Jianshe Lian
- Materials Chemistry top 0.2%
- Electrical and Electronic Engineering top 0.5%
- Mechanical Engineering top 0.2%
- Renewable Energy, Sustainability and the Environment top 0.5%
- Electronic, Optical and Magnetic Materials top 1%
- Topics
- Microstructure and mechanical properties (71 papers)Magnesium Alloys: Properties and Applications (51 papers)ZnO doping and properties (43 papers)
In The Last Decade
Jianshe Lian
312 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Materials Chemistry 8.5k
- Electrical and Electronic Engineering 5.1k
- Mechanical Engineering 3.9k
- Renewable Energy, Sustainability and the Environment 2.7k
- Electronic, Optical and Magnetic Materials 2.5k
Countries citing papers authored by Jianshe Lian
This map shows the geographic impact of Jianshe Lian'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 Jianshe Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianshe Lian more than expected).
Fields of papers citing papers by Jianshe Lian
This network shows the impact of papers produced by Jianshe Lian. 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 Jianshe Lian. The network helps show where Jianshe Lian may publish in the future.
Co-authorship network of co-authors of Jianshe Lian
This figure shows the co-authorship network connecting the top 25 collaborators of Jianshe Lian. A scholar is included among the top collaborators of Jianshe Lian 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 Jianshe Lian. Jianshe Lian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 19 | |
| 4 | 13 | |
| 5 | Uniting tensile ductility with ultrahigh strength via composition undulationbreakdown → | 168 |
| 6 | 24 | |
| 7 | 11 | |
| 8 | 45 | |
| 9 | 15 | |
| 10 | 105 | |
| 11 | 40 | |
| 12 | 76 | |
| 13 | 76 | |
| 14 | 8 | |
| 15 | 50 | |
| 16 | 50 | |
| 17 | 17 | |
| 18 | 74 | |
| 19 | An Application of the Modified Shear Lag Model to Study the Influence of Thermal Residual Stresses on the Stiffness and Yield Strength of Short Fiber Reinforced Metal Matrix Composites | 3 |
| 20 | 6 |
About Jianshe Lian
Jianshe Lian is a scholar working on Materials Chemistry, Biomaterials and Metals and Alloys, having authored 314 papers that have together received 13.5k indexed citations. Recurring topics across this work include Microstructure and mechanical properties (71 papers), Magnesium Alloys: Properties and Applications (51 papers) and ZnO doping and properties (43 papers). The work is most often cited by research in Materials Chemistry (8.5k citations), Renewable Energy, Sustainability and the Environment (2.7k citations) and Biomaterials (1.8k citations). Jianshe Lian has collaborated with scholars based in China, Australia and France. Frequent co-authors include Qing Jiang, Zhonghao Jiang, Guangyu Li, J. Sudagar, Wei Sha, B. Baudelet, Guoyong Wang, Lijun Zhao, Liyuan Niu and Xijia Yang. Their work appears in journals such as Nature, Energy & Environmental Science and Applied Physics Letters.
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.