Hui Guo

228 papers receiving 2.7k citations

Peers

Hui Guo
Comparison fields: 5 of 137
  • Automotive Engineering 835
  • Speech and Hearing 178
  • Signal Processing 184
  • Control and Systems Engineering 372
  • Mechanical Engineering 569
Replace Francesco Braghin with:
Francesco Braghin Italy
Yat Sze Choy Hong Kong
Jie Liu China
Jie Pan Australia
Reza N. Jazar Australia
Yifeng Li China
Antonio Piccolo Italy
Ercan M. Dede United States
Hui Guo relative to Francesco Braghin Italy Francesco Braghin's profile →
Citations per field
00.5×4.3×
Francesco Braghin · 1×
Citations per year

Countries citing papers authored by Hui Guo

Since Specialization
Citations

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

Fields of papers citing papers by Hui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Guo, 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 Hui Guo Line = papers co-authored together Hui Guo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 266 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017145
2 2017135
3 2007100
4 200978
5 201977
6 200775
7 200971
8 201169
9 202062
10 200853
11 201352
12 201852
13 201648
14 201543
15 202042
16 202338
17 200935
18 201035
19 202034
20 202033

About Hui Guo

Hui Guo is a scholar working on Automotive Engineering, Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 266 papers that have together received 2.8k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (46 papers), Vehicle Noise and Vibration Control (32 papers), Noise Effects and Management (20 papers), Advanced Sensor and Control Systems (14 papers), Parallel Computing and Optimization Techniques (14 papers), Embedded Systems Design Techniques (14 papers), Aerodynamics and Acoustics in Jet Flows (12 papers) and Advanced Algorithms and Applications (12 papers). The work is most often cited by research in Automotive Engineering (835 citations), Speech and Hearing (178 citations), Signal Processing (184 citations), Control and Systems Engineering (372 citations) and Mechanical Engineering (569 citations). Hui Guo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Min Ye, Y.S. Wang, Xiaolan Wang, Binggang Cao, Dahui Wang, Yao Shi, Rui Xiong, K. Woodbridge, Tao Yuan and Yansong Wang. Their work appears in journals such as Applied Acoustics, Mechanical Systems and Signal Processing, Noise Control Engineering Journal, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering and Mechanics of Advanced Materials and Structures.

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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