Kai Yan

1.7k citations
75 papers · 1.4k · h-index 24

Impact in

Papers in

    • Hydrogen Storage and Materials 24
    • Microstructure and mechanical properties 13
    • Corrosion Behavior and Inhibition 4
    • Magnesium Alloys: Properties and Applications 35

Kai Yan

69 papers receiving 1.4k citations

Peers

Kai Yan
Comparison fields: 5 of 81
  • Energy Engineering and Power Technology 186
  • Biomaterials 682
  • Catalysis 194
  • Materials Chemistry 928
  • Mechanical Engineering 680
Replace Xin Fu Tan with:
Xin Fu Tan Australia
Jianhua Ye China
Xinglin Yang China
Ivan Tolj Croatia
Hong-Qiang Fan China
Adam Wojcik United Kingdom
Shichuan Su China
Dongfang Zhang China
N. R. Banapurmath India
Kai Yan relative to Xin Fu Tan Australia Xin Fu Tan's profile →
Citations per field
00.5×4.9×
Xin Fu Tan · 1×
Citations per year

Countries citing papers authored by Kai Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Yan Line = papers co-authored together Kai Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015102
2 201798
3 202162
4 202062
5 201959
6 202346
7 202245
8 201443
9 201841
10 202340
11 201740
12 202140
13 202033
14 202031
15 201729
16 202228
17 202428
18 201927
19 201927
20 201626

About Kai Yan

Kai Yan is a scholar working on Materials Chemistry, Biomaterials, Mechanical Engineering, Catalysis and Aerospace Engineering, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Magnesium Alloys: Properties and Applications (35 papers), Aluminum Alloys Composites Properties (26 papers), Hydrogen Storage and Materials (24 papers), Ammonia Synthesis and Nitrogen Reduction (14 papers), Microstructure and mechanical properties (13 papers), Aluminum Alloy Microstructure Properties (12 papers), Hybrid Renewable Energy Systems (9 papers) and Corrosion Behavior and Inhibition (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (186 citations), Biomaterials (682 citations), Catalysis (194 citations), Materials Chemistry (928 citations) and Mechanical Engineering (680 citations). Kai Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jing Bai, Huan Liu, Honghui Cheng, Jinghua Jiang, Feng Xue, Jingjing Liu, Aibin Ma, Jingli Yan, Shuai Zhu and Zhaoyang Jin. Their work appears in journals such as International Journal of Hydrogen Energy, Journal of Alloys and Compounds, Materials Science and Engineering A, Acta Metallurgica Sinica (English Letters) and Journal of Materials Research and Technology.

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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