Xiao Wang

11.2k total citations · 5 hit papers
394 papers, 7.3k citations indexed

About

Xiao Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Xiao Wang has authored 394 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Artificial Intelligence, 67 papers in Computer Vision and Pattern Recognition and 57 papers in Electrical and Electronic Engineering. Recurrent topics in Xiao Wang's work include Autonomous Vehicle Technology and Safety (32 papers), Traffic Prediction and Management Techniques (30 papers) and Advanced Neural Network Applications (26 papers). Xiao Wang is often cited by papers focused on Autonomous Vehicle Technology and Safety (32 papers), Traffic Prediction and Management Techniques (30 papers) and Advanced Neural Network Applications (26 papers). Xiao Wang collaborates with scholars based in China, United States and Macao. Xiao Wang's co-authors include Fei‐Yue Wang, Yisheng Lv, Jun Jason Zhang, Yong Yuan, Lingxi Li, Yuanyuan Chen, Fenghua Zhu, Gang Xiong, Xinhu Zheng and Lixu Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Xiao Wang

346 papers receiving 7.1k citations

Hit Papers

Characterizing the Propagation of Situational Information... 2018 2026 2020 2023 2020 2019 2018 2022 2022 50 100 150 200 250

Peers

Xiao Wang
Comparison fields: 5 of 191
  • Artificial Intelligence 1.8k
  • Information Systems 1.1k
  • Electrical and Electronic Engineering 1.0k
  • Computer Vision and Pattern Recognition 955
  • Control and Systems Engineering 952
Replace Wei Wang with:
Wei Wang China
Xin Xu China
José A. Lozano Spain
Rui Wang China
Jianping Wang China
Javier Del Ser Spain
Wei Wei China
Hengshu Zhu China
Xi Chen China
Wei‐Chiang Hong Taiwan
Wei Wang China View profile →
Citations per field, relative to Xiao Wang
Xiao Wang · 1×
Citations per year, relative to Xiao Wang
Xiao Wang · 1×

Countries citing papers authored by Xiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Wang. A scholar is included among the top collaborators of Xiao Wang 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 Xiao Wang. Xiao Wang 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 9
2 2
3 0
4 0
5 10
6 1
7 2
8 4
9 1
10 0
11 7
12 6
13 39
14 16
15 8
16 33
17
Whose Spatial Ability Benefits from Learning with 3D Design? From the Perspective of Learning Analysis
6
18 10
19 6
20 73

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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