Xinba Yaer
Impact in
- Ecological Modeling top 5%
- Erosion and Abrasive Machining
- Materials Chemistry top 10%
- Advanced Thermoelectric Materials and Devices
- Thermal properties of materials
- Metal Alloys Wear and Properties
- Thermal Expansion and Ionic Conductivity
Papers in
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- Advanced Thermoelectric Materials and Devices 15
- Thermal properties of materials 13
- Metal Alloys Wear and Properties 7
- Thermal Expansion and Ionic Conductivity 4
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- Advanced materials and composites 5
- Co-authors
- Jun Wang (15 shared papers)Kazumichi Shimizu (11 shared papers)Yan Li (6 shared papers)Lei Miao (7 shared papers)Kenta Kusumoto (6 shared papers)Shuai Zhang (3 shared papers)Chengyan Liu (4 shared papers)Nan Ding (2 shared papers)
In The Last Decade
Xinba Yaer
36 papers receiving 779 citations
Peers
Comparison fields: 5 of 41
- Ecological Modeling 89
- Materials Chemistry 672
- Mechanical Engineering 251
- Electronic, Optical and Magnetic Materials 113
- Civil and Structural Engineering 123
Countries citing papers authored by Xinba Yaer
This map shows the geographic impact of Xinba Yaer'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 Xinba Yaer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinba Yaer more than expected).
Fields of papers citing papers by Xinba Yaer
This network shows the impact of papers produced by Xinba Yaer. 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 Xinba Yaer. The network helps show where Xinba Yaer may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinba Yaer, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 191 | |
| 2 | 2015 | 96 | |
| 3 | 2007 | 55 | |
| 4 | 2018 | 54 | |
| 5 | 2018 | 46 | |
| 6 | 2019 | 33 | |
| 7 | 2017 | 31 | |
| 8 | 2014 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2019 | 27 | |
| 11 | 2015 | 26 | |
| 12 | 2017 | 25 | |
| 13 | 2018 | 22 | |
| 14 | 2019 | 20 | |
| 15 | 2018 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 6 | |
| 20 | 2009 | 6 |
About Xinba Yaer
Xinba Yaer is a scholar working on Materials Chemistry, Mechanical Engineering, Aerospace Engineering, Ecological Modeling and Civil and Structural Engineering, having authored 37 papers that have together received 789 indexed citations. Recurring topics across this work include Advanced Thermoelectric Materials and Devices (15 papers), Thermal properties of materials (13 papers), Erosion and Abrasive Machining (8 papers), Thermal Radiation and Cooling Technologies (7 papers), High-Temperature Coating Behaviors (7 papers), Metal Alloys Wear and Properties (7 papers), Advanced materials and composites (5 papers) and Thermal Expansion and Ionic Conductivity (4 papers). The work is most often cited by research in Ecological Modeling (89 citations), Materials Chemistry (672 citations), Mechanical Engineering (251 citations), Electronic, Optical and Magnetic Materials (113 citations) and Civil and Structural Engineering (123 citations). Xinba Yaer has collaborated with scholars based in China, Japan and Mongolia. Frequent co-authors include Jun Wang, Kazumichi Shimizu, Yan Li, Lei Miao, Kenta Kusumoto, Shuai Zhang, Chengyan Liu, Nan Ding, Tongmin Wang and Jing‐Feng Li. Their work appears in journals such as Wear, Journal of Alloys and Compounds, Materials Research Express, Journal of Materiomics and Journal of Materials Chemistry C.
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.