Zhenliang Ma

1.9k total citations
95 papers, 1.2k citations indexed

About

Zhenliang Ma is a scholar working on Transportation, Building and Construction and Automotive Engineering. According to data from OpenAlex, Zhenliang Ma has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Transportation, 48 papers in Building and Construction and 24 papers in Automotive Engineering. Recurrent topics in Zhenliang Ma's work include Transportation Planning and Optimization (57 papers), Traffic Prediction and Management Techniques (48 papers) and Human Mobility and Location-Based Analysis (30 papers). Zhenliang Ma is often cited by papers focused on Transportation Planning and Optimization (57 papers), Traffic Prediction and Management Techniques (48 papers) and Human Mobility and Location-Based Analysis (30 papers). Zhenliang Ma collaborates with scholars based in Sweden, China and Australia. Zhenliang Ma's co-authors include Haris N. Koutsopoulos, Mahmoud Mesbah, Neema Nassir, Mark Hickman, Jianping Xing, Pengfei Zhang, Luís Ferreira, Luís Lino Ferreira, Jinhua Zhao and Sicong Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Zhenliang Ma

84 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhenliang Ma Sweden 21 834 542 302 174 119 95 1.2k
Fang Zong China 19 481 0.6× 483 0.9× 283 0.9× 299 1.7× 78 0.7× 66 1.1k
Hilmi Berk Çelikoğlu Türkiye 22 620 0.7× 557 1.0× 287 1.0× 616 3.5× 126 1.1× 54 1.2k
Rahul Nair Ireland 15 844 1.0× 444 0.8× 569 1.9× 164 0.9× 84 0.7× 39 1.3k
Mingheng Zhang China 15 449 0.5× 385 0.7× 313 1.0× 237 1.4× 94 0.8× 61 1.2k
Gaetano Fusco Italy 18 500 0.6× 430 0.8× 292 1.0× 344 2.0× 141 1.2× 71 974
Wenzhou Jin China 16 599 0.7× 357 0.7× 386 1.3× 345 2.0× 83 0.7× 42 934
Qixiu Cheng China 20 727 0.9× 547 1.0× 336 1.1× 534 3.1× 85 0.7× 61 1.1k
Xianbiao Hu United States 18 502 0.6× 343 0.6× 431 1.4× 307 1.8× 113 0.9× 77 1.0k
Zhenzhou Yuan China 20 620 0.7× 529 1.0× 275 0.9× 454 2.6× 79 0.7× 77 1.2k
Ruichun He China 16 304 0.4× 214 0.4× 199 0.7× 254 1.5× 51 0.4× 77 826

Countries citing papers authored by Zhenliang Ma

Since Specialization
Citations

This map shows the geographic impact of Zhenliang Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhenliang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenliang Ma more than expected).

Fields of papers citing papers by Zhenliang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhenliang Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhenliang Ma. The network helps show where Zhenliang Ma may publish in the future.

Co-authorship network of co-authors of Zhenliang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenliang Ma. A scholar is included among the top collaborators of Zhenliang Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenliang Ma. Zhenliang Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tang, Yihong, et al.. (2025). RouteKG: A Knowledge Graph-Based Framework for Route Prediction on Road Networks. IEEE Transactions on Intelligent Transportation Systems. 26(12). 22277–22295. 1 indexed citations
2.
Ma, Zhenliang, et al.. (2025). A review of knowledge graph construction using large language models in transportation: Problems, methods, and challenges. Transportation Research Part C Emerging Technologies. 183. 105428–105428.
3.
Wang, Leizhen, et al.. (2025). Agentic Large Language Models for day-to-day route choices. Transportation Research Part C Emerging Technologies. 180. 105307–105307. 1 indexed citations
4.
Yu, Haiyang, et al.. (2024). MuGIL: A Multi-Graph Interaction Learning Network for Multi-Task Traffic Prediction. Knowledge-Based Systems. 306. 112709–112709. 3 indexed citations
5.
Liu, Bing, Zhenliang Ma, Hui Kong, & Xiaolei Ma. (2024). How incentives affect commuter willingness for public transport: Analysis of travel mode shift across various cities. Travel Behaviour and Society. 39. 100966–100966. 4 indexed citations
6.
Yan, Haoyang, Yuan Liao, Zhenliang Ma, & Xiaolei Ma. (2024). Improving multi-modal transportation recommendation systems through contrastive De-biased heterogenous graph neural networks. Transportation Research Part C Emerging Technologies. 164. 104689–104689. 7 indexed citations
7.
Zhang, Qi, et al.. (2024). Understanding bus network delay propagation: Integration of causal inference and complex network theory. Journal of Transport Geography. 123. 104098–104098.
8.
Liu, Ming, et al.. (2024). Traffic Signal Phase and Timing Estimation Using Trajectory Data From Radar Vision Integrated Camera. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18279–18291.
9.
Jia, Ruo, Kun Gao, Yang Liu, et al.. (2024). i-CLTP: Integrated contrastive learning with transformer framework for traffic state prediction and network-wide analysis. Transportation Research Part C Emerging Technologies. 171. 104979–104979. 2 indexed citations
10.
Zhang, Qi, et al.. (2024). Real-time bus arrival delays analysis using seemingly unrelated regression model. Transportation. 53(2). 571–602. 4 indexed citations
11.
Ma, Zhenliang, et al.. (2024). Pedestrian Crossing Intention Prediction in the Wild: A Survey. 1(4). 263–279.
12.
Koutsopoulos, Haris N., et al.. (2024). A Reverse Auction-Based Individualized Incentive System for Transit Mobility Management. IEEE Transactions on Intelligent Transportation Systems. 25(11). 15871–15885. 2 indexed citations
13.
Cui, Shaohua, Kun Gao, Bin Yu, Zhenliang Ma, & Arsalan Najafi. (2023). Joint optimal vehicle and recharging scheduling for mixed bus fleets under limited chargers. Transportation Research Part E Logistics and Transportation Review. 180. 103335–103335. 20 indexed citations
14.
Ma, Zhenliang, et al.. (2023). User-station attention inference using smart card data: a knowledge graph assisted matrix decomposition model. Applied Intelligence. 53(19). 21944–21960. 2 indexed citations
15.
Wang, Leizhen, Xin Chen, Zhenliang Ma, et al.. (2023). Data-driven analysis and modeling of individual longitudinal behavior response to fare incentives in public transport. Transportation. 52(1). 263–286. 4 indexed citations
16.
Ma, Zhenliang, et al.. (2023). Mobility knowledge graph: review and its application in public transport. Transportation. 52(3). 1119–1145. 5 indexed citations
17.
Ma, Zhenliang, Abhishek Basu, Tianyou Liu, & Haris N. Koutsopoulos. (2019). Behavioral Response to Transit Demand Management Promotions: Sustainability and Implications for Optimal Promotion Design. Transportation Research Board 98th Annual MeetingTransportation Research Board. 3 indexed citations
18.
Ma, Zhenliang, et al.. (2019). Evaluation of On-Demand Ridesplitting Services. Transportation Research Board 98th Annual MeetingTransportation Research Board. 2 indexed citations
19.
Ma, Zhenliang, et al.. (2016). Estimation of Traffic State Transition Probabilities and Its Application to Travel Time Prediction. Transportation Research Board 95th Annual MeetingTransportation Research Board. 1 indexed citations
20.
Ma, Zhenliang, Luís Ferreira, & Mahmoud Mesbah. (2013). A framework for the development of bus service reliability measures. Queensland's institutional digital repository (The University of Queensland). 1–15. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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