• [1] Kai-Chia Cheng, Ya-Lan Chiu, Chia-Liang Tsai, Yu-Liang Hsu, and Yi-Ju Tsai*, “Fatigue affects body acceleration during vertical jump and agility drill in elite young badminton players,” Accepted by Sports Health, 2024. (SCI, IF=3.3)

 

• [2] Han-Yin Liu*, Hao-Chun Hung, Yu-Liang Hsu, Ching-Sung Lee, Meng-Yu Hsu, Yi-Jie Liu, Yu-Ting Huang, and Wei-Chou Hsu, “C-axis aligned crystalline InSnZnO thin film using mist chemical vapor deposition and deposition/annealing cyclic method for thin-film transistors applications,” IEEE Transactions on Electron Devices, vol. 70, no. 7, pp. 3617-3623, 2023. (SCI, IF=3.1)

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• [3] Min-Chun Chuang, Chia-Ming Jan, Yu-Jen Wang*, and Yu-Liang Hsu*, “Intelligent monitoring and compensation between EDM and ECM,” Applied Sciences-Basel, vol. 13, 2023, Art. no. 927. (SCI, IF=2.7)

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• [4] Kuo-Yuan Hung, Po-Huan Chou, Nai-Wen Liu, Yu-Liang Hsu, and Shih-Chin Yang*, “The influence of non-sinusoidal inductance on saliency-based position estimation for permanent magnet machine,” IEEE Access, vol. 10, pp. 54421-54432, 2022. (SCI, IF=3.9)

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• [5] Han-Yin Liu*, Yu-Liang Hsu, and Yu-Xing Zheng, “Investigation of oxygen deficiency-rich/oxygen deficiency-poor stacked TiO2 based resistive random access memory by mist chemical vapor deposition,” Ceramics International, vol. 48, no. 19, pp. 28881-28888, 2022. (SCI, IF=5.2)

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• [6] Hsing-Cheng Chang, Yu-Liang Hsu*, Ching-Yuan Hsiao, and Yi-Fan 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=4.3)

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• [7] Yu-Ching Lin, Yi-Ju Tsai, Yu-Liang Hsu, Ming-Hsin Yen, and Jeen-Shing Wang*, “Assessment of shoulder range of motion using a wearable inertial sensor network,” IEEE Sensors Journal, vol. 21, no. 13, pp. 15330-15341, 2021. (SCI, IF=4.3)

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• [8] Hsing-Cheng Chang, Yu-Liang Hsu*, San-Shan Hung, Guan-Ru Ou, Jia-Ron Wu, and Chuan Hsu, “Autonomous water quality monitoring and water surface cleaning for unmanned surface vehicle,” Sensors, vol. 21, 2021, Art. no. 1102. (SCI, IF=3.9)

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• [9] Hsing-Cheng Chang, Yu-Liang Hsu*, Shyan-Lung Lin, Ya-Hui Chen, Tai-Jiun Guo, and Fan-Wei Cheng, “Parallel-packaged multiple-gas microsensors based on hollowed nanostructures of doped tin oxides,” Microsystem Technologies, vol. 27, pp. 1445-1455, 2021. (SCI, IF=2.1)

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• [10] Shyan-Lung Lin*, Shoou-Jeng Yeh, Ching-Kun Chen, Yu-Liang Hsu, Chih-En Ku, Wei-Yu Chen, and Cheng-Pu Hsieh, “Comparisons of the nonlinear relationship of cerebral blood flow response and cerebral vasomotor reactivity to carbon dioxide under hyperventilation between postural orthostatic tachycardia syndrome patients and healthy subjects,” Journal of Clinical Medicine, vol. 9, no. 12, 2020, Art. no. 4088. (SCI, IF=3.9)

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• [11] Yu-Liang Hsu, Jeen-Shing Wang*, Wei-Chun Chiang, and Chien-Han Hung, “Automatic ECG-based emotion recognition in music listening,” IEEE Transactions on Affective Computing, vol. 11, no. 1, pp. 85-99, 2020. (SCI, IF: 11.2)

