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)Wenhua Li (9 shared papers)Guan‐E Wang (9 shared papers)Xiao‐Liang Ye (7 shared papers)Yanyan Fang (1 shared paper)Weihua Deng (4 shared papers)Zhihua Fu (3 shared papers)Yu‐Heng Deng (2 shared papers)
- Journals
- Angewandte Chemie International Edition (4 papers)Nano Letters (2 papers)Advanced Electronic Materials (2 papers)Nature Communications (1 paper)Advanced Materials (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yingyi Wen
19 papers receiving 568 citations
Peers
Comparison fields: 5 of 54
- Inorganic Chemistry 295
- Bioengineering 80
- Materials Chemistry 284
- Electrical and Electronic Engineering 336
- Polymers and Plastics 55
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 | 155 | |
| 2 | 2021 | 154 | |
| 3 | 2022 | 78 | |
| 4 | 2021 | 46 | |
| 5 | 2021 | 45 | |
| 6 | 2023 | 33 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2015 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 |
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 575 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), Advanced Photocatalysis Techniques (3 papers), Perovskite Materials and Applications (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Inorganic Chemistry (295 citations), Bioengineering (80 citations), Materials Chemistry (284 citations), Electrical and Electronic Engineering (336 citations) and Polymers and Plastics (55 citations). Yingyi Wen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Gang Xu, Wenhua Li, Guan‐E Wang, Xiao‐Liang Ye, Yanyan Fang, Weihua Deng, Zhihua Fu, Yu‐Heng Deng, Wen‐Long Xue and Lu Wang. Their work appears in journals such as Angewandte Chemie International Edition, Nano Letters, Advanced Electronic Materials, Nature Communications and Advanced Materials.
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.