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Robert X. Gao

Active 2000–2025

138
Papers
20,156
Citations
58
h-index
109
i10-index

Citations

Citations per year for Robert X. Gao1977: 1 citations1989: 1 citations1994: 1 citations1996: 1 citations1997: 3 citations2000: 3 citations2002: 1 citations2003: 1 citations2004: 6 citations2005: 6 citations2006: 20 citations2007: 13 citations2008: 23 citations2009: 39 citations2010: 38 citations2011: 46 citations2012: 90 citations2013: 107 citations2014: 109 citations2015: 139 citations2016: 154 citations2017: 203 citations2018: 341 citations2019: 602 citations2020: 962 citations2021: 929 citations2022: 1,004 citations2023: 963 citations2024: 991 citations2025: 802 citations2026: 182 citations2027: 2 citations1978–1988: no citations, so these years are not shown1990–1993: no citations, so these years are not shown1995: no citations, so this year is not shown1998–1999: no citations, so these years are not shown2001: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,066 citing papers, 34.7% of this breakdownUnited States: 891 citing papers, 10.1% of this breakdownUnited Kingdom: 407 citing papers, 4.6% of this breakdownIndia: 356 citing papers, 4% of this breakdownGermany: 283 citing papers, 3.2% of this breakdownSouth Korea: 255 citing papers, 2.9% of this breakdownCanada: 248 citing papers, 2.8% of this breakdownItaly: 246 citing papers, 2.8% of this breakdownHong Kong: 187 citing papers, 2.1% of this breakdownAustralia: 179 citing papers, 2% of this breakdownSpain: 157 citing papers, 1.8% of this breakdownSweden: 155 citing papers, 1.7% of this breakdown
0%34.7%Other 27.3%

Institutions

Fields

  • Engineering65.9%
  • Computer Science21%
  • Medicine2.4%
  • Neuroscience1.6%
  • Health Professions1.2%
  • Psychology1.1%
  • Other6.8%

Topics

  • Machine Fault Diagnosis Techniques11.5%
  • Fault Detection and Control Systems6.5%
  • Gear and Bearing Dynamics Analysis3.9%
  • Digital Transformation in Industry3.5%
  • Industrial Vision Systems and Defect Detection3.5%
  • Anomaly Detection Techniques and Applications2.9%
  • Other68.2%

Coauthors

All papers

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  1. Deep learning and its applications to machine health monitoring

    Authors: Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao - Mechanical Systems and Signal Processing 2018 cited by 2,644

  2. Deep learning for smart manufacturing: Methods and applications

    Authors: Jinjiang Wang, Yulin Ma, Laibin Zhang, Robert X. Gao, Dazhong Wu - Journal of Manufacturing Systems 2018 cited by 1,644

  3. Symbiotic human-robot collaborative assembly

    Authors: Lihui Wang, Robert X. Gao, József Váncza, Jörg Krüger, Xi Vincent Wang, Sotiris Makris, George Chryssolouris - CIRP Annals 2019 cited by 552

  4. Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook

    Authors: Jorge Arinez, Qing Chang, Robert X. Gao, Chengying Xu, Jianjing Zhang - Journal of Manufacturing Science and Engineering 2020 cited by 523

  5. Wavelet transform for rotary machine fault diagnosis:10 years revisited

    Authors: Ruqiang Yan, Zuogang Shang, Hong Xu, Jingcheng Wen, Zhibin Zhao, Xuefeng Chen, Robert X. Gao - Mechanical Systems and Signal Processing 2023 cited by 260

  6. Wavelets for fault diagnosis of rotary machines: A review with applications

    Authors: Ruqiang Yan, Robert X. Gao, Xuefeng Chen - Signal Processing, Signal Process. 2013 cited by 1,406

  7. DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

    Authors: Siyu Shao, Ruqiang Yan, Yadong Lu, Peng Wang, Robert X. Gao - IEEE Transactions on Instrumentation and Measurement, IEEE Trans. Instrum. Meas. 2019 cited by 426