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• [12] Che-Ming Chang, Chern-Sheng Lin*, Wei-Cheng Chen, Chung-Ting Chen, and Yu-Liang Hsu, “Development and application of a human-machine interface using head control and flexible numeric tables for the severely disabled,” Applied Sciences-Basel, vol. 10, no. 19, 2020, Art. no. 7005. (SCI, IF=2.7)

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• [13] Yu-Liang Hsu*, Hsing-Cheng Chang, and Yung-Jung Chiu, “Wearable sport activity classification based on deep convolutional neural network,” IEEE Access, vol. 7, no. 1, pp. 170199-170212, 2019. (SCI, IF=3.9)

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• [14] Shih-Chin Yang*, Yu-Liang Hsu, Po-Huan Chou, Jynn-You Chen, and Guan-Ren 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=3.9)

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• [15] Yu-Liang Hsu* and Jeen-Shing Wang, “Random drift modeling and compensation for MEMS-based gyroscopes and its application in handwriting trajectory reconstruction,” IEEE Access, vol. 7, no. 1, pp. 17551-17560, 2019. (SCI, IF=3.9)

 

• [16] Yu-Liang Hsu*, Shih-Chin Yang, Hsing-Cheng Chang, and Hung-Che 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=3.9)

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• [17] Chern-Sheng Lin*, Yu-Chia Huang, Shih-Hua Chen, Yu-Liang Hsu, and Yu-Chen Lin, “The application of deep learning and image processing technology in laser positioning,” Applied Sciences-Basel, vol. 8, no. 9, 2018, Art. no. 1542. (SCI, IF=2.7)

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• [18] Shih-Chin Yang*, Yu-Liang Hsu, Po-Huan Chou, Cheng-Chung Hsu, Guan-Ren Chen, and Kang 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=4.4)

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• [19] Po-Huan Chou, Yu-Liang Hsu*, Shih-Chin Yang, Hsing-Cheng Chang, Yu-Chen Kuo, Li-Feng Chiu, and Yu-Tai 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=1.2)

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• [20] Han-Yin Liu*, Yu-Liang Hsu, Heng-Yi Su, Ruei-Chin Huang, Fu-Yuan Hou, Guan-Cheng Tu, and Wei-Hsin Liu, “A comparative study of amorphous, anatase, rutile, and mixed phase TiO2 films by mist chemical vapor deposition and ultraviolet photodetectors applications,” IEEE Sensors Journal, vol. 18, no. 10, pp. 4022-4029, 2018. (SCI, IF=4.3)

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• [21] Wei-Hsin Wang, Yu-Liang Hsu, Pau-Choo Chung*, and Ming-Chyo 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=4.3)

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• [22] Shih-Chin Yang*, Yu-Liang Hsu, Po-Huan Chou, Guan-Ren Chen, and Da-Ren 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=7.7)

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• [23] Guan-Ren Chen, Shih-Chin Yang*, Yu-Liang Hsu, and Kang Li, “Position and speed estimation of permanent magnet machine sensorless drive at high speed using an improved phase-locked loop,” Energies, vol. 10, no. 10, 2017, Art. no. 1571. (SCI, IF=3.2)

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• [24] Yu-Liang Hsu*, Po-Huan Chou, Hsing-Cheng Chang, Shyan-Lung Lin, Shih-Chin Yang, Heng-Yi Su, Chih-Chien Chang, Yuan-Sheng Cheng, and Yu-Chen 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=3.9)

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• [25] Yu-Liang Hsu, Jeen-Shing Wang*, and Che-Wei 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=4.3)

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• [26] Shih-Chin Yang* and Yu-Liang 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=7.7)

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• [27] Hsing-Cheng Chang*, Yu-Liang Hsu, Wen-Chieh Huang, Ya-Hui Chen, and I-Nan 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=2.1)

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• [28] Hsing-Cheng Chang*, Yu-Liang Hsu, Cheng-Yan Tsai, Ya-Hui Chen, and Shyan-Lung Lin, “Nanofiber-based brush-distributed sensor for detecting heavy metal ions,” Microsystem Technologies, vol. 23, no. 2, pp. 507-514, 2017. (SCI, IF=2.1)

