Xiaoyang Wang

629 citations
5 papers · 423 indexed · 1 hit paper · h-index 4
Topics
Geothermal Energy Systems and Applications (3 papers)Climate change and permafrost (2 papers)Building Energy and Comfort Optimization (1 paper)
Partner nations
ChinaJapanUnited States

In The Last Decade

Xiaoyang Wang

4 papers receiving 416 citations

Hit Papers

Traffic Flow Prediction via Spatial Temporal Graph Neural...20202026202220242020100200300

Peers

Xiaoyang Wang
Comparison fields: 5 of 60
  • Building and Construction 260
  • Transportation 187
  • Control and Systems Engineering 106
  • Artificial Intelligence 98
  • Signal Processing 78
Replace Mauro Annunziato with:
Mauro Annunziato Italy
Wilhelm Kleiminger Switzerland
Howard R. Kirby United Kingdom
Shuyan Chen China
Colin Singleton United Kingdom
Xianglong Luo China
Hüseyin Ceylan Türkiye
Niklas Petersen Germany
Xiaoyang Wang relative to Mauro Annunziato Italy Mauro Annunziato's profile →
Citations per field
00.5×9.9×
Mauro Annunziato · 1×
Citations per year

Countries citing papers authored by Xiaoyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyang Wang

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 3
2 0
3 21
4 16
5
Traffic Flow Prediction via Spatial Temporal Graph Neural Networkbreakdown →
383

About Xiaoyang Wang

Xiaoyang Wang is a scholar working on Building and Construction, Renewable Energy, Sustainability and the Environment and Transportation, having authored 5 papers that have together received 423 indexed citations. Recurring topics across this work include Geothermal Energy Systems and Applications (3 papers), Climate change and permafrost (2 papers) and Building Energy and Comfort Optimization (1 paper). The work is most often cited by research in Transportation (187 citations), Building and Construction (260 citations) and Signal Processing (78 citations). Xiaoyang Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yao Ma, Wei Jin, Xin Wang, Yiqi Wang, Jiliang Tang, Jian Yu, Caiyan Jia, Weijun Gao, Tongyu Xu and Haolin Yang. Their work appears in journals such as Energy Conversion and Management, Sustainable Cities and Society and Process Safety and Environmental Protection.

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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