Daoyuan Chen
Impact in
- Health Informatics top 10%
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Organic Electronics and Photovoltaics 6
-
- Topic Modeling 11
- Advanced Graph Neural Networks 8
- Privacy-Preserving Technologies in Data 7
- Cryptography and Data Security 4
- Co-authors
- Lei Han (5 shared papers)Feng Li (2 shared papers)Haijiao Zhang (1 shared paper)Yaliang Li (20 shared papers)Xiaoyan Lu (4 shared papers)Ying Shen (13 shared papers)Yuexiang Xie (8 shared papers)Jingwei Tian (1 shared paper)
- Journals
- Chemical Communications (3 papers)Proceedings of the VLDB Endowment (2 papers)Sustainability (2 papers)Drug Delivery (2 papers)Energy & Fuels (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Daoyuan Chen
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 134
- Health Informatics 12
- Polymers and Plastics 113
- Materials Chemistry 342
- Artificial Intelligence 233
- Biomaterials 85
Countries citing papers authored by Daoyuan Chen
This map shows the geographic impact of Daoyuan Chen'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 Daoyuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoyuan Chen more than expected).
Fields of papers citing papers by Daoyuan Chen
This network shows the impact of papers produced by Daoyuan Chen. 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 Daoyuan Chen. The network helps show where Daoyuan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoyuan Chen, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 281 | |
| 2 | 2023 | 76 | |
| 3 | 2023 | 54 | |
| 4 | 2024 | 53 | |
| 5 | 2018 | 50 | |
| 6 | 2023 | 38 | |
| 7 | 2020 | 33 | |
| 8 | 2020 | 30 | |
| 9 | 2019 | 26 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 23 | |
| 12 | 2023 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2021 | 21 | |
| 15 | 2017 | 19 | |
| 16 | 2019 | 19 | |
| 17 | 2023 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2018 | 15 |
About Daoyuan Chen
Daoyuan Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology, Materials Chemistry and Polymers and Plastics, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Advanced Graph Neural Networks (8 papers), Privacy-Preserving Technologies in Data (7 papers), Organic Electronics and Photovoltaics (6 papers), Alzheimer's disease research and treatments (6 papers), Conducting polymers and applications (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Health Informatics (12 citations), Polymers and Plastics (113 citations), Materials Chemistry (342 citations), Artificial Intelligence (233 citations) and Biomaterials (85 citations). Daoyuan Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Lei Han, Feng Li, Haijiao Zhang, Yaliang Li, Xiaoyan Lu, Ying Shen, Yuexiang Xie, Jingwei Tian, Min Yang and Bolin Ding. Their work appears in journals such as Chemical Communications, Proceedings of the VLDB Endowment, Sustainability, Drug Delivery and Energy & Fuels.
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.