Miao Wan
Impact in
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- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- Concrete and Cement Materials Research
- Pollution top 10%
- Smart Materials for Construction
Papers in
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- ZnO doping and properties 5
- Copper-based nanomaterials and applications 3
- 2D Materials and Applications 2
- Microstructure and mechanical properties 2
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- Lubricants and Their Additives 2
- Co-authors
- Yue Xiao (4 shared papers)Shaopeng Wu (2 shared papers)Peiqiang Cui (1 shared paper)Peide Cui (1 shared paper)Kaihua He (11 shared papers)Hanlie Hong (4 shared papers)Jenkins Kj (1 shared paper)Siyu Wu (1 shared paper)
- Journals
- Physica B Condensed Matter (4 papers)Rubber Chemistry and Technology (3 papers)Wear (2 papers)Metals and Materials International (2 papers)Applied Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Miao Wan
46 papers receiving 644 citations
Peers
Comparison fields: 5 of 96
- Civil and Structural Engineering 231
- Pollution 71
- Polymers and Plastics 85
- Materials Chemistry 183
- Analytical Chemistry 32
Countries citing papers authored by Miao Wan
This map shows the geographic impact of Miao Wan'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 Miao Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Wan more than expected).
Fields of papers citing papers by Miao Wan
This network shows the impact of papers produced by Miao Wan. 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 Miao Wan. The network helps show where Miao Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Miao Wan, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2017 | 58 | |
| 3 | 2017 | 48 | |
| 4 | 2024 | 42 | |
| 5 | 2013 | 39 | |
| 6 | 2020 | 30 | |
| 7 | 2019 | 30 | |
| 8 | 2008 | 26 | |
| 9 | 2017 | 23 | |
| 10 | 2010 | 19 | |
| 11 | 2007 | 19 | |
| 12 | 2023 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 1996 | 14 | |
| 15 | 2024 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2011 | 11 | |
| 18 | 2014 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 1998 | 10 |
About Miao Wan
Miao Wan is a scholar working on Materials Chemistry, Mechanical Engineering, Mechanics of Materials, Electronic, Optical and Magnetic Materials and Civil and Structural Engineering, having authored 47 papers that have together received 652 indexed citations. Recurring topics across this work include Metallurgy and Material Forming (5 papers), ZnO doping and properties (5 papers), Asphalt Pavement Performance Evaluation (4 papers), Copper-based nanomaterials and applications (3 papers), Rheology and Fluid Dynamics Studies (3 papers), 2D Materials and Applications (2 papers), Lubricants and Their Additives (2 papers) and Microstructure and mechanical properties (2 papers). The work is most often cited by research in Civil and Structural Engineering (231 citations), Pollution (71 citations), Polymers and Plastics (85 citations), Materials Chemistry (183 citations) and Analytical Chemistry (32 citations). Miao Wan has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yue Xiao, Shaopeng Wu, Peiqiang Cui, Peide Cui, Kaihua He, Hanlie Hong, Jenkins Kj, Siyu Wu, Guang‐Fu Ji and Qingfeng Wu. Their work appears in journals such as Physica B Condensed Matter, Rubber Chemistry and Technology, Wear, Metals and Materials International and Applied Intelligence.
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.