Xiaolei Ma

Citirano

	Sve	Od 2020.
Citati	11573	8633
H-indeks	43	38
i10-indeks	77	72

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Suautori

Yinhai WangProfessor of Civil and Environmental Engineering, University of WashingtonPotvrđena adresa e-pošte na uw.edu
Yong WangProfessor in School of Economics and Management, Chongqing Jiaotong UniversityPotvrđena adresa e-pošte na cqjtu.edu.cn
Chuan DingProfessor, School of Transportation Science and Engineering, Beihang UniversityPotvrđena adresa e-pošte na buaa.edu.cn
Zhuang DaiSouthwest Jiaotong UniversityPotvrđena adresa e-pošte na swjtu.edu.cn
Yao-Jan WuProfessor of Civil Engineering, University of ArizonaPotvrđena adresa e-pošte na arizona.edu
Xiaohan LiuChalmers University of TechnologyPotvrđena adresa e-pošte na chalmers.se
Sen LuanBeijing university of TechnologyPotvrđena adresa e-pošte na bjut.edu.cn
Xiaoyue Cathy LiuUniversity of UtahPotvrđena adresa e-pošte na utah.edu
Zhiyong CuiProfessor, School of Transportation Science and Engineering, Beihang UniversityPotvrđena adresa e-pošte na buaa.edu.cn
Edward McCormackUniversity of WashingtomPotvrđena adresa e-pošte na uw.edu
Xiaobo Qu (曲小波)Chair Professor of Intelligent TransportationPotvrđena adresa e-pošte na tsinghua.edu.cn
Zhengbing HeMITPotvrđena adresa e-pošte na mit.edu
Zhengke LiuBeihang UniversityPotvrđena adresa e-pošte na buaa.edu.cn
Xin LIProfessor, Dalian Maritime UniversityPotvrđena adresa e-pošte na dlmu.edu.cn
Zhenliang MaAssociate Professor @ KTH Royal Institute of TechnologyPotvrđena adresa e-pošte na kth.se
Ruimin KeAssistant Professor at Rensselaer Polytechnic InstitutePotvrđena adresa e-pošte na rpi.edu
Ziyuan PuProfessor, Southeast University; Adjunct Senior Research Fellow, Monash UniversityPotvrđena adresa e-pošte na monash.edu
Guangquan Lu北京航空航天大学交通科学与工程学院教授Potvrđena adresa e-pošte na buaa.edu.cn
Bowen DuBeihang UniversityPotvrđena adresa e-pošte na buaa.edu.cn
Xiaopeng "Shaw" LiUniversity of Wisconsin-MadisonPotvrđena adresa e-pošte na wisc.edu

Prati

Xiaolei Ma

Professor, Beihang University

Potvrđena adresa e-pošte na buaa.edu.cn - Početna stranica

Transportation


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data X Ma, Z Tao, Y Wang, H Yu, Y Wang Transportation Research Part C: Emerging Technologies 54, 187-197, 2015	2300	2015
Learning traffic as images: A deep convolutional neural network for large-scale transportation network speed prediction X Ma, Z Dai, Z He, J Ma, Y Wang, Y Wang sensors 17 (4), 818, 2017	1536	2017
Mining Smart Card Data for Transit Riders' Travel Patterns X Ma, YJ Wu, Y Wang, F Chen, J Liu Transportation Research Part C: Emerging Technologies 36, 1-12, 2013	788	2013
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks H Yu, Z Wu, S Wang, Y Wang, X Ma Sensors 17 (7), 1501, 2017	673	2017
Large-scale transportation network congestion evolution prediction using deep learning theory X Ma, H Yu, Y Wang, Y Wang PloS one 10 (3), e0119044, 2015	616	2015
Understanding commuting patterns using transit smart card data X Ma, C Liu, H Wen, Y Wang, YJ Wu Journal of Transport Geography 58, 135-145, 2017	397	2017
A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership X Ma, J Zhang, C Ding, Y Wang Computers, Environment and Urban Systems 70, 113-124, 2018	271	2018
Forecasting short-term subway passenger flow under special events scenarios using multiscale radial basis function networks Y Li, X Wang, S Sun, X Ma, G Lu Transportation Research Part C: Emerging Technologies 77, 306-328, 2017	255	2017
Prioritizing influential factors for freeway incident clearance time prediction using the gradient boosting decision trees method X Ma, C Ding, S Luan, Y Wang, Y Wang IEEE Transactions on Intelligent Transportation Systems 18 (9), 2303-2310, 2017	252	2017
Predicting short-term subway ridership and prioritizing its influential factors using gradient boosting decision trees C Ding, D Wang, X Ma, H Li Sustainability 8 (11), 1100, 2016	196	2016
Parallel architecture of convolutional bi-directional LSTM neural networks for network-wide metro ridership prediction X Ma, J Zhang, B Du, C Ding, L Sun IEEE Transactions on Intelligent Transportation Systems 20 (6), 2278-2288, 2018	192	2018
Profit distribution in collaborative multiple centers vehicle routing problem Y Wang, X Ma, Z Li, Y Liu, M Xu, Y Wang Journal of cleaner production 144, 203-219, 2017	188	2017
Learning dynamic and hierarchical traffic spatiotemporal features with transformer H Yan, X Ma, Z Pu IEEE Transactions on Intelligent Transportation Systems 23 (11), 22386-22399, 2021	170	2021
Two-echelon location-routing optimization with time windows based on customer clustering Y Wang, K Assogba, Y Liu, X Ma, M Xu, Y Wang Expert Systems with Applications 104, 244-260, 2018	157	2018
Forecasting transportation network speed using deep capsule networks with nested LSTM models X Ma, H Zhong, Y Li, J Ma, Z Cui, Y Wang IEEE Transactions on Intelligent Transportation Systems 22 (8), 4813-4824, 2020	147	2020
A fuzzy-based customer clustering approach with hierarchical structure for logistics network optimization Y Wang, X Ma, Y Lao, Y Wang Expert systems with applications 41 (2), 521-534, 2014	139	2014
Impacts of free-floating bikesharing system on public transit ridership X Ma, X Zhang, X Li, X Wang, X Zhao Transportation research part D: transport and environment 76, 100-110, 2019	135	2019
Sustainable station-level planning: An integrated transport and land use design model for transit-oriented development X Ma, X Chen, X Li, C Ding, Y Wang Journal of Cleaner Production 170, 1052-1063, 2018	125	2018
Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction Z Cui, R Ke, Z Pu, X Ma, Y Wang Transportation Research Part C: Emerging Technologies 115, 102620, 2020	124	2020
Cooperation and profit allocation in two-echelon logistics joint distribution network optimization Y Wang, X Ma, M Liu, K Gong, Y Liu, M Xu, Y Wang Applied Soft Computing 56, 143-157, 2017	122	2017

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