  8. Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability

    Authors: Jinjiang Wang, Yilin Li, Robert X. Gao, Fengli Zhang - Journal of Manufacturing Systems 2022 cited by 269

  9. Digital Twin for rotating machinery fault diagnosis in smart manufacturing

    Authors: Jinjiang Wang, Lunkuan Ye, Robert X. Gao, Chen Li, Laibin Zhang - International Journal of Production Research, Int. J. Prod. Res. 2018 cited by 522

  10. Long short-term memory for machine remaining life prediction

    Authors: Jianjing Zhang, Peng Wang, Ruqiang Yan, Robert X. Gao - Journal of Manufacturing Systems 2018 cited by 453

  11. Recurrent neural network for motion trajectory prediction in human-robot collaborative assembly

    Authors: Jianjing Zhang, Hongyi Liu, Qing Chang, Lihui Wang, Robert X. Gao - CIRP Annals 2020 cited by 183

  12. A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN

    Authors: Hui Wang, Jiawen Xu, Ruqiang Yan, Robert X. Gao - IEEE Transactions on Instrumentation and Measurement, IEEE Trans. Instrum. Meas. 2019 cited by 335

  13. Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

    Authors: Shenghan Guo, Mohit Agarwal, Clayton Cooper, Qi Tian, Robert X. Gao, Weihong Guo, Y. B. Guo - Journal of Manufacturing Systems 2021 cited by 286

  14. Toward cognitive predictive maintenance: A survey of graph-based approaches

    Authors: Liqiao Xia, Pai Zheng, Xinyu Li, Robert X. Gao, Lihui Wang - Journal of Manufacturing Systems 2022 cited by 147

  15. Cognitive neuroscience and robotics: Advancements and future research directions

    Authors: Sichao Liu, Lihui Wang, Robert X. Gao - Robotics and Computer-Integrated Manufacturing, Robotics Comput. Integr. Manuf. 2023 cited by 82

  16. A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

    Authors: Dazhong Wu, Connor Jennings, Janis Terpenny, Robert X. Gao, Soundar Kumara - Journal of Manufacturing Science and Engineering 2017 cited by 662

  17. Physics guided neural network for machining tool wear prediction

    Authors: Jinjiang Wang, Yilin Li, Rui Zhao, Robert X. Gao - Journal of Manufacturing Systems 2020 cited by 279

  18. A multi-time scale approach to remaining useful life prediction in rolling bearing

    Authors: Yuning Qian, Ruqiang Yan, Robert X. Gao - Mechanical Systems and Signal Processing 2016 cited by 243

  19. Transferable two-stream convolutional neural network for human action recognition

    Authors: Qianqian Xiong, Jianjing Zhang, Peng Wang, Dongdong Liu, Robert X. Gao - Journal of Manufacturing Systems 2020 cited by 114

  20. Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics

    Authors: Yiwei Wang, Lei Deng, Lianyu Zheng, Robert X. Gao - Journal of Manufacturing Systems 2021 cited by 147

  21. Deep learning-based human motion recognition for predictive context-aware human-robot collaboration

    Authors: Peng Wang, Hongyi Liu, Lihui Wang, Robert X. Gao - CIRP Annals 2018 cited by 237

  22. Machine vision intelligence for product defect inspection based on deep learning and Hough transform

    Authors: Jinjiang Wang, Peilun Fu, Robert X. Gao - Journal of Manufacturing Systems 2019 cited by 289

  23. Hybrid machine learning for human action recognition and prediction in assembly

    Authors: Jianjing Zhang, Peng Wang, Robert X. Gao - Robotics and Computer-Integrated Manufacturing, Robotics Comput. Integr. Manuf. 2021 cited by 96

  24. Prognosis of Defect Propagation Based on Recurrent Neural Networks

    Authors: Arnaz Malhi, Ruqiang Yan, Robert X. Gao - IEEE Transactions on Instrumentation and Measurement, IEEE Trans. Instrum. Meas. 2011 cited by 304