Yingyi Wen
Impact in
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications
- Bioengineering top 5%
- Analytical Chemistry and Sensors
Papers in
-
- Gas Sensing Nanomaterials and Sensors 7
- Advanced Memory and Neural Computing 4
- Perovskite Materials and Applications 3
-
- Covalent Organic Framework Applications 5
- ZnO doping and properties 3
- Co-authors
- Gang Xu (12 shared papers)Guan‐E Wang (9 shared papers)Wenhua Li (9 shared papers)Xiao‐Liang Ye (7 shared papers)Yuan Lin (1 shared paper)Weihua Deng (4 shared papers)Zhihua Fu (3 shared papers)Wen‐Long Xue (2 shared papers)
In The Last Decade
Yingyi Wen
17 papers receiving 523 citations
Peers
Comparison fields: 5 of 52
- Inorganic Chemistry 287
- Bioengineering 77
- Materials Chemistry 273
- Electrical and Electronic Engineering 317
- Polymers and Plastics 51
Countries citing papers authored by Yingyi Wen
This map shows the geographic impact of Yingyi Wen'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 Yingyi Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingyi Wen more than expected).
Fields of papers citing papers by Yingyi Wen
This network shows the impact of papers produced by Yingyi Wen. 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 Yingyi Wen. The network helps show where Yingyi Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingyi Wen, 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 | 149 | |
| 2 | 2021 | 143 | |
| 3 | 2022 | 73 | |
| 4 | 2021 | 42 | |
| 5 | 2021 | 41 | |
| 6 | 2023 | 29 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 10 | |
| 9 | 2021 | 7 | |
| 10 | 2015 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Yingyi Wen
Yingyi Wen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Inorganic Chemistry, Cellular and Molecular Neuroscience and Renewable Energy, Sustainability and the Environment, having authored 19 papers that have together received 531 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (8 papers), Gas Sensing Nanomaterials and Sensors (7 papers), Covalent Organic Framework Applications (5 papers), Advanced Memory and Neural Computing (4 papers), ZnO doping and properties (3 papers), Perovskite Materials and Applications (3 papers), Advanced Photocatalysis Techniques (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Inorganic Chemistry (287 citations), Bioengineering (77 citations), Materials Chemistry (273 citations), Electrical and Electronic Engineering (317 citations) and Polymers and Plastics (51 citations). Yingyi Wen has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Gang Xu, Guan‐E Wang, Wenhua Li, Xiao‐Liang Ye, Yuan Lin, Weihua Deng, Zhihua Fu, Wen‐Long Xue, Hui Chen and Jared M. Taylor. Their work appears in journals such as Angewandte Chemie International Edition, Advanced Electronic Materials, Nano Letters, Physical Review Applied 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.