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 | 274 | 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 | 211 | 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 | 198 | 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 | 138* | 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 | 132 | 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 | 98 | 2019 |
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 | 98 | 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 | 87 | 2020 |
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 | 77 | 2022 |
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 | 69 | 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 | 57 | 2018 |
A multi-agent approach for reactionary delay prediction of flights Y Guleria, Q Cai, S Alam, L Li IEEE Access 7, 181565-181579, 2019 | 51 | 2019 |
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 | 48 | 2021 |
Anomaly detection in airline routine operations using flight data recorder data L Li Massachusetts Institute of Technology Cambridge, MA 02139 USA, 2013 | 46 | 2013 |
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 | 40 | 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 | 39 | 2021 |
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 | 39 | 2019 |
Early-stage lifetime prediction for lithium-ion batteries: A deep learning framework jointly considering machine-learned and handcrafted data features Z Fei, Z Zhang, F Yang, KL Tsui, L Li Journal of Energy Storage 52, 104936, 2022 | 35 | 2022 |
A city is not a tree: A multi-city study on street network and urban life J Huang, Y Cui, H Chang, H Obracht-Prondzyńska, ... Landscape and Urban Planning 226, 104469, 2022 | 34 | 2022 |
A route network planning method for urban air delivery X He, F He, L Li, L Zhang, G Xiao Transportation Research Part E: Logistics and Transportation Review 166, 102872, 2022 | 32 | 2022 |