Guangfu Bin

1.6k total citations · 2 hit papers
62 papers, 1.1k citations indexed

About

Guangfu Bin is a scholar working on Control and Systems Engineering, Mechanical Engineering and Ecological Modeling. According to data from OpenAlex, Guangfu Bin has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 25 papers in Mechanical Engineering and 13 papers in Ecological Modeling. Recurrent topics in Guangfu Bin's work include Tribology and Lubrication Engineering (14 papers), Gear and Bearing Dynamics Analysis (13 papers) and Machine Fault Diagnosis Techniques (13 papers). Guangfu Bin is often cited by papers focused on Tribology and Lubrication Engineering (14 papers), Gear and Bearing Dynamics Analysis (13 papers) and Machine Fault Diagnosis Techniques (13 papers). Guangfu Bin collaborates with scholars based in China, Canada and United Kingdom. Guangfu Bin's 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 and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Heat and Mass Transfer and IEEE Access.

In The Last Decade

Guangfu Bin

58 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network

2011 420 citations Guangfu Bin et al. Mechanical Systems and Signal Processing profile →
Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling

2024 75 citations Guangfu Bin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Guangfu Bin China	17	637	588	292	126	112	62	1.1k
Shijing Wu China	14	396 0.6×	332 0.6×	125 0.4×	197 1.6×	34 0.3×	62	854
Mileta Tomovic United States	18	482 0.8×	528 0.9×	179 0.6×	43 0.3×	142 1.3×	83	1.1k
Zhongbin Wang China	19	230 0.4×	517 0.9×	164 0.6×	196 1.6×	91 0.8×	102	1.1k
S. S. Dhami India	17	418 0.7×	521 0.9×	258 0.9×	67 0.5×	20 0.2×	57	852
Peng Wu China	22	209 0.3×	704 1.2×	637 2.2×	312 2.5×	162 1.4×	92	1.2k
Shuangwen Sheng United States	19	797 1.3×	624 1.1×	283 1.0×	201 1.6×	49 0.4×	73	1.3k
Hang Wu China	16	205 0.3×	237 0.4×	125 0.4×	134 1.1×	24 0.2×	42	790
Yang Zhao-jian China	17	262 0.4×	360 0.6×	165 0.6×	159 1.3×	43 0.4×	60	726
Mir Saeed Safizadeh Iran	17	315 0.5×	463 0.8×	352 1.2×	139 1.1×	50 0.4×	45	848
Anhua Chen China	14	98 0.2×	322 0.5×	76 0.3×	198 1.6×	61 0.5×	44	608

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-authorship network of co-authors of Guangfu Bin

This figure shows the co-authorship network connecting the top 25 collaborators of Guangfu Bin. A scholar is included among the top collaborators of Guangfu Bin 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 Guangfu Bin. Guangfu Bin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bin, Guangfu, et al.. (2025). Vibration and noise reduction of axial piston pump based on negative capacitance piezoelectric phononic crystal structure. Physics of Fluids. 37(4). 1 indexed citations

Li, Chao, et al.. (2024). Study on ice impact damage characteristics of turboshaft engine compressor blade considering centrifugal force. Engineering Failure Analysis. 169. 109171–109171. 2 indexed citations

Pan, Xin, et al.. (2024). Real-Time Intelligent Diagnosis of Co-frequency Vibration Faults in Rotating Machinery Based on Lightweight-Convolutional Neural Networks. Chinese Journal of Mechanical Engineering. 37(1). 4 indexed citations

Liu, Rui, et al.. (2024). Effect of Operating Speed on Turbocharger Compressor Blade Wear. Tribology Transactions. 67(3). 488–501. 1 indexed citations

Zhang, Da, et al.. (2024). Study of compressor blade wear pattern under transient acceleration. Physics of Fluids. 36(11). 1 indexed citations

Bin, Guangfu, et al.. (2024). Research on vibration reduction of rotor system with zoning control of oil-film clearance. Mechanical Systems and Signal Processing. 221. 111753–111753. 1 indexed citations

She, Chengqi, Guangfu Bin, Zhenpo Wang, & Lei Zhang. (2024). Influencing Factor-Decoupled Battery Aging Assessment for Real-World Electric Vehicles Based on Fusion of Fuzzy Logic and Neural Network. IEEE Transactions on Transportation Electrification. 11(1). 1405–1415. 11 indexed citations

Li, Xiang, et al.. (2024). Molecular dynamics simulation of aging properties in polymer materials: a review. Polymer Bulletin. 82(6). 1723–1753. 5 indexed citations

Bin, Guangfu, et al.. (2024). Study on vibration suppression of an aero-engine rotor system with adjustable oil film thickness driven by piezoelectric actuator through critical speed. Tribology International. 193. 109447–109447. 8 indexed citations

10.

Bin, Guangfu, et al.. (2023). Study on erosion wear characteristics of aero-compressor blades considering distortion degree. Tribology International. 189. 108895–108895. 10 indexed citations

11.

Liu, Yitao, et al.. (2023). Hydrogen Permeability of Polyamide 6 Used as Liner Material for Type IV On-Board Hydrogen Storage Cylinders. Polymers. 15(18). 3715–3715. 23 indexed citations

12.

Chen, Anhua, et al.. (2023). Influence of SiO2 and Al2O3 particles on erosion wear of aero-compressor blades. Wear. 530-531. 204992–204992. 16 indexed citations

13.

Shi, Huaitao, et al.. (2023). Experimental analysis and modeling of subsurface cracks with random propagation for ceramic material on rolling contact fatigue. Engineering Failure Analysis. 155. 107753–107753. 6 indexed citations

14.

Bin, Guangfu, et al.. (2023). Vibration characteristics of turbocharger rotor system considering internal thread texture parameters of semi-floating ring bearing. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 237(9). 1796–1808. 5 indexed citations

15.

Ye, Jin, et al.. (2022). Reaming Useful Life Prediction of Bearings Based on CNN and Encoder Layers. 1–4. 1 indexed citations

16.

Bin, Guangfu, et al.. (2021). Effect of the inlet oil temperature on vibration characteristics of the high-speed turbocharger rotor system. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 235(10). 2086–2098. 11 indexed citations

17.

Bin, Guangfu, et al.. (2018). Investigation of Induced Unbalance Magnitude on Dynamic Characteristics of High-speed Turbocharger with Floating Ring Bearings. Chinese Journal of Mechanical Engineering. 31(1). 17 indexed citations

18.

Bin, Guangfu, et al.. (2015). Effects of unbalance location on dynamic characteristics of high-speed gasoline engine turbocharger with floating ring bearings. Chinese Journal of Mechanical Engineering. 29(2). 271–280. 23 indexed citations

19.

Bin, Guangfu, et al.. (2015). Effects of floating ring bearing manufacturing tolerance clearances on the dynamic characteristics for turbocharger. Chinese Journal of Mechanical Engineering. 28(3). 530–540. 29 indexed citations

20.

Bin, Guangfu. (2011). Weighted Multi-sensor Data Level Fusion Method of Vibration Signal Based on Correlation Function. Chinese Journal of Mechanical Engineering. 24(5). 899–899. 8 indexed citations

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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