Xiaoxi Hu

947 citations
48 papers · 526 · h-index 13

Impact in

Papers in

Xiaoxi Hu

36 papers receiving 521 citations

Peers

Xiaoxi Hu
Comparison fields: 5 of 71
  • Control and Systems Engineering 199
  • Industrial and Manufacturing Engineering 72
  • Civil and Structural Engineering 93
  • Safety, Risk, Reliability and Quality 28
  • Mechanical Engineering 108
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoxi Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxi Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoxi Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoxi Hu Line = papers co-authored together Xiaoxi Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202372
2 202160
3 202251
4 202347
5 202429
6 202328
7 202327
8 201724
9 202120
10 202318
11
Multi-objective optimization using dynamic neighborhood particle swarm optimization
200215
12 202513
13 202412
14 201212
15 201910
16 20249
17 20239
18 20248
19 20258
20
Predictive Eye Estimation Regression (PEER) for Simultaneous Eye Tracking and fMRI
20067

About Xiaoxi Hu

Xiaoxi Hu is a scholar working on Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 48 papers that have together received 526 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (11 papers), Fault Detection and Control Systems (5 papers), Risk and Safety Analysis (4 papers), Railway Systems and Energy Efficiency (3 papers), Infrastructure Maintenance and Monitoring (3 papers), Oil and Gas Production Techniques (3 papers), Occupational Health and Safety Research (3 papers) and Railway Engineering and Dynamics (3 papers). The work is most often cited by research in Control and Systems Engineering (199 citations), Industrial and Manufacturing Engineering (72 citations), Civil and Structural Engineering (93 citations), Safety, Risk, Reliability and Quality (28 citations) and Mechanical Engineering (108 citations). Xiaoxi Hu has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Tao Tang, Yuan Cao, Yongkui Sun, Dajun Yuan, Xiaohan Chen, Xin Feng, Yang Liu, Tao Wen, Fei Chen and Jiandong Yang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Advanced Engineering Informatics, Measurement Science and Technology, IEEE Transactions on Intelligent Transportation Systems and Foods.

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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