Xiaohan Huang

424 total citations
15 papers, 229 citations indexed

About

Xiaohan Huang is a scholar working on Computational Theory and Mathematics, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Xiaohan Huang has authored 15 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 3 papers in Automotive Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Xiaohan Huang's work include Matrix Theory and Algorithms (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Complexity and Algorithms in Graphs (2 papers). Xiaohan Huang is often cited by papers focused on Matrix Theory and Algorithms (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Complexity and Algorithms in Graphs (2 papers). Xiaohan Huang collaborates with scholars based in China, United States and Germany. Xiaohan Huang's co-authors include Victor Y. Pan, Changming Wang, Xiaolong Zhang, Juan Huang, Lijuan Duan, Sha Sha, Yuanhua Qiao, Yi Zhang, Xuesong Wang and Joseph Fernandez and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Chemical & Engineering Data and Frontiers in Human Neuroscience.

In The Last Decade

Xiaohan Huang

11 papers receiving 211 citations

Peers

Xiaohan Huang
Comparison fields: 5 of 56
  • Computational Theory and Mathematics 113
  • Artificial Intelligence 64
  • Cognitive Neuroscience 57
  • Computer Networks and Communications 45
  • Cardiology and Cardiovascular Medicine 24
Replace Darren A. Narayan with:
Darren A. Narayan United States
Alessandro Muscoloni Germany
Mitsuhiro Okada Japan
C. E. Veni Madhavan India
Chung J. Kuo Taiwan
Kenneth W. Regan United States
Mitra Mirzarezaee Iran
Imran Javaid Pakistan
Costas S. Iliopoulos United Kingdom
Clifford Smyth United States
Darren A. Narayan United States View profile →
Citations per field, relative to Xiaohan Huang
Xiaohan Huang · 1×
Citations per year, relative to Xiaohan Huang
Xiaohan Huang · 1×

Countries citing papers authored by Xiaohan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohan Huang

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 0
6 12
7 3
8 62
9 1
10
KLATTSTAT: knowledge-based parametric speech synthesis.
6
11 124
12 6
13 9
14 3
15 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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