Guangfu Bin

1.6k citations
62 papers · 1.1k · 2 hit papers · h-index 17

Impact in

Papers in

Guangfu Bin

58 papers receiving 1.1k citations

Guangfu Bin's Hit Papers

Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling 2024 · 75 citations
750+5+10Years since publication100200300400

Peers

Guangfu Bin
Comparison fields: 5 of 91
  • Control and Systems Engineering 637
  • Ecological Modeling 100
  • Mechanical Engineering 588
  • Mechanics of Materials 292
  • Ocean Engineering 112
Replace Shijing Wu with:
Shijing Wu China
Peng Wu China
Zhongbin Wang China
Mileta Tomovic United States
S. S. Dhami India
Anhua Chen China
В. Д. Калыанкар India
Boško Rašuo Serbia
Chul Ki Song South Korea
Wenhui Li China
Guangfu Bin relative to Shijing Wu China Shijing Wu's profile →
Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Guangfu Bin

Since Specialization
Citations

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

Fields of papers citing papers by Guangfu Bin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network
Hit paper breakdown →
2011420
2
Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling
Hit paper breakdown →
202475
3 202268
4 202351
5 202144
6 202338
7 201529
8 202228
9 201523
10 202323
11 201823
12 201719
13 201817
14 202317
15 202317
16 202316
17 201416
18 201014
19 202312
20 202111

About Guangfu Bin

Guangfu Bin is a scholar working on Control and Systems Engineering, Mechanical Engineering, Ecological Modeling, Aerospace Engineering and Mechanics of Materials, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (14 papers), Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (13 papers), Erosion and Abrasive Machining (12 papers), High-Temperature Coating Behaviors (10 papers), Particle Dynamics in Fluid Flows (10 papers), Magnetic Bearings and Levitation Dynamics (10 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (637 citations), Ecological Modeling (100 citations), Mechanical Engineering (588 citations), Mechanics of Materials (292 citations) and Ocean Engineering (112 citations). Guangfu Bin has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include B.S. Dhillon, X.J. Li, Jin Ji Gao, Xuejun Li, Yanfeng Peng, Jian Li, Sai Li, Yiping Shen, Anhua Chen and Chao Li. Their work appears in journals such as Mechanical Systems and Signal Processing, Tribology International, Chinese Journal of Mechanical Engineering, IEEE Sensors Journal and Engineering Failure Analysis.

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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