Xiaoyuan Wang

557 citations
16 papers · 433 · h-index 5

Impact in

Papers in

Xiaoyuan Wang

13 papers receiving 403 citations

Peers

Xiaoyuan Wang
Comparison fields: 5 of 43
  • Artificial Intelligence 392
  • Computer Science Applications 35
  • Management Science and Operations Research 58
  • Sociology and Political Science 203
  • Health Informatics 3
Replace Srivatsava Ranjit Ganta with:
Srivatsava Ranjit Ganta United States
Frances Ann Hubis Switzerland
Oana Cocarascu United Kingdom
Nicolás E. Bordenabe Australia
Zeshan Fayyaz Canada
Amirreza Masoumzadeh United States
Damien Desfontaines Switzerland
Scott Alfeld United States
Michaela Götz United States
Xiaoyuan Wang relative to Srivatsava Ranjit Ganta United States Srivatsava Ranjit Ganta's profile →
Citations per field
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Srivatsava Ranjit Ganta · 1×
Citations per year

Countries citing papers authored by Xiaoyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoyuan Wang, 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 Xiaoyuan Wang Line = papers co-authored together Xiaoyuan Wang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2006330
2 200665
3 200912
4 20098
5 20064
6 20094
7 20223
8 20192
9
Model Validation Technology in Microscopic Traffic Simulation
20051
10 20241
11 20241
12 20201
13 20131
14 20210
15 20250
16 20200

About Xiaoyuan Wang

Xiaoyuan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Management Science and Operations Research and Computer Networks and Communications, having authored 16 papers that have together received 433 indexed citations. Recurring topics across this work include Image Enhancement Techniques (3 papers), Data Quality and Management (3 papers), Cryptography and Data Security (2 papers), Service-Oriented Architecture and Web Services (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Semantic Web and Ontologies (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Artificial Intelligence (392 citations), Computer Science Applications (35 citations), Management Science and Operations Research (58 citations), Sociology and Political Science (203 citations) and Health Informatics (3 citations). Xiaoyuan Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jian Xu, Baile Shi, Jian Pei, Ada Wai-Chee Fu, Wei Wang, Wei Wang, Li Ma, Xingzhi Sun, Feng Cao and Yue Pan. Their work appears in journals such as Journal of Adolescent Health, Fuel, Proceedings of the VLDB Endowment, Lecture notes in computer science and International Journal of Information Technologies and Systems Approach.

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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