Weikun Lin
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
-
- Perovskite Materials and Applications 4
- Advanced Memory and Neural Computing 3
- Advanced Battery Materials and Technologies 1
- Organic Electronics and Photovoltaics 1
- Organic Light-Emitting Diodes Research 1
- Advancements in Battery Materials 1
- Co-authors
- Huipeng Chen (6 shared papers)Tailiang Guo (5 shared papers)Enlong Li (5 shared papers)Gengxu Chen (5 shared papers)Xiaomin Wu (2 shared papers)Qizhen Chen (2 shared papers)Yujie Yan (2 shared papers)Rengjian Yu (1 shared paper)
- Journals
- ACS Applied Materials & Interfaces (3 papers)Journal of Colloid and Interface Science (1 paper)Materials Letters (1 paper)Nano Energy (1 paper)Materials & Design (1 paper)
- Partner nations
- China
In The Last Decade
Weikun Lin
9 papers receiving 360 citations
Peers
Comparison fields: 5 of 33
- Polymers and Plastics 107
- Cellular and Molecular Neuroscience 123
- Electrical and Electronic Engineering 325
- Cognitive Neuroscience 39
- Bioengineering 9
Countries citing papers authored by Weikun Lin
This map shows the geographic impact of Weikun Lin'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 Weikun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weikun Lin more than expected).
Fields of papers citing papers by Weikun Lin
This network shows the impact of papers produced by Weikun Lin. 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 Weikun Lin. The network helps show where Weikun Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Weikun Lin, 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 | 2021 | 122 | |
| 2 | 2019 | 101 | |
| 3 | 2020 | 54 | |
| 4 | 2020 | 36 | |
| 5 | 2023 | 13 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 |
About Weikun Lin
Weikun Lin is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 10 papers that have together received 362 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (4 papers), Advanced Memory and Neural Computing (3 papers), Advanced Battery Materials and Technologies (1 paper), Organic Electronics and Photovoltaics (1 paper), Organic Light-Emitting Diodes Research (1 paper), Advanced Photocatalysis Techniques (1 paper), Advancements in Battery Materials (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Polymers and Plastics (107 citations), Cellular and Molecular Neuroscience (123 citations), Electrical and Electronic Engineering (325 citations), Cognitive Neuroscience (39 citations) and Bioengineering (9 citations). Weikun Lin has collaborated with scholars based in China. Frequent co-authors include Huipeng Chen, Tailiang Guo, Enlong Li, Gengxu Chen, Xiaomin Wu, Qizhen Chen, Yujie Yan, Rengjian Yu, Yaqian Liu and Yuanyuan Hu. Their work appears in journals such as ACS Applied Materials & Interfaces, Journal of Colloid and Interface Science, Materials Letters, Nano Energy and Materials & Design.
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.