| Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring L Li, RJ Hansman, R Palacios, R Welsch Transportation Research Part C: Emerging Technologies 64, 45-57, 2016 | 239 | 2016 |
| Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations L Li, S Das, RJ Hansman, R Palacios, A Srivastava Journal of Aerospace Information Systems, 2015 | 196 | 2015 |
| Early prediction of battery lifetime via a machine learning based framework Z Fei, F Yang, KL Tsui, L Li, Z Zhang Energy 225, 120205, 2021 | 142 | 2021 |
| Anomaly detection in onboard-recorded flight data using cluster analysis L Li, M Gariel, RJ Hansman, R Palacios 2011 IEEE/AIAA 30th Digital Avionics Systems Conference, 4A4-1-4A4-11, 2011 | 130 | 2011 |
| The image of the City on social media: A comparative study using “Big Data” and “Small Data” methods in the Tri-City Region in Poland J Huang, H Obracht-Prondzynska, D Kamrowska-Zaluska, Y Sun, L Li Landscape and Urban Planning 206, 103977, 2020 | 106 | 2020 |
| Flight trajectory data analytics for characterization of air traffic flows: A comparative analysis of terminal area operations between New York, Hong Kong and Sao Paulo MCR Murça, RJ Hansman, L Li, P Ren Transportation Research Part C: Emerging Technologies 97, 324-347, 2018 | 83 | 2018 |
| An unpunctual preventive maintenance policy under two-dimensional warranty X Wang, L Li, M Xie European Journal of Operational Research 282 (1), 304-318, 2020 | 80 | 2020 |
| Measuring the resilience of an airport network W Yanjun, Z Jianming, XU Xinhua, LI Lishuai, C Ping, M Hansen Chinese Journal of Aeronautics 32 (12), 2694-2705, 2019 | 79 | 2019 |
| Optimal preventive maintenance strategy for leased equipment under successive usage-based contracts X Wang, L Li, M Xie International Journal of Production Research 57 (18), 5705-5724, 2019 | 58 | 2019 |
| Characterizing air traffic networks via large-scale aircraft tracking data: A comparison between China and the US networks P Ren, L Li Journal of Air Transport Management 67, 181-196, 2018 | 52 | 2018 |
| Multi-graph convolutional-recurrent neural network (MGC-RNN) for short-term forecasting of transit passenger flow Y He, L Li, X Zhu, KL Tsui IEEE Transactions on Intelligent Transportation Systems 23 (10), 18155-18174, 2022 | 48 | 2022 |
| A multi-agent approach for reactionary delay prediction of flights Y Guleria, Q Cai, S Alam, L Li IEEE Access 7, 181565-181579, 2019 | 43 | 2019 |
| Anomaly detection in airline routine operations using flight data recorder data L Li Massachusetts Institute of Technology Cambridge, MA 02139 USA, 2013 | 43 | 2013 |
| Calibrating classification probabilities with shape-restricted polynomial regression Y Wang, L Li, C Dang IEEE transactions on pattern analysis and machine intelligence 41 (8), 1813-1827, 2019 | 34 | 2019 |
| Cost analysis of a piece-wise renewing free replacement warranty policy X Wang, K He, Z He, L Li, M Xie Computers & Industrial Engineering 135, 1047-1062, 2019 | 33 | 2019 |
| An incremental clustering method for anomaly detection in flight data W Zhao, L Li, S Alam, Y Wang Transportation Research Part C: Emerging Technologies 132, 103406, 2021 | 29 | 2021 |
| Flight time prediction for fuel loading decisions with a deep learning approach X Zhu, L Li Transportation Research Part C: Emerging Technologies 128, 103179, 2021 | 29 | 2021 |
| From aircraft tracking data to network delay model: A data-driven approach considering en-route congestion Y Lin, L Li, P Ren, Y Wang, WY Szeto Transportation Research Part C: Emerging Technologies 131, 103329, 2021 | 25 | 2021 |
| On optimal upgrade strategy for second-hand multi-component systems sold with warranty X Wang, M Xie, L Li International journal of production research 57 (3), 847-864, 2019 | 25 | 2019 |
| Tracking traffic congestion and accidents using social media data: A case study of Shanghai H Chang, L Li, J Huang, Q Zhang, KS Chin Accident Analysis & Prevention 169, 106618, 2022 | 24 | 2022 |
Min XieChair Professor of Industrial Engineering, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
