Lijun Sun

5.9k total citations · 3 hit papers
133 papers, 4.1k citations indexed

About

Lijun Sun is a scholar working on Transportation, Building and Construction and Automotive Engineering. According to data from OpenAlex, Lijun Sun has authored 133 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Transportation, 41 papers in Building and Construction and 30 papers in Automotive Engineering. Recurrent topics in Lijun Sun's work include Transportation Planning and Optimization (37 papers), Traffic Prediction and Management Techniques (34 papers) and Human Mobility and Location-Based Analysis (22 papers). Lijun Sun is often cited by papers focused on Transportation Planning and Optimization (37 papers), Traffic Prediction and Management Techniques (34 papers) and Human Mobility and Location-Based Analysis (22 papers). Lijun Sun collaborates with scholars based in Canada, China and United States. Lijun Sun's co-authors include Xinyu Chen, Der‐Horng Lee, Kay W. Axhausen, Alexander Erath, Jian Gang Jin, Yafeng Yin, Zhaocheng He, Xianfeng Huang, Loon Ching Tang and Zhanhong Cheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Lijun Sun

121 papers receiving 4.0k citations

Hit Papers

A Bayesian tensor decomposition approach for spatiotempor... 2017 2026 2020 2023 2018 2017 2021 50 100 150 200 250
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. A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation
    2018 273 citations Xinyu Chen, Zhaocheng He et al. Transportation Research Part C Emerging Technologies profile →
  2. Discovering themes and trends in transportation research using topic modeling
    2017 221 citations Lijun Sun et al. Transportation Research Part C Emerging Technologies profile →
  3. Bayesian Temporal Factorization for Multidimensional Time Series Prediction
    2021 192 citations Xinyu Chen, Lijun Sun profile →

Peers

Lijun Sun
Xuan Song China
Pu Wang China
Zhiyuan Liu China
Chen Chen China
Jianping Wu China
Hans van Lint Netherlands
Erik Jenelius Sweden
Zhang Xiong China
Enrique Castillo Spain
Song Gao United States
Xuan Song China
Lijun Sun
Citations per year, relative to Lijun Sun Lijun Sun (= 1×) peers Xuan Song

Countries citing papers authored by Lijun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Sun. A scholar is included among the top collaborators of Lijun Sun 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 Lijun Sun. Lijun Sun 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.
2.
Choi, Seongjin, et al.. (2025). A gentle introduction and tutorial on Deep Generative Models in transportation research. Transportation Research Part C Emerging Technologies. 176. 105145–105145. 3 indexed citations
3.
Choi, Seongjin, et al.. (2025). Probabilistic Traffic Forecasting with Dynamic Regression. Transportation Science. 59(4). 689–707. 1 indexed citations
4.
Choi, Seongjin, et al.. (2025). Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting. Transportation Science. 59(4). 708–720. 1 indexed citations
5.
You, Chengzeng, et al.. (2025). The future of urban cycling: A predictive framework for climate change. Transportation Research Part D Transport and Environment. 143. 104722–104722.
6.
Li, Fan, et al.. (2025). Deep Reinforcement Learning- and Information Bottleneck-Enabled Task-Oriented Semantic Communication. IEEE Journal on Selected Areas in Communications. 43(12). 4198–4214.
7.
Chen, Yi, Chaofan Wang, Ali Asghar Heidari, et al.. (2024). Multi-threshold image segmentation using new strategies enhanced whale optimization for lupus nephritis pathological images. Displays. 84. 102799–102799. 6 indexed citations
8.
Jin, Jian Gang, et al.. (2024). Urban rail transit disruption management: Research progress and future directions. Frontiers of Engineering Management. 11(1). 79–91. 12 indexed citations
9.
Chen, Xiaoxu, Zhanhong Cheng, Alexandra M. Schmidt, & Lijun Sun. (2024). Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression. Transportation Research Part B Methodological. 192. 103147–103147. 1 indexed citations
10.
Zhang, Chengyuan, et al.. (2024). Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 608–613. 1 indexed citations
11.
Liang, Yuying, Zaizai Yan, & Lijun Sun. (2024). Reliability analysis of inverse Gaussian processes with two-stage degenerate paths. Heliyon. 10(14). e34625–e34625. 5 indexed citations
12.
Cai, Haiming, et al.. (2024). Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors. Transportation Research Part D Transport and Environment. 128. 104079–104079. 3 indexed citations
13.
Sushama, Laxmi, Lijun Sun, M. N. Khaliq, et al.. (2023). Physics-informed deep learning framework to model intense precipitation events at super resolution. Geoscience Letters. 10(1). 19–19. 6 indexed citations
14.
Zhu, Chun, Sheng‐Qi Yang, Yuanyuan Pu, et al.. (2023). Advanced Progress of the Geo-Energy Technology in China. Energies. 16(19). 6812–6812.
15.
Huang, Ke, Teng Wang, Jiachao Peng, & Lijun Sun. (2023). The Impact of Export Sophistication of the New Energy Industry on Carbon Emissions: An Empirical Study. Energies. 16(9). 3846–3846. 1 indexed citations
16.
Li, Ziyue, Zhishuai Li, Lei Bai, et al.. (2023). A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery. Kölner Universitäts PublikationsServer (Universität zu Köln). 1–8. 1 indexed citations
17.
18.
Sun, Lijun, Xinyu Chen, Zhaocheng He, & Luis Miranda-Moreno. (2019). Pattern Discovery and Anomaly Detection of Individual Travel Behavior using License Plate Recognition Data. Transportation Research Board 98th Annual MeetingTransportation Research Board. 4 indexed citations
19.
Tu, Huizhao, et al.. (2016). A Multi-modal Evacuation Model for Metro Disruptions: Based on Automatic Fare Collection Data in Shanghai, China. Transportation Research Board 95th Annual MeetingTransportation Research Board. 4 indexed citations
20.
Hu, Sheng, et al.. (2010). Using the Levenberg-Marquardt Algorithm to Construct Dynamic Modulus Master Curves. Transportation Research Board 89th Annual MeetingTransportation Research Board. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xuan Song Breakdown of academic impact, for papers by Pu Wang Breakdown of academic impact, for papers by Zhiyuan Liu Breakdown of academic impact, for papers by Chen Chen Breakdown of academic impact, for papers by Jianping Wu Breakdown of academic impact, for papers by Hans van Lint Breakdown of academic impact, for papers by Erik Jenelius Breakdown of academic impact, for papers by Zhang Xiong Breakdown of academic impact, for papers by Enrique Castillo Breakdown of academic impact, for papers by Song Gao
Rankless by CCL
2026