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Yiqing Ni - Publications

Affiliations: 
Hong Kong Polytechnic University (Hong Kong) 
Area:
Civil Engineering
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54 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Ni Y, Zhang Q. A Bayesian machine learning approach for online detection of railway wheel defects using track-side monitoring Structural Health Monitoring-An International Journal. 147592172092177. DOI: 10.1177/1475921720921772  0.31
2020 Ding S, Wang Y, Ni Y, Han B. Structural modal identification and health monitoring of building structures using self-sensing cementitious composites Smart Materials and Structures. 29: 55013. DOI: 10.1088/1361-665X/Ab79B9  0.328
2020 Wan H, Ni Y. A New Approach for Interval Dynamic Analysis of Train-Bridge System Based on Bayesian Optimization Journal of Engineering Mechanics-Asce. 146: 4020029. DOI: 10.1061/(Asce)Em.1943-7889.0001735  0.304
2019 Liu XZ, Xu C, Ni YQ. Wayside Detection of Wheel Minor Defects in High-Speed Trains by a Bayesian Blind Source Separation Method. Sensors (Basel, Switzerland). 19. PMID 31540129 DOI: 10.3390/S19183981  0.319
2019 Wang QA, Ni YQ. Measurement and Forecasting of High-Speed Rail Track Slab Deformation under Uncertain SHM Data Using Variational Heteroscedastic Gaussian Process. Sensors (Basel, Switzerland). 19. PMID 31357660 DOI: 10.3390/S19153311  0.347
2019 Ni Y, Wang Y, Liao W, Chen W. A vision-based system for long-distance remote monitoring of dynamic displacement: experimental verification on a supertall structure Smart Structures and Systems. 24: 769-781. DOI: 10.12989/Sss.2019.24.6.769  0.409
2019 Duan Y, Ni Y, Zhang H, Spencer BFJ, Ko J, Dong S. Design formulas for vibration control of taut cables using passive MR dampers Smart Structures and Systems. 23: 521-536. DOI: 10.12989/Sss.2019.23.6.521  0.318
2019 Zhu Y, Laory I, Ni Y. A Temperature-driven One-Class Support Vector Machine Method for Anomaly Detection Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2019/32483  0.337
2019 Chen S, Ni Y, Liu J, Yao N. Deep Learning-based Data Anomaly Detection in Rail Track Inspection Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2019/32482  0.313
2019 Liao C, Wang S, Ni Y. Application of Driving Recorder to Evaluate Rail Irregularity and Vehicle Swing Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2019/32437  0.322
2019 Zhang Q, Ni Y, Zhou L. A Bayesian Probabilistic Approach for Damage Detection of a Population of Nominally Identical Structures: Application to Railway Wheel Condition Assessment Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2019/32436  0.403
2019 Zhou L, Chen S, Choy A, Ni Y. Monitoring of Rail Bolted Joint Looseness with PZT Network- Based EMI Technique Under a Deep Learning Framework Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2019/32435  0.366
2019 Wei Y, Ni Y. Variational Autoencoder-Based Approach for Rail Defect Identification Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2019/32432  0.378
2019 Wang S, Duan Y, Yau J, Ni Y. Monitoring-Assisted Derailment Prediction of a High-Speed Train Running on a Long-Span Cable-Stayed Bridge Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2019/32431  0.323
2019 Wan H, Ni Y. Bayesian multi-task learning methodology for reconstruction of structural health monitoring data: Structural Health Monitoring-An International Journal. 18: 1282-1309. DOI: 10.1177/1475921718794953  0.307
2019 Zhou H, Lu L, Li Z, Ni Y. Performance of videogrammetric displacement monitoring technique under varying ambient temperature Advances in Structural Engineering. 22: 3371-3384. DOI: 10.1177/1369433218822089  0.334
2019 Vatandoost H, Alehashem SMS, Norouzi M, Taghavifar H, Ni Y. A Supervised Artificial Neural Network-Assisted Modeling of Magnetorheological Elastomers in Tension–Compression Mode Ieee Transactions On Magnetics. 55: 8903622. DOI: 10.1109/Tmag.2019.2942804  0.317
