Three-dimensional conductive network constructed by in-si... 2023 2026 2024 2025 2023 2024 40 80 120

Peers

Dan Wu
Comparison fields: 5 of 120
  • Electronic, Optical and Magnetic Materials 1.8k
  • Materials Chemistry 1.5k
  • Electrical and Electronic Engineering 1.3k
  • Renewable Energy, Sustainability and the Environment 1000
  • Inorganic Chemistry 809
Replace Weijin Li with:
Weijin Li China
Ivo Kuřitka Czechia
Qian Duan China
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Aming Xie China
Zhi‐Yi Hu China
Shaohua Jiang China
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Yali Liu China
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Weijin Li China View profile →
Citations per field, relative to Dan Wu
Dan Wu · 1×
Citations per year, relative to Dan Wu
Dan Wu · 1×

Countries citing papers authored by Dan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Wu. A scholar is included among the top collaborators of Dan 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 Dan Wu. Dan 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 0
2 0
3 0
4
Lightweight dielectric-magnetic synergistic necklace-shaped Co@NCP/carbon nanofiber composites for enhanced electromagnetic wave absorption breakdown →
79
5 3
6 66
7 97
8 20
9 3
10 81
11 2
12 48
13 143
14 26
15 19
16 42
17 61
18 35
19 1
20 8

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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