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期刊論文(許煜亮老師)

近五年SCI期刊論文

  1. H.-C. Chang, Y.-L. Hsu*, C.-Y. Hsiao, and Y.-F. Chen, “Design and implementation of an intelligent autonomous surveillance system for indoor environments,” IEEE Sensors Journal, vol. 21, no. 15, pp. 17335-17349, 2021. (SCI, IF=3.301, Instruments & Instrumentation 20/64=31.3% (Q2), Web of Science Citation: 0, Google Scholar Citation: 2)
  2. H.-C. Chang, Y.-L. Hsu*, S.-S. Hung, G.-R. Ou, J.-R. Wu, and C. Hsu, “Autonomous water quality monitoring and water surface cleaning for unmanned surface vehicle,” Sensors, vol. 21, 2021, Art. no. 1102. (SCI, IF=3.576, Instruments & Instrumentation 14/64=21.9% (Q1), Web of Science Citation: 1, Google Scholar Citation: 4)
  3. H.-C. Chang, Y.-L. Hsu*, S.-L. Lin, Y.-H. Chen, T.-J. Guo, and F.-W. Cheng, “Parallel-packaged multiple-gas microsensors based on hollowed nanostructures of doped tin oxides,” Microsystem Technologies, vol. 27, pp. 1445-1455, 2021. (SCI, IF=2.276, Engineering, Electrical & Electronic 153/273=56.0% (Q3), Web of Science Citation: 1, Google Scholar Citation: 1)
  4. Y.-L. Hsu, J.-S. Wang*, W.-C. Chiang, and C.-H. Hung, “Automatic ECG-based emotion recognition in music listening,” IEEE Transactions on Affective Computing, vol. 11, no. 1, pp. 85-99, 2020. (SCI, IF: 10.506, Computer Science, Artificial Intelligence 9/139=6.5% (Q1), Web of Science Citation: 35, Google Scholar Citation: 89) (擔任博士後期間之研究產出)
  5. Y.-L. Hsu*, H.-C. Chang, and Y.-J. Chiu, “Wearable sport activity classification based on deep convolutional neural network,” IEEE Access, vol. 7, no. 1, pp. 170199-170212, 2019. (SCI, IF=3.367, Engineering, Electrical & Electronic 94/273=34.4% (Q2), Web of Science Citation: 6, Google Scholar Citation: 16)
  6. S.-C. Yang*, Y.-L. Hsu, P.-H. Chou, J.-Y. Chen, and G.-R. Chen, “Digital implementation issues on high speed permanent magnet machine FOC drive under insufficient sample frequency,” IEEE Access, vol. 7, no. 1, pp. 61484-61493, 2019. (SCI, IF=3.367, Engineering, Electrical & Electronic 94/273=34.4% (Q2), Web of Science Citation: 5, Google Scholar Citation: 5)
  7. Y.-L. Hsu*, S.-C. Yang, H.-C. Chang, and H.-C. Lai, “Human daily and sport activity recognition using a wearable inertial sensor network,” IEEE Access, vol. 6, no. 1, pp. 31715-31728, 2018. (SCI, IF=3.367, Engineering, Electrical & Electronic 94/273=34.4% (Q2), Web of Science Citation: 64, Google Scholar Citation: 103)
  8. S.-C. Yang*, Y.-L. Hsu, P.-H. Chou, C.-C. Hsu, G.-R. Chen, and K. Li, “Fault detection and tolerant capability of parallel connected permanent magnet machines under stator turn fault,” IEEE Transactions on Industry Applications, vol. 54, no. 5, pp. 4447-4456, 2018. (SCI, IF=3.654, Engineering, Multidisciplinary 22/90=24.4% (Q1), Web of Science Citation: 6, Google Scholar Citation: 10)
  9. P.-H. Chou, Y.-L. Hsu*, S.-C. Yang, H.-C. Chang, Y.-C. Kuo, L.-F. Chiu, and Y.-T. Chen, “Vibration measurement and suppression for laser galvanometers using a micro-electromechanical system-based accelerometer,” Sensors and Materials, vol. 30, no. 11, pp. 2401-2418, 2018. (SCI, IF=0.759, Instruments & Instrumentation 59/64=92.2% (Q4), Web of Science Citation: 0, Google Scholar Citation: 1)
  10. W.-H. Wang, Y.-L. Hsu, P.-C. Chung*, and M.-C. Pai, “Predictive models for evaluating cognitive ability in dementia diagnosis applications based on inertia- and gait-related parameters,” IEEE Sensors Journal, vol. 18, no. 8, pp. 3338-3350, 2018. (SCI, IF=3.301, Instruments & Instrumentation 20/64=31.3% (Q2), Web of Science Citation: 1, Google Scholar Citation: 2)
  11. S.-C. Yang*, Y.-L. Hsu, P.-H. Chou, G.-R. Chen, and D.-R. Jian, “Online open-phase fault detection for permanent magnet machines with low fault harmonic magnitudes,” IEEE Transactions on Industrial Electronics, vol. 65, no. 5, pp. 4039-4050, 2018. (SCI, IF=8.236, Instruments & Instrumentation 2/64=3.1% (Q1), Web of Science Citation: 18, Google Scholar Citation: 21)
  12. Y.-L. Hsu*, P.-H. Chou, H.-C. Chang, S.-L. Lin, S.-C. Yang, H.-Y. Su, C.-C. Chang, Y.-S. Cheng, and Y.-C. Kuo, “Design and implementation of a smart home system using multisensor data fusion technology,” Sensors, vol. 17, no. 7, 2017, Art. no. 1631. (SCI, IF=3.576, Instruments & Instrumentation 14/64=21.9% (Q1), Web of Science Citation: 39, Google Scholar Citation: 74)
  13. Y.-L. Hsu, J.-S. Wang*, and C.-W. Chang, “A wearable inertial pedestrian navigation system with quaternion-based extended Kalman filter for pedestrian localization,” IEEE Sensors Journal, vol. 17, no. 10, pp. 3193-3206, 2017. (SCI, IF=3.301, Instruments & Instrumentation 20/64=31.3% (Q2), Web of Science Citation: 53, Google Scholar Citation: 67) (擔任博士後期間之研究產出)
  14. S.-C. Yang* and Y.-L. Hsu, “Full speed region sensorless drive of permanent-magnet machine combining saliency-based and back-EMF-based drive,” IEEE Transactions on Industrial Electronics, vol. 64, no. 2, pp. 1092-1101, 2017. (SCI, IF=8.236, Instruments & Instrumentation 2/64=3.1% (Q1), Web of Science Citation: 61, Google Scholar Citation: 85)
  15. H.-C. Chang*, Y.-L. Hsu, W.-C. Huang, Y.-H. Chen, and I.-N. Chang, “Nanoflower structures of ZnO-SnO2 arranged on nanoporous Al2O3 for sensing ethanol and methanol gases,” Microsystem Technologies, vol. 23, no. 2, pp. 499-506, 2017. (SCI, IF=2.276, Engineering, Electrical & Electronic 153/273=56.0% (Q3), Web of Science Citation: 5, Google Scholar Citation: 6)
  16. H.-C. Chang*, Y.-L. Hsu, C.-Y. Tsai, Y.-H. Chen, and S.-L. Lin, “Nanofiber-based brush-distributed sensor for detecting heavy metal ions,” Microsystem Technologies, vol. 23, no. 2, pp. 507-514, 2017. (SCI, IF=2.276, Engineering, Electrical & Electronic 153/273=56.0% (Q3), Web of Science Citation: 4,Google Scholar Citation: 5)
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