Kai Yan
Impact in
- Ceramics and Composites top 10%
- Mechanical Engineering top 10%
- Surface Treatment and Residual Stress
- High Entropy Alloys Studies
- Advanced materials and composites
Papers in
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- Shape Memory Alloy Transformations 8
- Diamond and Carbon-based Materials Research 7
- Nuclear Materials and Properties 5
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- Surface Treatment and Residual Stress 10
- Advanced materials and composites 4
- Co-authors
- Fuzeng Ren (14 shared papers)Hao Wang (5 shared papers)Andreas Ostendorf (4 shared papers)Evgeny L. Gurevich (3 shared papers)Qingping Sun (8 shared papers)Yong Xiang (7 shared papers)Haiyuan Yu (5 shared papers)Lu Yang (3 shared papers)
In The Last Decade
Kai Yan
33 papers receiving 485 citations
Peers
Comparison fields: 5 of 38
- Ceramics and Composites 51
- Mechanical Engineering 300
- Ecological Modeling 33
- Materials Chemistry 292
- Mechanics of Materials 138
Countries citing papers authored by Kai Yan
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
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.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 60 | |
| 2 | 2023 | 46 | |
| 3 | 2020 | 38 | |
| 4 | 2018 | 37 | |
| 5 | 2021 | 34 | |
| 6 | 2021 | 32 | |
| 7 | 2022 | 31 | |
| 8 | 2023 | 27 | |
| 9 | 2023 | 21 | |
| 10 | 2019 | 21 | |
| 11 | 2024 | 19 | |
| 12 | 2019 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2024 | 7 | |
| 20 | 2022 | 7 |
About Kai Yan
Kai Yan is a scholar working on Materials Chemistry, Mechanical Engineering, Mechanics of Materials, Aerospace Engineering and Ceramics and Composites, having authored 35 papers that have together received 498 indexed citations. Recurring topics across this work include Metal and Thin Film Mechanics (11 papers), Surface Treatment and Residual Stress (10 papers), High-Temperature Coating Behaviors (9 papers), Shape Memory Alloy Transformations (8 papers), Diamond and Carbon-based Materials Research (7 papers), Nuclear Materials and Properties (5 papers), Advanced ceramic materials synthesis (5 papers) and Advanced materials and composites (4 papers). The work is most often cited by research in Ceramics and Composites (51 citations), Mechanical Engineering (300 citations), Ecological Modeling (33 citations), Materials Chemistry (292 citations) and Mechanics of Materials (138 citations). Kai Yan has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Fuzeng Ren, Hao Wang, Andreas Ostendorf, Evgeny L. Gurevich, Qingping Sun, Yong Xiang, Haiyuan Yu, Lu Yang, Zhiyong Hu and Dingshan Liang. Their work appears in journals such as Ceramics International, Corrosion Science, Acta Materialia, Shape Memory and Superelasticity and Surface and Coatings 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.