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• [29] Hsing-Cheng Chang*, Yu-Liang Hsu, Shih-Chin Yang, Jung-Chih Lin, and Zhi-Hao Wu, “A wearable inertial measurement system with complementary filter for gait analysis of patients with stroke or Parkinson’s disease,” IEEE Access, vol. 4, pp. 8442-8453, 2016. (SCI, IF=3.9)

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• [30] Heng-Yi Su*, Yu-Liang Hsu, and Yi-Chung Chen, “PSO-based voltage control strategy for loadability enhancement in smart power grids,” Applied Sciences-Basel, vol. 6, no. 12, 2016, Art. no. 449. (SCI, IF=2.7)

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• [31] Heng-Yi Su*, Yi-Chung Chen, and Yu-Liang Hsu, “A synchrophasor based optimal voltage control scheme with successive voltage stability margin improvement,” Applied Sciences-Basel, vol. 6, no. 1, pp. 1-12, 2016. (SCI, IF=2.7)

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• [32] Yu-Liang Hsu, Cheng-Ling Chu, Yi-Ju Tsai, and Jeen-Shing Wang*, “An inertial pen with dynamic time warping recognizer for handwriting and gesture recognition,” IEEE Sensors Journal, vol. 15, no. 1, pp. 154-163, 2015. (SCI, IF=4.3)

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• [33] Yu-Liang Hsu, Pau-Choo Chung*, Wei-Hsin Wang, Ming-Chyi Pai, Chun-Yao Wang, Chien-Wen Lin, Hao-Li Wu, and Jeen-Shing Wang, “Gait and balance analysis for patients with Alzheimer’s disease using an inertial-sensor-based wearable instrument,” IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 6, pp. 1822-1830, 2014. (SCI, IF=7.7)

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• [34] Jeen-Shing Wang*, Wei-Chun Chiang, Yu-Liang Hsu, and Ya-Ting C. Yang, “ECG arrhythmia classification using a probabilistic neural network with a feature reduction method,” Neurocomputing, vol. 116, pp. 38-45, 2013. (SCI, IF=6.0)

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• [35] Yu-Liang Hsu, Ya-Ting C. Yang, Jeen-Shing Wang*, and Chung-Yao Hsu, “Automatic sleep stage recurrent neural classifier using energy features of EEG signals,” Neurocomputing, vol. 104, pp. 105-114, 2013. (SCI, IF=6.0)

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• [36] Jeen-Shing Wang*, Yu-Liang Hsu, and Jiun-Nan Liu, “An inertial-measurement-unit-based pen with a trajectory reconstruction algorithm and its applications,” IEEE Transactions on Industrial Electronics, vol. 57, no. 10, pp. 3508-3521, 2010. (SCI, IF=7.7)

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• [37] Jeen-Shing Wang* and Yu-Liang Hsu, “An MDL-based Hammerstein recurrent neural network for control applications,” Neurocomputing, vol. 74, no. 1-3, pp. 315-327, 2010. (SCI, IF=6.0)

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• [38] Jeen-Shing Wang*, Yu-Liang Hsu, Hung-Yi Lin, and Yen-Ping Chen, “Minimal model dimension/order determination algorithms for recurrent neural networks,” Pattern Recognition Letters, vol. 30, no. 9, pp. 812-819, 2009. (SCI, IF=5.1)

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• [39] Yu-Liang Hsu and Jeen-Shing Wang*, “A Wiener-type recurrent neural network and its control strategy for nonlinear dynamic applications,” Journal of Process Control, vol. 19, no. 6, pp. 942-953, 2009. (SCI, IF=4.2)

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• [40] Jeen-Shing Wang* and Yu-Liang Hsu, “Dynamic nonlinear system identification using a Wiener-type recurrent network with OKID algorithm,” Journal of Information Science and Engineering, vol. 24, no. 3, pp. 891-905, 2008. (SCI, IF=1.1)