Linjie Wei
Impact in
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- Conducting polymers and applications
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- Electrospun Nanofibers in Biomedical Applications
- Calcium Carbonate Crystallization and Inhibition
Papers in
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- 2D Materials and Applications 3
- Luminescence Properties of Advanced Materials 3
- Luminescence and Fluorescent Materials 3
- Solid-state spectroscopy and crystallography 3
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- Perovskite Materials and Applications 10
- Co-authors
- Fengwei Xie (2 shared papers)Peng Liu (2 shared papers)Liming Wang (2 shared papers)Xiaoyi Liu (1 shared paper)Cong Ma (1 shared paper)Zhi Chen (9 shared papers)Hua Feng (7 shared papers)Gang Zhu (8 shared papers)
- Journals
- World Neurosurgery (3 papers)Advanced Science (2 papers)ACS Sustainable Chemistry & Engineering (2 papers)Frontiers in Neuroscience (2 papers)Neuroscience (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Linjie Wei
26 papers receiving 283 citations
Peers
Comparison fields: 5 of 72
- Polymers and Plastics 64
- Biomaterials 48
- Molecular Medicine 13
- Neurology 34
- Biomedical Engineering 105
Countries citing papers authored by Linjie Wei
This map shows the geographic impact of Linjie Wei'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 Linjie Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjie Wei more than expected).
Fields of papers citing papers by Linjie Wei
This network shows the impact of papers produced by Linjie Wei. 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 Linjie Wei. The network helps show where Linjie Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Linjie Wei, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 74 | |
| 2 | 2020 | 51 | |
| 3 | 2011 | 30 | |
| 4 | 2025 | 19 | |
| 5 | 2018 | 19 | |
| 6 | 2019 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2025 | 8 | |
| 9 | 2015 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2016 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2020 | 2 |
About Linjie Wei
Linjie Wei is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Neurology, Electronic, Optical and Magnetic Materials and Biomaterials, having authored 31 papers that have together received 286 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (10 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), 2D Materials and Applications (3 papers), Conducting polymers and applications (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Luminescence Properties of Advanced Materials (3 papers), Luminescence and Fluorescent Materials (3 papers) and Solid-state spectroscopy and crystallography (3 papers). The work is most often cited by research in Polymers and Plastics (64 citations), Biomaterials (48 citations), Molecular Medicine (13 citations), Neurology (34 citations) and Biomedical Engineering (105 citations). Linjie Wei has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Fengwei Xie, Peng Liu, Liming Wang, Xiaoyi Liu, Cong Ma, Zhi Chen, Hua Feng, Gang Zhu, Ying Li and Jianbo Zhang. Their work appears in journals such as World Neurosurgery, Advanced Science, ACS Sustainable Chemistry & Engineering, Frontiers in Neuroscience and Neuroscience.
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.