Wei Ma

1.7k total citations
94 papers, 1.1k citations indexed

About

Wei Ma is a scholar working on Building and Construction, Transportation and Control and Systems Engineering. According to data from OpenAlex, Wei Ma has authored 94 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Building and Construction, 39 papers in Transportation and 31 papers in Control and Systems Engineering. Recurrent topics in Wei Ma's work include Traffic Prediction and Management Techniques (40 papers), Transportation Planning and Optimization (36 papers) and Traffic control and management (26 papers). Wei Ma is often cited by papers focused on Traffic Prediction and Management Techniques (40 papers), Transportation Planning and Optimization (36 papers) and Traffic control and management (26 papers). Wei Ma collaborates with scholars based in Hong Kong, China and United States. Wei Ma's co-authors include Sean Qian, Xidong Pi, Jinlei Zhang, Chen Feng, Zhengbing He, William H. K. Lam, Andy H.F. Chow, S.C. Wong, Yihong Tang and Lixing Yang and has published in prestigious journals such as Expert Systems with Applications, Sensors and Pattern Recognition.

In The Last Decade

Wei Ma

80 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Ma Hong Kong 16 614 518 254 203 103 94 1.1k
Xianyuan Zhan China 18 449 0.7× 599 1.2× 272 1.1× 173 0.9× 95 0.9× 43 1.1k
Yun Wei China 21 431 0.7× 489 0.9× 339 1.3× 149 0.7× 82 0.8× 79 1.2k
Mingheng Zhang China 15 385 0.6× 449 0.9× 237 0.9× 313 1.5× 108 1.0× 61 1.2k
Ibai Laña Spain 12 471 0.8× 335 0.6× 221 0.9× 103 0.5× 140 1.4× 41 808
Kristian Henrickson United States 11 661 1.1× 513 1.0× 310 1.2× 83 0.4× 171 1.7× 15 1.1k
Fang Zong China 19 483 0.8× 481 0.9× 299 1.2× 283 1.4× 63 0.6× 66 1.1k
Mohammed Elhenawy Australia 16 360 0.6× 381 0.7× 256 1.0× 368 1.8× 117 1.1× 111 974
Yong Qi China 17 412 0.7× 380 0.7× 263 1.0× 74 0.4× 152 1.5× 49 988
Yao‐Jan Wu United States 19 591 1.0× 770 1.5× 345 1.4× 225 1.1× 37 0.4× 78 1.3k

Countries citing papers authored by Wei Ma

Since Specialization
Citations

This map shows the geographic impact of Wei 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 Wei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ma more than expected).

Fields of papers citing papers by Wei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei 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 Wei Ma. The network helps show where Wei Ma may publish in the future.

Co-authorship network of co-authors of Wei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Ma. A scholar is included among the top collaborators of Wei 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 Wei Ma. Wei 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.
Ma, Wei, et al.. (2025). Why do they travel backwards? Understanding passenger travel behaviour in congested urban public transport systems. Transportation Research Part A Policy and Practice. 200. 104630–104630.
2.
Yu, Jiajie, Yuhong Wang, & Wei Ma. (2025). Large language model-enhanced reinforcement learning for generic bus holding control strategies. Transportation Research Part E Logistics and Transportation Review. 200. 104142–104142. 3 indexed citations
3.
Li, Zhichun, et al.. (2025). Modeling the curbside congestion effects of ride-hailing services for morning commute using bi-modal two-tandem bottlenecks. Transportation Research Part B Methodological. 199. 103276–103276.
4.
Ding, Heng, et al.. (2025). Macroscopic characteristics of road network traffic flow under delay cyberattacks in a connected vehicle environment. Physica A Statistical Mechanics and its Applications. 670. 130641–130641. 2 indexed citations
5.
Meng, Yangyang, et al.. (2025). Vulnerability assessment of large-scale urban road network under emerging disinformation attacks. Transportmetrica A Transport Science. 1–25. 1 indexed citations
6.
Ma, Wei, et al.. (2024). Maximin headway control of automated vehicles for system optimal dynamic traffic assignment in general networks. Transportation Research Part E Logistics and Transportation Review. 188. 103628–103628. 3 indexed citations
7.
8.
Ma, Wei, et al.. (2024). An elastodynamic modeling approach based on experimental substructuring for a mobile hybrid robot. Mechanism and Machine Theory. 205. 105892–105892. 1 indexed citations
9.
Ma, Wei, et al.. (2024). High-precision motion control of underwater gliders based on reinforcement learning. Ocean Engineering. 310. 118603–118603. 4 indexed citations
10.
Wong, Man Sing, et al.. (2024). A time-series based deep survival analysis model for failure prediction in urban infrastructure systems. Engineering Applications of Artificial Intelligence. 136. 108876–108876. 2 indexed citations
11.
Li, Zhuang, et al.. (2024). Reliability-based journey time prediction via two-stream deep learning with multi-source data. Journal of Intelligent Transportation Systems. 29(2). 134–152. 5 indexed citations
12.
Han, Yu, et al.. (2024). Perimeter control with heterogeneous metering rates for cordon signals: A physics-regularized multi-agent reinforcement learning approach. Transportation Research Part C Emerging Technologies. 171. 104944–104944. 7 indexed citations
13.
Huang, Xiao, et al.. (2024). Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing. IEEE Transactions on Intelligent Transportation Systems. 25(9). 11439–11451.
14.
Ma, Wei, et al.. (2023). Demonstration-guided deep reinforcement learning for coordinated ramp metering and perimeter control in large scale networks. Transportation Research Part C Emerging Technologies. 159. 104461–104461. 6 indexed citations
15.
Lam, William H. K., et al.. (2023). Turning traffic surveillance cameras into intelligent sensors for traffic density estimation. Complex & Intelligent Systems. 9(6). 7171–7195. 5 indexed citations
16.
17.
Huang, Xiao, et al.. (2023). Beyond Prediction: On-Street Parking Recommendation Using Heterogeneous Graph-Based List-Wise Ranking. IEEE Transactions on Intelligent Transportation Systems. 25(6). 5892–5903. 1 indexed citations
18.
Ho, H.W., et al.. (2022). Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images. Journal of Intelligent Transportation Systems. 27(3). 364–383. 10 indexed citations
19.
Chen, Bi Yu, William H. K. Lam, H.W. Ho, et al.. (2021). Vehicle Re-identification for Lane-level Travel Time Estimations on Congested Urban Road Networks Using Video Images. IEEE Transactions on Intelligent Transportation Systems. 23(8). 12877–12893. 32 indexed citations
20.
Sun, Xuefang, et al.. (2017). Effect of tillage practice and fertilization on dry matter accumulation and grain yield of summer maize (Zea mays L.).. Zhongguo nongye Kexue. 50(11). 2129–2140. 6 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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