Ying Jiang

1.1k citations
62 papers · 769 indexed · 1 hit paper · h-index 12

Ying Jiang

52 papers receiving 738 citations

Hit Papers

Identification of Common Neural Circuit Disruptions in Em...211202020262022202450100150200

Peers

Ying Jiang
Comparison fields: 5 of 122
  • Numerical Analysis 95
  • Applied Mathematics 98
  • Cognitive Neuroscience 178
  • Experimental and Cognitive Psychology 90
  • Health, Toxicology and Mutagenesis 87
Replace Dietrich von Rosen with:
Dietrich von Rosen Sweden
Jianfeng Zhang China
Weiping Shi United States
Ana‐Maria Staicu United States
R. Biscay Cuba
Lizhen Lin United States
Deepmala Deepmala India
Claus Wagner Germany
William Hamilton United States
Ying Jiang relative to Dietrich von Rosen Sweden Dietrich von Rosen's profile →
Citations per field
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Dietrich von Rosen · 1×
Citations per year

Countries citing papers authored by Ying Jiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Ying Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ying Jiang Line = papers co-authored together Ying Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 20234
4 20221
5 20211
6 20208
7
Diversity and Evolution of Urushiol in Anacardiaceae
20192
8 201710
9 2017101
10 201612
11 20142
12 201425
13 20131
14 201316
15 201110
16 2011100
17 201027
18 200922
19
Determination of TORCH specific IgM in 2 364 pregnant women in Shenzhen City
20061
20
Software Architecture and UML
20050

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), Numerical methods for differential equations (6 papers), Nonlinear Differential Equations Analysis (5 papers), Electromagnetic Simulation and Numerical Methods (5 papers), Numerical methods in engineering (5 papers), Advanced Graph Neural Networks (4 papers) and Image and Signal Denoising Methods (4 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.

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