Xiaolei Ma

10.9k total citations · 6 hit papers
180 papers, 8.2k citations indexed

About

Xiaolei Ma is a scholar working on Transportation, Building and Construction and Automotive Engineering. According to data from OpenAlex, Xiaolei Ma has authored 180 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Transportation, 68 papers in Building and Construction and 46 papers in Automotive Engineering. Recurrent topics in Xiaolei Ma's work include Transportation Planning and Optimization (65 papers), Traffic Prediction and Management Techniques (47 papers) and Human Mobility and Location-Based Analysis (32 papers). Xiaolei Ma is often cited by papers focused on Transportation Planning and Optimization (65 papers), Traffic Prediction and Management Techniques (47 papers) and Human Mobility and Location-Based Analysis (32 papers). Xiaolei Ma collaborates with scholars based in China, United States and Sweden. Xiaolei Ma's co-authors include Yunpeng Wang, Yinhai Wang, Haiyang Yu, Zhimin Tao, Zhuang Dai, Yong Wang, Chuan Ding, Zhengbing He, Jihui Ma and Zhihai Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Xiaolei Ma

165 papers receiving 8.0k citations

Hit Papers

Long short-term memory neural network for traffic speed p... 2015 2026 2018 2022 2015 2017 2017 2015 2018 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
    2015 1.6k citations Xiaolei Ma, Yinhai Wang et al. Transportation Research Part C Emerging Technologies profile →
  2. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
    2017 1.1k citations Xiaolei Ma, Yunpeng Wang et al. profile →
  3. Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
    2017 469 citations Yunpeng Wang, Xiaolei Ma et al. profile →
  4. Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
    2015 368 citations Xiaolei Ma, Yunpeng Wang et al. PLoS ONE profile →
  5. A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership
    2018 241 citations Xiaolei Ma, Chuan Ding et al. profile →
  6. Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer
    2021 163 citations Haoyang Yan, Xiaolei Ma et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolei Ma China 42 4.8k 4.6k 2.2k 1.6k 778 180 8.2k
Yisheng Lv China 36 3.8k 0.8× 2.6k 0.6× 2.3k 1.0× 999 0.6× 903 1.2× 201 7.2k
Zhiyuan Liu China 47 2.8k 0.6× 4.4k 0.9× 2.0k 0.9× 2.3k 1.5× 565 0.7× 345 7.1k
Bin Ran United States 47 3.0k 0.6× 3.9k 0.8× 3.5k 1.6× 2.4k 1.5× 555 0.7× 389 7.7k
S. Travis Waller Australia 45 2.1k 0.4× 3.9k 0.9× 2.4k 1.1× 1.9k 1.2× 585 0.8× 359 7.4k
Michel Bierlaire Switzerland 50 1.8k 0.4× 5.4k 1.2× 1.3k 0.6× 1.5k 1.0× 586 0.8× 399 9.4k
Yinhai Wang United States 56 7.0k 1.5× 5.9k 1.3× 4.4k 2.0× 2.6k 1.7× 1.1k 1.4× 412 14.0k
Eleni I. Vlahogianni Greece 36 3.8k 0.8× 3.2k 0.7× 2.3k 1.0× 1.3k 0.8× 308 0.4× 172 6.1k
William H. K. Lam Hong Kong 60 4.0k 0.8× 8.8k 1.9× 4.0k 1.8× 3.1k 2.0× 375 0.5× 397 12.1k
Matthew G. Karlaftis Greece 42 4.3k 0.9× 5.5k 1.2× 2.3k 1.0× 1.4k 0.9× 255 0.3× 162 9.7k
Haris N. Koutsopoulos United States 49 3.7k 0.8× 5.2k 1.1× 3.5k 1.6× 1.8k 1.1× 237 0.3× 211 7.3k