2019 Wang H, Ni Y, Dai J, Yuan M. Interfacial debonding detection of strengthened steel structures by using smart CFRP-FBG composites Smart Materials and Structures. 28: 115001. DOI: 10.1088/1361-665X/Ab3Add  0.318
2019 Wan H, Ni Y. Binary Segmentation for Structural Condition Classification Using Structural Health Monitoring Data Journal of Aerospace Engineering. 32: 4018124. DOI: 10.1061/(Asce)As.1943-5525.0000956  0.355
2019 Wan H, Ni Y. An efficient approach for dynamic global sensitivity analysis of stochastic train-track-bridge system Mechanical Systems and Signal Processing. 117: 843-861. DOI: 10.1016/J.Ymssp.2018.08.018  0.335
2019 Zhu Y, Ni Y, Jin H, Inaudi D, Laory I. A temperature-driven MPCA method for structural anomaly detection Engineering Structures. 190: 447-458. DOI: 10.1016/J.Engstruct.2019.04.004  0.378
2018 Zhang L, Wang Y, Ni Y, Lai S. Online condition assessment of high-speed trains based on Bayesian forecasting approach and time series analysis Smart Structures and Systems. 21: 705. DOI: 10.12989/Sss.2018.21.5.705  0.344
2018 Shi X, Zhu S, Ni Y, Li J. Vibration suppression in high-speed trains with negative stiffness dampers Smart Structures and Systems. 21: 653. DOI: 10.12989/Sss.2018.21.5.653  0.315
2018 Xia Y, Ni Y. A wavelet-based despiking algorithm for large data of structural health monitoring: International Journal of Distributed Sensor Networks. 14: 155014771881909. DOI: 10.1177/1550147718819095  0.344
2018 Zhu Y, Ni Y, Jesus AH, Liu J, Laory I. Thermal strain extraction methodologies for bridge structural condition assessment Smart Materials and Structures. 27: 105051. DOI: 10.1088/1361-665X/Aad5Fb  0.353
2018 Wan H, Ni Y. Bayesian Modeling Approach for Forecast of Structural Stress Response Using Structural Health Monitoring Data Journal of Structural Engineering-Asce. 144: 4018130. DOI: 10.1061/(Asce)St.1943-541X.0002085  0.351
2017 Shen Y, Wang J, Ni Y. Structural Health Monitoring of High-speed Railways using Ultrasonic Guided Waves Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2017/14198  0.335
2017 Lai S, Ni Y, Zhang L. A Correlation Study of Vibration and Noise Signals by Analyzing Its Responses for Monitoring of High-Speed Trains Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2017/14180  0.304
2017 Wang J, Yuan M, Ni Y. Rail Crack Monitoring using Fiber Optic Based Ultrasonic Guided Wave Detection Technology Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2017/14057  0.305
2017 Ye X, Liu T, Ni Y. Probabilistic corrosion fatigue life assessment of a suspension bridge instrumented with long-term structural health monitoring system: Advances in Structural Engineering. 20: 674-681. DOI: 10.1177/1369433217698345  0.32
2017 Ying Z, Ni Y. Advances in structural vibration control application of magneto-rheological visco-elastomer Theoretical and Applied Mechanics Letters. 7: 61-66. DOI: 10.1016/J.Taml.2017.01.003  0.36
2017 Su J, Xia Y, Ni Y, Zhou L, Su C. Field monitoring and numerical simulation of the thermal actions of a supertall structure Structural Control & Health Monitoring. 24. DOI: 10.1002/Stc.1900  0.351
2016 Zhang FL, Ni YQ, Ni YC. Mode identifiability of a cable-stayed bridge based on a Bayesian method Smart Structures and Systems. 17: 471-489. DOI: 10.12989/Sss.2016.17.3.471  0.332
2016 Zhang FL, Ni YQ, Ni YC, Wang YW. Operational modal analysis of Canton Tower by a fast frequency domain Bayesian method Smart Structures and Systems. 17: 209-230. DOI: 10.12989/Sss.2016.17.2.209  0.396
2016 Ni YQ, Xia YX. Strain-Based Condition Assessment of a Suspension Bridge Instrumented with Structural Health Monitoring System International Journal of Structural Stability and Dynamics. 16. DOI: 10.1142/S0219455416400277  0.386
2015 Ni Y, Wang J, Chan THT. Structural damage alarming and localization of cable-supported bridges using multi-novelty indices: a feasibility study Structural Engineering and Mechanics. 54: 337-362. DOI: 10.12989/Sem.2015.54.2.337  0.402
