Muqiang Jian
- Polymers and Plastics top 0.2%
- Conducting polymers and applications 19
- Biomedical Engineering top 0.1%
- Advanced Sensor and Energy Harvesting Materials 30
- Cognitive Neuroscience top 1%
- Biomaterials top 1%
- Silk-based biomaterials and applications 12
- Bioengineering top 1%
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- Graphene research and applications 13
- Carbon Nanotubes in Composites 11
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- Supercapacitor Materials and Fabrication 9
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- Advanced Materials and Mechanics 8
- Fiber-reinforced polymer composites 7
In The Last Decade
Muqiang Jian
63 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Polymers and Plastics 3.3k
- Biomedical Engineering 6.5k
- Cognitive Neuroscience 1.9k
- Biomaterials 1.1k
- Bioengineering 311
Countries citing papers authored by Muqiang Jian
This map shows the geographic impact of Muqiang Jian'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 Muqiang Jian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muqiang Jian more than expected).
Fields of papers citing papers by Muqiang Jian
This network shows the impact of papers produced by Muqiang Jian. 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 Muqiang Jian. The network helps show where Muqiang Jian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muqiang Jian, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 40 | |
| 8 | 2023 | 85 | |
| 9 | 2023 | 27 | |
| 10 | 2023 | 21 | |
| 11 | 2023 | 20 | |
| 12 | 2022 | 41 | |
| 13 | 2021 | 133 | |
| 14 | 2019 | 199 | |
| 15 | 2019 | 42 | |
| 16 | Graphene Textile Strain Sensor with Negative Resistance Variation for Human Motion Detectionbreakdown → | 2018 | 488 |
| 17 | Epidermis Microstructure Inspired Graphene Pressure Sensor with Random Distributed Spinosum for High Sensitivity and Large Linearitybreakdown → | 2018 | 675 |
| 18 | Carbonized Silk Nanofiber Membrane for Transparent and Sensitive Electronic Skinbreakdown → | 2017 | 499 |
| 19 | 2017 | 153 | |
| 20 | 2016 | 22 |
About Muqiang Jian
Muqiang Jian is a scholar working on Polymers and Plastics, Biomaterials and Biomedical Engineering, having authored 66 papers that have together received 8.3k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (30 papers), Conducting polymers and applications (19 papers), Graphene research and applications (13 papers), Silk-based biomaterials and applications (12 papers), Carbon Nanotubes in Composites (11 papers), Supercapacitor Materials and Fabrication (9 papers), Advanced Materials and Mechanics (8 papers) and Fiber-reinforced polymer composites (7 papers). The work is most often cited by research in Polymers and Plastics (3.3k citations), Biomedical Engineering (6.5k citations) and Cognitive Neuroscience (1.9k citations). Muqiang Jian has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Yingying Zhang, Chunya Wang, Mingchao Zhang, Kailun Xia, Qi Wang, Tian‐Ling Ren, Haomin Wang, Xiaoping Liang, Zhe Yin and Yu Pang. Their work appears in journals such as Science, Advanced Materials and Nature Communications.
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.