Fanrang Kong

2.8k total citations
71 papers, 2.4k citations indexed

About

Fanrang Kong is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Fanrang Kong has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Control and Systems Engineering, 24 papers in Mechanical Engineering and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in Fanrang Kong's work include Machine Fault Diagnosis Techniques (43 papers), Gear and Bearing Dynamics Analysis (21 papers) and stochastic dynamics and bifurcation (18 papers). Fanrang Kong is often cited by papers focused on Machine Fault Diagnosis Techniques (43 papers), Gear and Bearing Dynamics Analysis (21 papers) and stochastic dynamics and bifurcation (18 papers). Fanrang Kong collaborates with scholars based in China, Hong Kong and United States. Fanrang Kong's co-authors include Qingbo He, Siliang Lu, Jun Wang, Changqing Shen, Haibin Zhang, Peter W. Tse, Dong Wang, Fei Hu, Yongbin Liu and Ruqiang Yan and has published in prestigious journals such as Sensors, Journal of Sound and Vibration and Mechanical Systems and Signal Processing.

In The Last Decade

Fanrang Kong

71 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanrang Kong China 31 1.6k 1.0k 638 539 430 71 2.4k
Jimeng Li China 28 1.5k 1.0× 991 1.0× 465 0.7× 353 0.7× 271 0.6× 84 2.4k
Zijian Qiao China 20 824 0.5× 496 0.5× 772 1.2× 528 1.0× 176 0.4× 71 1.8k
Niaoqing Hu China 24 1.1k 0.7× 897 0.9× 196 0.3× 148 0.3× 274 0.6× 132 1.8k
A.Y.T. Leung Hong Kong 29 838 0.5× 432 0.4× 409 0.6× 146 0.3× 1.1k 2.6× 137 2.6k
Dongying Han China 21 509 0.3× 281 0.3× 610 1.0× 400 0.7× 69 0.2× 64 1.2k
Rama K. Yedavalli United States 25 1.6k 1.0× 213 0.2× 169 0.3× 171 0.3× 143 0.3× 164 2.2k
Raymond A. de Callafon United States 21 1.1k 0.7× 280 0.3× 64 0.1× 153 0.3× 366 0.9× 160 1.7k
Tohru Katayama Japan 19 1.8k 1.1× 193 0.2× 154 0.2× 194 0.4× 378 0.9× 147 2.2k
Wen‐Juan Lin China 20 701 0.4× 181 0.2× 447 0.7× 194 0.4× 185 0.4× 42 1.7k
H. Unbehauen Germany 26 2.7k 1.7× 398 0.4× 155 0.2× 118 0.2× 312 0.7× 170 3.1k

Countries citing papers authored by Fanrang Kong

Since Specialization
Citations

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

Fields of papers citing papers by Fanrang Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanrang Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Fanrang Kong. A scholar is included among the top collaborators of Fanrang Kong 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 Fanrang Kong. Fanrang Kong 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
1.
Zhang, Haibin, Wei Xiong, Shangbin Zhang, Qingbo He, & Fanrang Kong. (2016). Nonstationary weak signal detection based on normalization stochastic resonance with varying parameters. Sadhana. 41(6). 621–632. 10 indexed citations
2.
Zhang, Shangbin, Siliang Lu, Qingbo He, & Fanrang Kong. (2016). Time-varying singular value decomposition for periodic transient identification in bearing fault diagnosis. Journal of Sound and Vibration. 379. 213–231. 61 indexed citations
3.
Zhang, Haibin, et al.. (2016). Weak impulsive signals detection based on step-varying asymmetric stochastic resonance. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 231(2). 242–262. 9 indexed citations
4.
Lu, Siliang, et al.. (2015). Periodic fault signal enhancement in rotating machine vibrations via stochastic resonance. Journal of Vibration and Control. 22(20). 4227–4246. 30 indexed citations
5.
Wang, Jun, Qingbo He, & Fanrang Kong. (2014). Multiscale envelope manifold for enhanced fault diagnosis of rotating machines. Mechanical Systems and Signal Processing. 52-53. 376–392. 40 indexed citations
6.
Liu, Fang, Qingbo He, Fanrang Kong, & Yongbin Liu. (2014). Doppler effect reduction based on time-domain interpolation resampling for wayside acoustic defective bearing detector system. Mechanical Systems and Signal Processing. 46(2). 253–271. 40 indexed citations
7.
Wang, Chao, Fanrang Kong, Qingbo He, Fei Hu, & Fang Liu. (2014). Doppler Effect removal based on instantaneous frequency estimation and time domain re-sampling for wayside acoustic defective bearing detector system. Measurement. 50. 346–355. 29 indexed citations
8.
He, Qingbo, Jun Wang, Fei Hu, & Fanrang Kong. (2013). Wayside acoustic diagnosis of defective train bearings based on signal resampling and information enhancement. Journal of Sound and Vibration. 332(21). 5635–5649. 90 indexed citations
9.
Wang, Jun, Qingbo He, & Fanrang Kong. (2012). Time-scale manifold and its ridge analysis for machine fault diagnosis. 290. 1–7. 1 indexed citations
10.
Xia, Min, Fanrang Kong, & Fei Hu. (2011). An approach for bearing fault diagnosis based on PCA and multiple classifier fusion. 321–325. 19 indexed citations
11.
He, Qingbo, et al.. (2011). Bearing defect diagnosis by stochastic resonance with parameter tuning. 17. 1–5. 3 indexed citations
12.
Huang, Weiguo, et al.. (2010). Extracting Power Transformer Vibration Features by a Time-Scale-Frequency Analysis Method. Journal of Electromagnetic Analysis and Application. 2(1). 31–38. 16 indexed citations
13.
Kong, Fanrang, et al.. (2010). Facial feature point extraction using a new improved Active Shape Model. 2010 3rd International Congress on Image and Signal Processing. 944–948. 10 indexed citations
14.
Feng, Zhihua, et al.. (2009). Static and dynamic analysis of a four-tube piezoelectric actuator. Review of Scientific Instruments. 80(6). 3 indexed citations
15.
Huang, Weiguo, et al.. (2009). Blind Source Separation for Convolutive Mixtures and Its Application to Machine Vibrations. 598–601. 2 indexed citations
16.
Shang, Weiwei, Shuang Cong, & Fanrang Kong. (2009). Identification of dynamic and friction parameters of a parallel manipulator with actuation redundancy. Mechatronics. 20(2). 192–200. 30 indexed citations
17.
He, Qingbo, Ruxu Du, & Fanrang Kong. (2008). ICA Based Feature Extraction from One-Dimensional Signal for Machine Condition Monitoring. 3. 1690–1694. 2 indexed citations
18.
Guan, Ke, Tao Mei, Fanrang Kong, & Xiaofeng Li. (2007). Fractal Object Generation Based on CAD and CAM. 1. 2210–2215. 1 indexed citations
19.
Zhang, Sheng, P.C. Ching, & Fanrang Kong. (2006). Automatic emotion recognition of speech signal in Mandarin. paper 1128–Wed2BuP.6. 2 indexed citations
20.
Wang, Qunjing, et al.. (2002). An investigation on brushless DC motor CAD. 4. 2400–2404. 1 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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