2015 Ni Y, Liu X, Zhao W, Liang S. Outlier Detection in Sensor-assisted Online Ride Comfort Assessment of High-speed Trains Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2015/262  0.34
2015 Liu X, Ni Y, Wu W, Pei Y, Hou Y, Qin D. AET-based Pattern Recognition Technique for Rail Defect Detection Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2015/252  0.339
2015 Ni Y. SHM-Enriched High Speed Rail Systems Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2015/2  0.315
2015 Niu Y, Fritzen C, Jung H, Buethe I, Ni Y, Wang Y. Online Simultaneous Reconstruction of Wind Load and Structural Responses—Theory and Application to Canton Tower Computer-Aided Civil and Infrastructure Engineering. 30: 666-681. DOI: 10.1111/Mice.12134  0.335
2015 Wang X, Ni YQ, Lin KC. Comparison of statistical counting methods in SHM-based reliability assessment of bridges Journal of Civil Structural Health Monitoring. 5: 275-286. DOI: 10.1007/S13349-015-0103-1  0.378
2015 Yang Y, Nagarajaiah S, Ni YQ. Data compression of very large-scale structural seismic and typhoon responses by low-rank representation with matrix reshape Structural Control and Health Monitoring. 22: 1119-1131. DOI: 10.1002/Stc.1737  0.362
2015 Ying ZG, Ni YQ. Optimal control for vibration peak reduction via minimizing large responses Structural Control and Health Monitoring. 22: 826-846. DOI: 10.1002/Stc.1722  0.336
2014 Xia Y, Zhang P, Ni Y, Zhu H. Deformation monitoring of a super-tall structure using real-time strain data Engineering Structures. 67: 29-38. DOI: 10.1016/J.Engstruct.2014.02.009  0.359
2013 Liu Y, Loh C, Ni Y. Stochastic subspace identification for output‐only modal analysis: application to super high‐rise tower under abnormal loading condition Earthquake Engineering & Structural Dynamics. 42: 477-498. DOI: 10.1002/Eqe.2223  0.373
2012 Chen H, Tee KF, Ni Y. Mode shape expansion with consideration of analytical modelling errors and modal measurement uncertainty Smart Structures and Systems. 10: 485-499. DOI: 10.12989/Sss.2012.10.4_5.485  0.388
2012 Loh C, Liu Y, Ni Y. SSA-based stochastic subspace identification of structures from output-only vibration measurements Smart Structures and Systems. 10: 331-351. DOI: 10.12989/Sss.2012.10.4_5.331  0.399
2012 Ye X, Ni Y, Xia Y. Distributed Strain Sensor Networks for In-Construction Monitoring and Safety Evaluation of a High-Rise Building International Journal of Distributed Sensor Networks. 8: 685054. DOI: 10.1155/2012/685054  0.353
2012 Ni YQ. Special issue on interdisciplinary and integration aspects in structural health monitoring Mechanical Systems and Signal Processing. 28: 1-2. DOI: 10.1016/J.Ymssp.2012.01.001  0.308
2012 Xia Y, Chen B, Weng S, Ni Y, Xu Y. Temperature effect on vibration properties of civil structures : a literature review and case studies Journal of Civil Structural Health Monitoring. 2: 29-46. DOI: 10.1007/S13349-011-0015-7  0.36
2011 Chen Z, Ni Y. On-board Identification and Control Performance Verification of an MR Damper Incorporated with Structure Journal of Intelligent Material Systems and Structures. 22: 1551-1565. DOI: 10.1177/1045389X11411212  0.345
2011 Xia Y, Ni Y, Zhang P, Liao W, Ko J. Stress Development of a Supertall Structure during Construction: Field Monitoring and Numerical Analysis Computer-Aided Civil and Infrastructure Engineering. 26: 542-559. DOI: 10.1111/J.1467-8667.2010.00714.X  0.354
2010 Ni Y, Ying Z, Chen Z. Magneto-rheological elastomer (MRE) based composite structures for micro-vibration control Earthquake Engineering and Engineering Vibration. 9: 345-356. DOI: 10.1007/S11803-010-0019-Z  0.352
2007 Huang F, Wang X, Chen Z, He X, Ni Y. A new approach to identification of structural damping ratios Journal of Sound and Vibration. 303: 144-153. DOI: 10.1016/J.Jsv.2006.12.026  0.368
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