Yang Fu

652 total citations
19 papers, 510 citations indexed

About

Yang Fu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yang Fu has authored 19 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 10 papers in Mechanical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Yang Fu's work include Machine Fault Diagnosis Techniques (8 papers), Advanced machining processes and optimization (5 papers) and Fault Detection and Control Systems (4 papers). Yang Fu is often cited by papers focused on Machine Fault Diagnosis Techniques (8 papers), Advanced machining processes and optimization (5 papers) and Fault Detection and Control Systems (4 papers). Yang Fu collaborates with scholars based in China, Ireland and Germany. Yang Fu's co-authors include Yun Zhang, Dequn Li, Xuefeng Chen, Hongrui Cao, Haiyu Qiao, Huamin Zhou, Jianming Ding, Hongqi Liu, Xiaoqiang Wang and Huamin Zhou and has published in prestigious journals such as Mechanical Systems and Signal Processing, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Yang Fu

18 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Fu China 12 306 203 164 115 98 19 510
Jun-Hong Zhou Singapore 10 265 0.9× 173 0.9× 156 1.0× 52 0.5× 105 1.1× 23 468
Issam Abu-Mahfouz United States 11 320 1.0× 121 0.6× 136 0.8× 82 0.7× 66 0.7× 31 429
Cüneyt Oysu Türkiye 10 266 0.9× 128 0.6× 159 1.0× 83 0.7× 129 1.3× 15 454
Kourosh Danai United States 15 352 1.2× 234 1.2× 127 0.8× 132 1.1× 108 1.1× 76 689
J.R. Alique Spain 11 332 1.1× 136 0.7× 191 1.2× 139 1.2× 113 1.2× 23 464
Shilong Sun China 11 224 0.7× 161 0.8× 108 0.7× 79 0.7× 26 0.3× 43 415
Tao Zan China 12 326 1.1× 200 1.0× 55 0.3× 76 0.7× 110 1.1× 54 538
Jingtao Lei China 8 244 0.8× 89 0.4× 133 0.8× 74 0.6× 115 1.2× 32 429
Qun Ren Canada 12 210 0.7× 102 0.5× 119 0.7× 61 0.5× 49 0.5× 28 373
Zhichao You China 11 351 1.1× 136 0.7× 141 0.9× 90 0.8× 159 1.6× 28 647

Countries citing papers authored by Yang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Fu

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

All Works

19 of 19 papers shown
1.
Hu, Wenhao, et al.. (2023). Automatic design of microwave filters by using relational induction neural networks. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 36(6). 1 indexed citations
2.
Fu, Yang, Hongrui Cao, Xuefeng Chen, & Jianming Ding. (2022). Improved broad learning system for machinery intelligent fault diagnosis with increasing fault samples, fault modes, and running conditions. ISA Transactions. 136. 400–416. 12 indexed citations
3.
Wang, Lei, Hongrui Cao, & Yang Fu. (2022). A bearing prognosis framework based on deep wavelet extreme learning machine and particle filtering. Applied Soft Computing. 131. 109763–109763. 19 indexed citations
4.
Fu, Yang, Hongrui Cao, Xuefeng Chen, & Jianming Ding. (2022). Broad auto-encoder for machinery intelligent fault diagnosis with incremental fault samples and fault modes. Mechanical Systems and Signal Processing. 178. 109353–109353. 38 indexed citations
5.
Fu, Yang, Hongrui Cao, Xuefeng Chen, & Jianming Ding. (2022). Task-incremental broad learning system for multi-component intelligent fault diagnosis of machinery. Knowledge-Based Systems. 246. 108730–108730. 33 indexed citations
6.
Wang, Lei, Hongrui Cao, Zhiwen Liu, Yang Fu, & Jianming Ding. (2021). Joint discriminative and shared dictionary learning with dictionary extension strategy for bearing fault classification. Measurement. 186. 110017–110017. 19 indexed citations
7.
Fu, Yang, Hongrui Cao, & Xuefeng Chen. (2021). Adaptive Broad Learning System for High-Efficiency Fault Diagnosis of Rotating Machinery. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 39 indexed citations
8.
Li, Zhenkun, et al.. (2020). Bi‐level service restoration strategy for active distribution system considering different types of energy supply sources. IET Generation Transmission & Distribution. 14(19). 4186–4194. 7 indexed citations
9.
10.
Kong, Xianguang, Yang Fu, Qibin Wang, et al.. (2019). A High Generalizable Feature Extraction Method Using Ensemble Learning and Deep Auto-Encoders for Operational Reliability Assessment of Bearings. Neural Processing Letters. 51(1). 383–406. 13 indexed citations
11.
Fu, Yang, Yun Zhang, Yuan Gao, et al.. (2017). Machining vibration states monitoring based on image representation using convolutional neural networks. Engineering Applications of Artificial Intelligence. 65. 240–251. 61 indexed citations
12.
Fu, Yang, Yun Zhang, Huang Gao, et al.. (2017). Automatic feature constructing from vibration signals for machining state monitoring. Journal of Intelligent Manufacturing. 30(3). 995–1008. 37 indexed citations
13.
Gao, Huang, Yun Zhang, Yang Fu, et al.. (2017). Process parameters optimization using a novel classification model for plastic injection molding. The International Journal of Advanced Manufacturing Technology. 94(1-4). 357–370. 13 indexed citations
14.
Fu, Yang, Yun Zhang, Huamin Zhou, et al.. (2016). Timely online chatter detection in end milling process. Mechanical Systems and Signal Processing. 75. 668–688. 154 indexed citations
15.
Fu, Yang, Yun Zhang, Haiyu Qiao, et al.. (2015). Analysis of Feature Extracting Ability for Cutting State Monitoring Using Deep Belief Networks. Procedia CIRP. 31. 29–34. 54 indexed citations
16.
Fu, Yang. (2012). Feasible Fault-Tolerant Scheduling Algorithm for Distributed Hard-Real-Time System. 1 indexed citations
17.
Fu, Yang. (2007). A Real-Time Fault-Tolerant Scheduling Algorithm of Periodic Tasks in Heterogeneous Distributed Systems. 5 indexed citations
18.
Fu, Yang, et al.. (2007). Research on New Method to Obtain Load Density According to Fuzzy Closeness Analysis Theory. 17. 603–603. 2 indexed citations
19.
Fu, Yang. (2004). An Optimal Scheduling Algorithm for Soft Aperiodic Tasks. 2 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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