Xiaoyuan Wang

557 citations
12 papers · 339 · h-index 4

Impact in

Papers in

Xiaoyuan Wang

9 papers receiving 310 citations

Peers

Xiaoyuan Wang
Comparison fields: 5 of 38
  • Artificial Intelligence 309
  • Computer Science Applications 32
  • Sociology and Political Science 158
  • Management Science and Operations Research 44
  • Health Informatics 3
Replace Peter‐Paul de Wolf with:
Peter‐Paul de Wolf Netherlands
Sarah Giessing Netherlands
Srivatsava Ranjit Ganta United States
Alberto Blanco-Justicia Spain
Ji-Won Byun United States
Frances Ann Hubis Switzerland
Xiaowei Mei Hong Kong
Mingshu Cong Hong Kong
Oana Cocarascu United Kingdom
Xiaoyuan Wang relative to Peter‐Paul de Wolf Netherlands Peter‐Paul de Wolf's profile →
Citations per field
00.5×1.5×2.4×
Peter‐Paul de Wolf · 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

12 of 12 papers shown
#Work
1 2006270
2 200651
3 20096
4 20094
5 20223
6 20192
7
Model Validation Technology in Microscopic Traffic Simulation
20051
8 20241
9 20241
10 20210
11 20250
12 20200

About Xiaoyuan Wang

Xiaoyuan Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computer Networks and Communications, having authored 12 papers that have together received 339 indexed citations. Recurring topics across this work include Image Enhancement Techniques (2 papers), Cryptography and Data Security (2 papers), Privacy-Preserving Technologies in Data (2 papers), Data Quality and Management (2 papers), Electric Vehicles and Infrastructure (1 paper), Fire Detection and Safety Systems (1 paper), Transportation and Mobility Innovations (1 paper) and Education and Work Dynamics (1 paper). The work is most often cited by research in Artificial Intelligence (309 citations), Computer Science Applications (32 citations), Sociology and Political Science (158 citations), Management Science and Operations Research (44 citations) and Health Informatics (3 citations). Xiaoyuan Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ada Wai-Chee Fu, Baile Shi, Jian Xu, Jian Pei, Wei Wang, Wei Wang, Yue Pan, Xingzhi Sun, Dharma P. Agrawal and Li Ma. Their work appears in journals such as Journal of Adolescent Health, Fuel, Proceedings of the VLDB Endowment, International Journal of Information Technologies and Systems Approach and Computer Engineering and Applications Journal.

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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