Xiaokai Huang

451 total citations · 1 hit paper
8 papers, 297 citations indexed

About

Xiaokai Huang is a scholar working on Health, Toxicology and Mutagenesis, Building and Construction and Artificial Intelligence. According to data from OpenAlex, Xiaokai Huang has authored 8 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health, Toxicology and Mutagenesis, 3 papers in Building and Construction and 2 papers in Artificial Intelligence. Recurrent topics in Xiaokai Huang's work include Urban Green Space and Health (3 papers), Building Energy and Comfort Optimization (2 papers) and Geothermal Energy Systems and Applications (2 papers). Xiaokai Huang is often cited by papers focused on Urban Green Space and Health (3 papers), Building Energy and Comfort Optimization (2 papers) and Geothermal Energy Systems and Applications (2 papers). Xiaokai Huang collaborates with scholars based in China, Japan and United States. Xiaokai Huang's co-authors include Waishan Qiu, Wenjing Li, Xun Liu, Ziye Zhang, Xiaojiang Li, Xun Liu, Jiying Liu, Linhua Zhang, Liang Li and Shuyu Zhang and has published in prestigious journals such as IEEE Access, Landscape and Urban Planning and Cities.

In The Last Decade

Xiaokai Huang

7 papers receiving 287 citations

Hit Papers

Subjective or objective measures of street environment, w... 2022 2026 2023 2024 2022 40 80 120

Peers

Xiaokai Huang
Comparison fields: 5 of 56
  • Global and Planetary Change 123
  • Transportation 120
  • Health, Toxicology and Mutagenesis 118
  • Building and Construction 83
  • Speech and Hearing 45
Replace Joy Sen with:
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Joy Sen India View profile →
Citations per field, relative to Xiaokai Huang
Xiaokai Huang · 1×
Citations per year, relative to Xiaokai Huang
Xiaokai Huang · 1×

Countries citing papers authored by Xiaokai Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokai Huang

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 0
2 5
3 72
4
Subjective or objective measures of street environment, which are more effective in explaining housing prices? breakdown →
137
5 52
6 24
7 5
8 2

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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