Kai Guan

1.6k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Kai Guan is a scholar working on Mechanical Engineering, Materials Chemistry and Cognitive Neuroscience. According to data from OpenAlex, Kai Guan has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 9 papers in Materials Chemistry and 5 papers in Cognitive Neuroscience. Recurrent topics in Kai Guan's work include Intermetallics and Advanced Alloy Properties (7 papers), EEG and Brain-Computer Interfaces (5 papers) and Magnesium Alloys: Properties and Applications (4 papers). Kai Guan is often cited by papers focused on Intermetallics and Advanced Alloy Properties (7 papers), EEG and Brain-Computer Interfaces (5 papers) and Magnesium Alloys: Properties and Applications (4 papers). Kai Guan collaborates with scholars based in China, Japan and United States. Kai Guan's co-authors include Jinghuai Zhang, Ruizhi Wu, Jinshu Xie, Shujuan Liu, Jun Wang, Zhi Zhang, Jing Feng, Yuying He, Hu Zhang and Bin Kong and has published in prestigious journals such as Materials Science and Engineering A, Optics Express and Energy.

In The Last Decade

Kai Guan

24 papers receiving 1.3k citations

Hit Papers

Towards developing Mg alloys with simultaneously improved... 2020 2026 2022 2024 2020 100 200 300

Peers

Kai Guan
Comparison fields: 5 of 101
  • Mechanical Engineering 891
  • Biomaterials 691
  • Materials Chemistry 551
  • Aerospace Engineering 243
  • Mechanics of Materials 166
Replace Zhimin Zhang with:
Zhimin Zhang China
Bo Hu China
Hyung Keun Park South Korea
Liang Deng China
Suman Shrestha United States
Young‐Min Kim South Korea
Wenjun Cai United States
Zuyan Liu China
Pengcheng Zhao China
Zhimin Zhang China View profile →
Citations per field, relative to Kai Guan
Kai Guan · 1×
Citations per year, relative to Kai Guan
Kai Guan · 1×

Countries citing papers authored by Kai Guan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Guan. A scholar is included among the top collaborators of Kai Guan 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 Kai Guan. Kai Guan 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 1
4 0
5 97
6 148
7 1
8 3
9 148
10
Towards developing Mg alloys with simultaneously improved strength and corrosion resistance via RE alloying breakdown →
336
11 15
12 35
13 104
14 57
15 32
16 38
17 35
18 1
19 24
20 2

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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