Enxiu Wu

1.7k citations
61 papers · 1.3k indexed · 1 hit paper · h-index 20
Topics
2D Materials and Applications (33 papers)Advanced Memory and Neural Computing (16 papers)MXene and MAX Phase Materials (15 papers)
Partner nations
ChinaRussiaUnited States

In The Last Decade

Enxiu Wu

54 papers receiving 1.2k citations

Hit Papers

High‐Precision Multibit Opto‐Electronic Synapses Based on...2025202620255101520

Peers

Enxiu Wu
Comparison fields: 5 of 54
  • Electrical and Electronic Engineering 864
  • Materials Chemistry 805
  • Biomedical Engineering 247
  • Polymers and Plastics 129
  • Bioengineering 88
Replace Zhengzheng Shao with:
Zhengzheng Shao China
Seongin Hong South Korea
Namsoo Lim South Korea
Zijian Wang China
Anh Tuấn Hoàng South Korea
Chuanyu Han China
Alex Henning United States
Brijesh Kumar India
Shuchao Qin China
Yu Yu China
Enxiu Wu relative to Zhengzheng Shao China Zhengzheng Shao's profile →
Citations per field
00.5×4.8×
Zhengzheng Shao · 1×
Citations per year

Countries citing papers authored by Enxiu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Enxiu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enxiu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Enxiu Wu. A scholar is included among the top collaborators of Enxiu 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 Enxiu Wu. Enxiu 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
#WorkIndexed citations
1 0
2 0
3
High‐Precision Multibit Opto‐Electronic Synapses Based on ReS 2 /h‐BN/Graphene Heterostructure for Energy‐Efficient and High‐Accuracy Neuromorphic Computingbreakdown →
22
4 0
5 13
6 0
7 4
8 44
9 2
10 21
11 1
12 14
13 5
14 7
15 42
16 17
17 43
18 31
19 44
20 16

About Enxiu Wu

Enxiu Wu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include 2D Materials and Applications (33 papers), Advanced Memory and Neural Computing (16 papers) and MXene and MAX Phase Materials (15 papers). The work is most often cited by research in Materials Chemistry (805 citations), Bioengineering (88 citations) and Electrical and Electronic Engineering (864 citations). Enxiu Wu has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Jing Liu, Yuan Xie, Xiao Hu, Daihua Zhang, Hao Zhang, Bo Yuan, Chongwu Zhou, Jing Zhang, Shuangqing Fan and A. van der Ziel. Their work appears in journals such as Nano Letters, ACS Nano and Applied Physics Letters.

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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