Kailun Li
Impact in
- Automotive Engineering top 2%
- Additive Manufacturing and 3D Printing Technologies
- Mechanical Engineering top 2%
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Advanced materials and composites
- Welding Techniques and Residual Stresses
Papers in
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- Additive Manufacturing Materials and Processes 21
- Advanced materials and composites 10
- High Entropy Alloys Studies 8
- Welding Techniques and Residual Stresses 6
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- Nuclear Materials and Properties 7
- Fusion materials and technologies 5
- Co-authors
- Zhijian Shen (11 shared papers)Jing Ma (13 shared papers)Wei Liu (6 shared papers)Dianzheng Wang (10 shared papers)Wei Liu (4 shared papers)Chenfan Yu (9 shared papers)Xin Zhou (2 shared papers)Jinhan Chen (11 shared papers)
In The Last Decade
Kailun Li
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Automotive Engineering 335
- Mechanical Engineering 941
- Metals and Alloys 33
- Materials Chemistry 241
- Computational Mechanics 75
Countries citing papers authored by Kailun Li
This map shows the geographic impact of Kailun Li'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 Kailun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailun Li more than expected).
Fields of papers citing papers by Kailun Li
This network shows the impact of papers produced by Kailun Li. 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 Kailun Li. The network helps show where Kailun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kailun Li, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 246 | |
| 2 | 2018 | 120 | |
| 3 | 2019 | 115 | |
| 4 | 2018 | 81 | |
| 5 | 2018 | 79 | |
| 6 | 2020 | 57 | |
| 7 | 2023 | 45 | |
| 8 | 2019 | 43 | |
| 9 | 2019 | 41 | |
| 10 | 2019 | 40 | |
| 11 | 2022 | 31 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2023 | 13 |
About Kailun Li
Kailun Li is a scholar working on Mechanical Engineering, Materials Chemistry, Automotive Engineering, Control and Systems Engineering and Computational Mechanics, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (21 papers), Advanced materials and composites (10 papers), Additive Manufacturing and 3D Printing Technologies (10 papers), High Entropy Alloys Studies (8 papers), Nuclear Materials and Properties (7 papers), Welding Techniques and Residual Stresses (6 papers), Fusion materials and technologies (5 papers) and Vehicle Dynamics and Control Systems (4 papers). The work is most often cited by research in Automotive Engineering (335 citations), Mechanical Engineering (941 citations), Metals and Alloys (33 citations), Materials Chemistry (241 citations) and Computational Mechanics (75 citations). Kailun Li has collaborated with scholars based in China, Sweden and Poland. Frequent co-authors include Zhijian Shen, Jing Ma, Wei Liu, Dianzheng Wang, Wei Liu, Chenfan Yu, Xin Zhou, Jinhan Chen, Xihe Liu and Dandan Zhang. Their work appears in journals such as Metals, Journal of Alloys and Compounds, Materials & Design, Advanced Engineering Materials and Scripta Materialia.
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.