XU Ya

435 total citations
26 papers, 137 citations indexed

About

XU Ya is a scholar working on Organic Chemistry, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, XU Ya has authored 26 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Organic Chemistry, 3 papers in Pathology and Forensic Medicine and 3 papers in Artificial Intelligence. Recurrent topics in XU Ya's work include Geophysical and Geoelectrical Methods (2 papers), Advanced Computational Techniques and Applications (2 papers) and Parasitic infections in humans and animals (2 papers). XU Ya is often cited by papers focused on Geophysical and Geoelectrical Methods (2 papers), Advanced Computational Techniques and Applications (2 papers) and Parasitic infections in humans and animals (2 papers). XU Ya collaborates with scholars based in China, United States and Japan. XU Ya's co-authors include Hua Feng, Min Xia, Jie Lin, Peiwen Guo, Xin Liu, Yujie Chen, Yuan Cao, Rong Li, Lei Xu and Xiaoding Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and Ecotoxicology and Environmental Safety.

In The Last Decade

XU Ya

21 papers receiving 134 citations

Peers

XU Ya
Comparison fields: 5 of 88
  • Neurology 30
  • Molecular Biology 29
  • Neurology 25
  • Biomedical Engineering 15
  • Biomaterials 14
Replace Heng Zhao with:
Heng Zhao China
Mila Borri Netherlands
Laia Foradada Spain
Yiyao Cao China
Kathleen Sommer Germany
Yutaka Kawahara Japan
Xiaopeng Xia China
Jenna Leser United States
Ruihua Sun China
Shuo An China
Heng Zhao China View profile →
Citations per field, relative to XU Ya
XU Ya · 1×
Citations per year, relative to XU Ya
XU Ya · 1×

Countries citing papers authored by XU Ya

Since Specialization
Citations

This map shows the geographic impact of XU Ya'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 XU Ya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites XU Ya more than expected).

Fields of papers citing papers by XU Ya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by XU Ya. 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 XU Ya. The network helps show where XU Ya may publish in the future.

Co-authorship network of co-authors of XU Ya

This figure shows the co-authorship network connecting the top 25 collaborators of XU Ya. A scholar is included among the top collaborators of XU Ya 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 XU Ya. XU Ya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 3
5 56
6 0
7 0
8 4
9 4
10 4
11 2
12 1
13 4
14
Molecular dynamics simulation of water molecules adsorbed at muscovite (001) surface
4
15
On a result due to Yang and Schwick
0
16
Design and Use of Flow Chamber for Fluid Shear Stress on Cells in Vitro
1
17 10
18
Review of wavelet transform in potential field
2
19
An Algorithm for Computing Voronoi Diagrams for Multi-connected Domain
3
20
Simplification of 3D terrain models of highway
0

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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