Huan Xu

1.4k citations
51 papers · 1.0k indexed · h-index 15
Topics
Robotic Path Planning Algorithms (11 papers)Autonomous Vehicle Technology and Safety (8 papers)Risk and Safety Analysis (7 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

Huan Xu

49 papers receiving 962 citations

Peers

Huan Xu
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 270
  • Control and Systems Engineering 234
  • Electrical and Electronic Engineering 186
  • Computational Theory and Mathematics 185
  • Aerospace Engineering 169
Replace James Kurien with:
James Kurien United States
Samuel Coogan United States
Alban Grastien Australia
Håkan L. S. Younes United States
Alexei Makarenko Australia
Lisane Brisolara Brazil
Andrea Paoli Italy
Xiaoping Zhu China
Martin Fränzle Germany
P. Pandurang Nayak United States
Huan Xu relative to James Kurien United States James Kurien's profile →
Citations per field
00.5×10×16×
James Kurien · 1×
Citations per year

Countries citing papers authored by Huan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Huan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Huan Xu. A scholar is included among the top collaborators of Huan Xu 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 Huan Xu. Huan Xu 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
#WorkIndexed citations
1 1
2 1
3 1
4 1
5 1
6 2
7 12
8 4
9 0
10 5
11 10
12 7
13 3
14 0
15 29
16 2
17 5
18 2
19 198
20
Decision Making Method on Partner Selection of ASC Based on AHP and TOPSIS
1

About Huan Xu

Huan Xu is a scholar working on Statistics, Probability and Uncertainty, Software and Safety, Risk, Reliability and Quality, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Autonomous Vehicle Technology and Safety (8 papers) and Risk and Safety Analysis (7 papers). The work is most often cited by research in Software (75 citations), Computer Vision and Pattern Recognition (270 citations) and Hardware and Architecture (86 citations). Huan Xu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Ufuk Topcu, Richard M. Murray, De-Shuang Huang, Ji‐Xiang Du, Laurent Heutte, Xiaofeng Wang, K. Mani Chandy, Steven H. Low, Necmiye Özay and Lina Castano. Their work appears in journals such as IEEE Access, Information Sciences and Signal Processing.

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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