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Zhenliang Ma

Observed names: Ma Zhenliang -, Ma, ZhenLiang, Ma, Zhenliang, ZHENLIANG MA, Zhen-Liang Ma
Observed institutions: Northeastern University, Shandong University, The University of Queensland, University of Bremen, Digital Futures, Monash University, Southeast University, Beihang University, KTH Royal Institute of Technology
ORCID: 0000-0002-2141-0389
Observed ORCID: 0000-0002-2141-0389
OpenAlex ID: A5072433020
Predicting short-term bus passenger demand using a pattern hybrid approach
2014 · Zhenliang Ma, Jianping Xing, et al. · Transportation Research Part C Emerging Technologies · 138
Activity detection and transfer identification for public transit fare card data
2015 · Neema Nassir, Mark Hickman, et al. · Transportation · 120
Estimation of trip travel time distribution using a generalized Markov chain approach
2016 · Zhenliang Ma, Haris N. Koutsopoulos, et al. · Transportation Research Part C Emerging Technologies · 116
A review of data-driven approaches to predict train delays
2023 · Kah Yong Tiong, Zhenliang Ma, et al. · Transportation Research Part C Emerging Technologies · 87
Individual mobility prediction review: Data, problem, method and application
2022 · Zhenliang Ma, Pengfei Zhang · Multimodal Transportation · 82
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Deep learning for short-term origin–destination passenger flow prediction under partial observability in urban railway systems
2022 · Wenhua Jiang, Zhenliang Ma, et al. · Neural Computing and Applications · 71
Integrated optimization of timetable, bus formation, and vehicle scheduling in autonomous modular public transport systems
2023 · Zhengke Liu, Gonçalo Homem de Almeida Correia, et al. · Transportation Research Part C Emerging Technologies · 67
Modeling distributions of travel time variability for bus operations
2015 · Zhenliang Ma, Luis Ferreira, et al. · Journal of Advanced Transportation · 67
Demand management of congested public transport systems: a conceptual framework and application using smart card data
2019 · Anne Halvorsen, Haris N. Koutsopoulos, et al. · Transportation · 64
A strategy-based recursive path choice model for public transit smart card data
2018 · Neema Nassir, Mark Hickman, et al. · Transportation Research Part B Methodological · 58
Online prediction of network-level public transport demand based on principle component analysis
2023 · Cheng Zhong, Peiling Wu, et al. · Communications in Transportation Research · 54
Agentic Large Language Models for day-to-day route choices
2025 · Leizhen Wang, Peibo Duan, et al. · Transportation Research Part C Emerging Technologies · 49
Modeling Bus Travel Time Reliability with Supply and Demand Data from Automatic Vehicle Location and Smart Card Systems
2015 · Zhen-Liang Ma, Luis Ferreira, et al. · Transportation Research Record Journal of the Transportation Research Board · 47
Unveiling electric vehicle (EV) charging patterns and their transformative role in electricity balancing and delivery: Insights from real-world data in Sweden
2024 · Pei Huang, Zhenliang Ma · Renewable Energy · 46
Joint optimal vehicle and recharging scheduling for mixed bus fleets under limited chargers
2023 · Shaohua Cui, Kun Gao, et al. · Transportation Research Part E Logistics and Transportation Review · 45
Near-on-demand mobility. The benefits of user flexibility for ride-pooling services
2021 · Zhenliang Ma, Haris N. Koutsopoulos · Transportation Research Part C Emerging Technologies · 41
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PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial–Temporal Attention Graph Convolution Networks
2024 · Yancheng Ling, Zhenliang Ma, et al. · IEEE Transactions on Intelligent Transportation Systems · 38
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Capacity-Constrained Network Performance Model for Urban Rail Systems
2020 · Baichuan Mo, Zhenliang Ma, et al. · Transportation Research Record Journal of the Transportation Research Board · 38
Short-Term Passenger Flow Prediction With Decomposition in Urban Railway Systems
2020 · Yangyang Zhao, Zhenliang Ma, et al. · IEEE Access · 36
Estimation of Denied Boarding in Urban Rail Systems: Alternative Formulations and Comparative Analysis
2019 · Zhenliang Ma, Haris N. Koutsopoulos, et al. · Transportation Research Record Journal of the Transportation Research Board · 36
Deep Reinforcement Learning Based Traffic Signal Control: A Comparative Analysis
2023 · Chunliang Wu, Inhi Kim, et al. · Procedia Computer Science · 35
Transit Data Analytics for Planning, Monitoring, Control, and Information
2018 · Haris N. Koutsopoulos, Zhenliang Ma, et al. · Elsevier eBooks · 34
DeepTrip: A Deep Learning Model for the Individual Next Trip Prediction With Arbitrary Prediction Times
2023 · Pengfei Zhang, Haris N. Koutsopoulos, et al. · IEEE Transactions on Intelligent Transportation Systems · 33
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Optimal design of promotion based demand management strategies in urban rail systems
2019 · Zhenliang Ma, Haris N. Koutsopoulos · Transportation Research Part C Emerging Technologies · 33
Improved IMM Algorithm for Nonlinear Maneuvering Target Tracking
2012 · Liang Gao, Jianping Xing, et al. · Procedia Engineering · 33
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Works count: 175
Citation count: 2,421
H-index: 29
I10-index: 65
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