Yingyuan Chen
- Materials Chemistry
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Inorganic Chemistry top 10%
- Health, Toxicology and Mutagenesis
- Topics
- Neural dynamics and brain function (8 papers)Luminescence Properties of Advanced Materials (8 papers)Inorganic Fluorides and Related Compounds (4 papers)
- Journals
- Angewandte Chemie International EditionChemical Engineering JournalInternational Journal of Environmental Research and Public Health
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Yingyuan Chen
32 papers receiving 509 citations
Peers
Comparison fields: 5 of 86
- Materials Chemistry 250
- Electrical and Electronic Engineering 142
- Cognitive Neuroscience 104
- Inorganic Chemistry 103
- Health, Toxicology and Mutagenesis 57
Countries citing papers authored by Yingyuan Chen
This map shows the geographic impact of Yingyuan 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 Yingyuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingyuan Chen more than expected).
Fields of papers citing papers by Yingyuan Chen
This network shows the impact of papers produced by Yingyuan 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 Yingyuan Chen. The network helps show where Yingyuan Chen may publish in the future.
Co-authorship network of co-authors of Yingyuan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yingyuan Chen. A scholar is included among the top collaborators of Yingyuan Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingyuan Chen. Yingyuan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 25 | |
| 5 | 3 | |
| 6 | 19 | |
| 7 | 27 | |
| 8 | 95 | |
| 9 | 69 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 54 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | Particle swarm optimization of periodic deep brain stimulation waveforms | 2 |
| 20 | On neural network training algorithm based on the unscented Kalman filter | 4 |
About Yingyuan Chen
Yingyuan Chen is a scholar working on Finance, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 34 papers that have together received 517 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Luminescence Properties of Advanced Materials (8 papers) and Inorganic Fluorides and Related Compounds (4 papers). The work is most often cited by research in Inorganic Chemistry (103 citations), Materials Chemistry (250 citations) and Cognitive Neuroscience (104 citations). Yingyuan Chen has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jiang Wang, Mingmei Wu, Jianbang Zhou, Bojana Milićević, Haitao Yu, Jing Yan, Bin Deng, Lihui Cai, И.А. Бобриков and Мaxim S. Моlokeev. Their work appears in journals such as Angewandte Chemie International Edition, Chemical Engineering Journal and International Journal of Environmental Research and Public Health.
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.