Xiaohong Wang

723 citations
50 papers · 526 indexed · h-index 14
Topics
Reliability and Maintenance Optimization (16 papers)Software Reliability and Analysis Research (9 papers)Distributed Control Multi-Agent Systems (8 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xiaohong Wang

45 papers receiving 502 citations

Peers

Xiaohong Wang
Comparison fields: 5 of 71
  • Computer Networks and Communications 151
  • Control and Systems Engineering 107
  • Electrical and Electronic Engineering 107
  • Automotive Engineering 103
  • Safety, Risk, Reliability and Quality 89
Replace Jianfei Zheng with:
Jianfei Zheng China
Zili Wang China
Allan Seabridge United Kingdom
Ian Moir United Kingdom
Liang Chang China
Dezhen Yang China
Mileta Tomovic United States
Inseok Park South Korea
T.S. Liu Taiwan
Xiaohong Wang relative to Jianfei Zheng China Jianfei Zheng's profile →
Citations per field
00.5×1.5×
Jianfei Zheng · 1×
Citations per year

Countries citing papers authored by Xiaohong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Wang. A scholar is included among the top collaborators of Xiaohong 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 Xiaohong Wang. Xiaohong 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
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 2
6 8
7 24
8 9
9 74
10 3
11 23
12 5
13 9
14 3
15 1
16 0
17 3
18 41
19 1
20 1

About Xiaohong Wang

Xiaohong Wang is a scholar working on Software, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty, having authored 50 papers that have together received 526 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (16 papers), Software Reliability and Analysis Research (9 papers) and Distributed Control Multi-Agent Systems (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (89 citations), Statistics, Probability and Uncertainty (62 citations) and Automotive Engineering (103 citations). Xiaohong Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huaiqin Wu, Jinde Cao, Lizhi Wang, Lizhi Wang, Lizhi Wang, Zhuo Wang, Rong Pan, Yao Mu, Xuejiao Zhao and Yuan Zhang. Their work appears in journals such as PLoS ONE, Journal of Power Sources and Sensors.

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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