Ying Jiang
- Cognitive Neuroscience top 10%
- Control and Systems Engineering top 10%
- Applied Mathematics top 5%
- Numerical Analysis top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Yuesheng XuChung‐Kang PengTongxing LiHuang HuangXiaoyun XuXinde CaoAmit EtkinDavid Carreon
- Topics
- Differential Equations and Numerical Methods (7 papers)Electromagnetic Scattering and Analysis (6 papers)Numerical methods for differential equations (6 papers)
- Journals
- American Journal of PsychiatryThe Science of The Total EnvironmentJournal of Computational Physics
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Ying Jiang
52 papers receiving 738 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cognitive Neuroscience 178
- Control and Systems Engineering 101
- Applied Mathematics 98
- Numerical Analysis 95
- Experimental and Cognitive Psychology 90
Countries citing papers authored by Ying Jiang
This map shows the geographic impact of Ying Jiang'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 Ying Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Jiang more than expected).
Fields of papers citing papers by Ying Jiang
This network shows the impact of papers produced by Ying Jiang. 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 Ying Jiang. The network helps show where Ying Jiang may publish in the future.
Co-authorship network of co-authors of Ying Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Jiang. A scholar is included among the top collaborators of Ying Jiang 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 Ying Jiang. Ying Jiang 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 | 5 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | Diversity and Evolution of Urushiol in Anacardiaceae | 2 |
| 8 | 10 | |
| 9 | 101 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 10 | |
| 16 | 100 | |
| 17 | 27 | |
| 18 | 22 | |
| 19 | Determination of TORCH specific IgM in 2 364 pregnant women in Shenzhen City | 1 |
| 20 | Software Architecture and UML | 0 |
About Ying Jiang
Ying Jiang is a scholar working on Numerical Analysis, Applied Mathematics and Statistical and Nonlinear Physics, having authored 62 papers that have together received 769 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (7 papers), Electromagnetic Scattering and Analysis (6 papers) and Numerical methods for differential equations (6 papers). The work is most often cited by research in Numerical Analysis (95 citations), Applied Mathematics (98 citations) and Cognitive Neuroscience (178 citations). Ying Jiang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Yuesheng Xu, Chung‐Kang Peng, Tongxing Li, Huang Huang, Xiaoyun Xu, Xinde Cao, Amit Etkin, David Carreon, Christina F. Chick and Lisa M. McTeague. Their work appears in journals such as American Journal of Psychiatry, The Science of The Total Environment and Journal of Computational Physics.
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.