Xiaoying Wu

743 total citations
40 papers, 419 citations indexed

About

Xiaoying Wu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Xiaoying Wu has authored 40 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 13 papers in Signal Processing. Recurrent topics in Xiaoying Wu's work include Advanced Database Systems and Queries (13 papers), Data Management and Algorithms (13 papers) and Semantic Web and Ontologies (11 papers). Xiaoying Wu is often cited by papers focused on Advanced Database Systems and Queries (13 papers), Data Management and Algorithms (13 papers) and Semantic Web and Ontologies (11 papers). Xiaoying Wu collaborates with scholars based in China, United States and Greece. Xiaoying Wu's co-authors include Dimitri Theodoratos, Mong Li Lee, Wynne Hsu, Mary Regina Boland, Jake Luo, Chunhua Weng, Stephen B. Johnson, Xiaohong Zhang, Timos Sellis and Hui Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Journal of Mathematical Analysis and Applications.

In The Last Decade

Xiaoying Wu

37 papers receiving 395 citations

Peers

Xiaoying Wu
Comparison fields: 5 of 70
  • Artificial Intelligence 208
  • Computer Networks and Communications 202
  • Signal Processing 164
  • Molecular Biology 85
  • Management Science and Operations Research 67
Replace Dimitri Theodoratos with:
Dimitri Theodoratos United States
Irini Fundulaki Greece
Weifeng Su China
Rada Chirkova United States
Lujun Fang China
Vojtěch Svátek Czechia
Chedy Raïssi France
Trilce Estrada United States
Troels Andreasen Denmark
Marc Maier United States
Dimitri Theodoratos United States View profile →
Citations per field, relative to Xiaoying Wu
Xiaoying Wu · 1×
Citations per year, relative to Xiaoying Wu
Xiaoying Wu · 1×

Countries citing papers authored by Xiaoying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Wu. A scholar is included among the top collaborators of Xiaoying Wu 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 Xiaoying Wu. Xiaoying Wu 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 1
3 0
4 0
5 1
6 2
7 1
8 1
9 2
10 1
11 4
12 1
13 3
14
The Optimization Algorithm of Wireless Sensor Network Node Based on Improved Ant Colony
10
15 106
16 3
17 1
18
Poverty alleviation in China: A lesson for the developing world?
20
19 7
20
NF-SS: A Normal Form for Semistructured Schema
1

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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