Xiankun Zhang

3.8k citations
110 papers · 3.0k indexed · 1 hit paper · h-index 32
Topics
2D Materials and Applications (39 papers)Graphene research and applications (20 papers)MXene and MAX Phase Materials (18 papers)

In The Last Decade

Xiankun Zhang

103 papers receiving 2.9k citations

Hit Papers

Two-dimensional Czochralski growth of single-crystal MoS2202520262025102030

Peers

Xiankun Zhang
Comparison fields: 5 of 116
  • Materials Chemistry 1.8k
  • Electrical and Electronic Engineering 1.4k
  • Biomedical Engineering 650
  • Electronic, Optical and Magnetic Materials 267
  • Renewable Energy, Sustainability and the Environment 214
Replace An Chen with:
An Chen China
Yichi Zhang China
Ziyang Zhang China
Teng Wang China
Jia Shi China
Anand Chandrasekaran United States
Chenjie Gu China
Yilun Wang China
Luigi G. Occhipinti United Kingdom
Jinping Wang China
Xiankun Zhang relative to An Chen China An Chen's profile →
Citations per field
00.5×1.5×2.4×
An Chen · 1×
Citations per year

Countries citing papers authored by Xiankun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiankun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiankun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiankun Zhang. A scholar is included among the top collaborators of Xiankun Zhang 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 Xiankun Zhang. Xiankun Zhang 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 1
4 1
5 0
6 0
7 2
8 17
9 2
10 27
11 3
12 3
13 4
14 10
15 175
16 7
17
Degradation and acceleration modeling for ball bearings based on kurtosis of vibration data
0
18
Study and application of project approval ontology model
1
19
The Artificial Neural Network and Its Research on Classifying in Remote Sensing Image of Salt Fields Water
1
20
Group Colorability of Graphs.
12

About Xiankun Zhang

Xiankun Zhang is a scholar working on Materials Chemistry, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 110 papers that have together received 3.0k indexed citations. Recurring topics across this work include 2D Materials and Applications (39 papers), Graphene research and applications (20 papers) and MXene and MAX Phase Materials (18 papers). The work is most often cited by research in Materials Chemistry (1.8k citations), Electrical and Electronic Engineering (1.4k citations) and Biomedical Engineering (650 citations). Xiankun Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zheng Zhang, Zhuo Kang, Yue Zhang, Qingliang Liao, Huihui Yu, Baishan Liu, Jiankun Xiao, Junli Du, Gao Li and Yang Ou. Their work appears in journals such as Science, Advanced Materials and Nature Communications.

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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