Countries citing papers authored by Xiaolei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Ma. A scholar is included among the top collaborators of Xiaolei 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 Xiaolei Ma. Xiaolei 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.
Zhang, Ronghui, et al.. (2025). MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling. IEEE Transactions on Intelligent Transportation Systems. 26(11). 20450–20463. 1 indexed citations
2.
3.
Zhang, Anming, Constantinos Antoniou, Lucy Budd, et al.. (2025). The Hitchhiker’s Guide to challenges in transport policy research: Towards ANSWERing questions regarding life, mobility, and everything. Transportation Research Part A Policy and Practice. 200. 104650–104650.
4.
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
5.
Liu, Xiaohan, et al.. (2024). Electric bus charging scheduling problem considering charging infrastructure integrated with solar photovoltaic and energy storage systems. Transportation Research Part E Logistics and Transportation Review. 187. 103572–103572. 11 indexed citations
6.
Ma, Xiaolei, et al.. (2024). Restoration sequence optimization for vulnerable metro stations with limited budget: A case study of Beijing, China. Physica A Statistical Mechanics and its Applications. 653. 130102–130102. 4 indexed citations
7.
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
8.
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
9.
Chen, Junzhou, Bo Li, Yong Zhang, et al.. (2024). TDG-Mamba: Advanced Spatiotemporal Embedding for Temporal Dynamic Graph Learning via Bidirectional Information Propagation. IEEE Transactions on Computational Social Systems. 12(5). 2014–2029. 4 indexed citations
10.
Liu, Xiaohan, et al.. (2024). Transforming public transport depots into profitable energy hubs. Nature Energy. 9(10). 1206–1219. 35 indexed citations
11.
Liu, Xiaohan, et al.. (2023). A solar-powered bus charging infrastructure location problem under charging service degradation. Transportation Research Part D Transport and Environment. 119. 103770–103770. 33 indexed citations
12.
Ma, Xiaolei, et al.. (2023). Optimizing Electric Taxi Battery Swapping Stations Featuring Modular Battery Swapping: A Data-Driven Approach. Applied Sciences. 13(3). 1984–1984. 6 indexed citations
13.
Zhang, Chen, Yizhong Zhang, Xiaolei Ma, et al.. (2023). Activation of peroxymonosulfate by an Enteromorpha prolifera derived biochar supported CoFe2O4 catalyst for highly efficient lomefloxacin hydrochloride degradation under a wide pH range. Separation and Purification Technology. 316. 123846–123846. 24 indexed citations
14.
Wang, Shiying & Xiaolei Ma. (2019). Super Connectivity and Diagnosability of Crossed Cubes. 網際網路技術學刊. 20(4). 1287–1296. 3 indexed citations
15.
Ma, Xiaolei, et al.. (2018). A time-varying parameters vector auto-regression model to disentangle the time varying effects between drivers’ responses and tolling on high occupancy toll facilities. Transportation Research Part C Emerging Technologies. 88. 208–226. 7 indexed citations
16.
Ma, Xiaolei, et al.. (2018). Forecasting subway demand in large-scale networks: a deep learning approach. Transportation Research Board 97th Annual MeetingTransportation Research Board. 3 indexed citations
17.
Chen, Cong, et al.. (2016). Big Data Analysis and Knowledge Discovery for Smart City Development Enhancement. Big Data Research. 2(3). 39–47.
18.
Wang, Yong, Xiaolei Ma, Yong Liu, et al.. (2016). A Two-Stage Algorithm for Origin-Destination Matrices Estimation Considering Dynamic Dispersion Parameter for Route Choice. PLoS ONE. 11(1). e0146850–e0146850. 23 indexed citations
19.
Ma, Xiaolei, et al.. (2012). Preparation and regeneration of protoplasts from Nannochloropsis oculata. Haiyang kexue. 36(2). 19–23. 1 indexed citations
20.
Ma, Xiaolei & Edward McCormack. (2010). Using Truck Fleet Management GPS Data to Develop the Foundation for a Performance Measures Program. Transportation Research Board 89th Annual MeetingTransportation Research Board. 2 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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