Hairu Long
- Polymers and Plastics top 2%
- Textile materials and evaluations 25
- Conducting polymers and applications 8
- Natural Fiber Reinforced Composites 5
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials 14
- Mechanics of Materials top 5%
- Mechanical Behavior of Composites 14
- Mechanical stress and fatigue analysis 4
- Mechanical Engineering top 10%
- Cellular and Composite Structures 5
-
- Industrial Vision Systems and Defect Detection 4
In The Last Decade
Hairu Long
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Polymers and Plastics 757
- Electronic, Optical and Magnetic Materials 268
- Biomedical Engineering 535
- Mechanics of Materials 265
- Mechanical Engineering 238
Countries citing papers authored by Hairu Long
This map shows the geographic impact of Hairu Long'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 Hairu Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hairu Long more than expected).
Fields of papers citing papers by Hairu Long
This network shows the impact of papers produced by Hairu Long. 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 Hairu Long. The network helps show where Hairu Long may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hairu Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 5 | |
| 2 | 2019 | 125 | |
| 3 | 2018 | 6 | |
| 4 | Sound absorption properties of polyurethane-based warp-knitted spacer fabric composites | 2017 | 9 |
| 5 | 2017 | 105 | |
| 6 | 2017 | 22 | |
| 7 | 2016 | 55 | |
| 8 | 2015 | 20 | |
| 9 | 2015 | 8 | |
| 10 | 2015 | 4 | |
| 11 | 2015 | 13 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 39 | |
| 14 | 2012 | 42 | |
| 15 | 2012 | 104 | |
| 16 | 2011 | 5 | |
| 17 | 2010 | 2 | |
| 18 | Study on neutral cellulose-enzyme treatment of linen knitted fabrics | 2008 | 1 |
| 19 | Three-dimensional computer simulation of plain weft knitted fabric | 2007 | 2 |
| 20 | Study on the Automatic Measurement of the Density of Knitted Fabrics by Image Processing | 2004 | 2 |
About Hairu Long
Hairu Long is a scholar working on Polymers and Plastics, Mechanics of Materials and Industrial and Manufacturing Engineering, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Textile materials and evaluations (25 papers), Mechanical Behavior of Composites (14 papers), Advanced Sensor and Energy Harvesting Materials (14 papers), Conducting polymers and applications (8 papers), Natural Fiber Reinforced Composites (5 papers), Cellular and Composite Structures (5 papers), Industrial Vision Systems and Defect Detection (4 papers) and Mechanical stress and fatigue analysis (4 papers). The work is most often cited by research in Polymers and Plastics (757 citations), Electronic, Optical and Magnetic Materials (268 citations) and Biomedical Engineering (535 citations). Hairu Long has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Zhao Li, Hong Hu, Yanping Liu, Zan Lu, Gordon G. Wallace, Caiyun Wang, Javad Foroughi, Chao Zhi, Menghe Miao and Juan Xie. Their work appears in journals such as Advanced Energy Materials, Nano Energy and Nanoscale.
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.