Hangyu Xu

709 citations
25 papers · 542 indexed · 1 hit paper · h-index 9
Topics
Advanced Memory and Neural Computing (7 papers)2D Materials and Applications (7 papers)Graphene research and applications (3 papers)
Partner nations
ChinaHong KongRussia

In The Last Decade

Hangyu Xu

20 papers receiving 526 citations

Hit Papers

2D materials–based homogeneous transistor-memory architec...2021202620222024202150100150200250

Peers

Hangyu Xu
Comparison fields: 5 of 45
  • Electrical and Electronic Engineering 426
  • Materials Chemistry 235
  • Biomedical Engineering 83
  • Cellular and Molecular Neuroscience 80
  • Artificial Intelligence 73
Replace Xiaohe Huang with:
Xiaohe Huang China
Minseong Park United States
Yongmin Baek United States
Sohail Abbas South Korea
Meiyu He China
Chi Liu China
Jia Yang China
Jinxin Li China
Hangyu Xu relative to Xiaohe Huang China Xiaohe Huang's profile →
Citations per field
00.5×1.5×1.8×
Xiaohe Huang · 1×
Citations per year

Countries citing papers authored by Hangyu Xu

Since Specialization
Citations

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

Fields of papers citing papers by Hangyu Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hangyu Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Hangyu Xu. A scholar is included among the top collaborators of Hangyu Xu 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 Hangyu Xu. Hangyu Xu 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 8
3 3
4 3
5 10
6 0
7 1
8 27
9 19
10 15
11 86
12 39
13 7
14 1
15
2D materials–based homogeneous transistor-memory architecture for neuromorphic hardwarebreakdown →
269
16 4
17 1
18 6
19 1
20 2

About Hangyu Xu

Hangyu Xu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 542 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), 2D Materials and Applications (7 papers) and Graphene research and applications (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (426 citations), Materials Chemistry (235 citations) and Cellular and Molecular Neuroscience (80 citations). Hangyu Xu has collaborated with scholars based in China, Hong Kong and Russia. Frequent co-authors include Weida Hu, Peng Wang, Hui Xia, Jianbin Xu, Runfeng Lin, Yilun Wang, Zheng Li, Mingsheng Xu, Lei Ye and Xinyu Huang. Their work appears in journals such as Science, Applied Physics Letters and Advanced Functional Materials.

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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