Leilei Sun

4.0k total citations · 1 hit paper
101 papers, 2.7k citations indexed

About

Leilei Sun is a scholar working on Artificial Intelligence, Transportation and Building and Construction. According to data from OpenAlex, Leilei Sun has authored 101 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 31 papers in Transportation and 31 papers in Building and Construction. Recurrent topics in Leilei Sun's work include Traffic Prediction and Management Techniques (28 papers), Human Mobility and Location-Based Analysis (24 papers) and Transportation Planning and Optimization (20 papers). Leilei Sun is often cited by papers focused on Traffic Prediction and Management Techniques (28 papers), Human Mobility and Location-Based Analysis (24 papers) and Transportation Planning and Optimization (20 papers). Leilei Sun collaborates with scholars based in China, United States and Hong Kong. Leilei Sun's co-authors include Bowen Du, Hui Xiong, Weifeng Lv, Yanjie Fu, Liangzhe Han, Junchen Ye, Chonghui Guo, Le Yu, Junming Liu and Xiao Hu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Leilei Sun

97 papers receiving 2.6k citations

Hit Papers

Dynamic and Multi-faceted Spatio-temporal Deep Learning f... 2021 2026 2022 2024 2021 50 100 150
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. Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting
    2021 164 citations Liangzhe Han, Bowen Du et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leilei Sun China 28 1.1k 903 889 367 326 101 2.7k
Yuxuan Liang China 27 1.2k 1.1× 840 0.9× 796 0.9× 605 1.6× 357 1.1× 130 3.1k
Jianzhong Qi Australia 23 975 0.9× 782 0.9× 1.1k 1.2× 791 2.2× 369 1.1× 123 2.8k
Bowen Du China 31 1.7k 1.6× 1.3k 1.4× 723 0.8× 374 1.0× 577 1.8× 101 3.2k
Myong K. Jeong United States 30 757 0.7× 529 0.6× 801 0.9× 472 1.3× 780 2.4× 133 3.3k
Leye Wang China 34 876 0.8× 1.7k 1.9× 1.0k 1.1× 332 0.9× 176 0.5× 98 4.0k
Zonghan Wu Australia 6 1.7k 1.6× 1.1k 1.2× 734 0.8× 701 1.9× 651 2.0× 8 2.7k
Guojie Song China 25 861 0.8× 810 0.9× 1.2k 1.4× 256 0.7× 499 1.5× 106 3.7k
Weiwei Jiang China 28 764 0.7× 495 0.5× 691 0.8× 330 0.9× 329 1.0× 153 3.3k
Yong Zhang China 26 569 0.5× 394 0.4× 726 0.8× 223 0.6× 558 1.7× 253 2.7k
Huaxiu Yao United States 15 1.7k 1.6× 1.3k 1.5× 719 0.8× 342 0.9× 867 2.7× 46 2.8k

Countries citing papers authored by Leilei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Leilei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leilei Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Leilei Sun. A scholar is included among the top collaborators of Leilei 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 Leilei Sun. Leilei 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.
Ye, Junchen, Qian Liu, Weimiao Li, et al.. (2025). Evolving graph structure learning for multivariate time series forecasting. Knowledge-Based Systems. 315. 113190–113190. 1 indexed citations
2.
Ta, Xuxiang, et al.. (2025). SimPRL: A Simple Contrastive Learning for Path Representation Learning by Joint GPS Trajectories and Road Paths. IEEE Transactions on Intelligent Transportation Systems. 27(1). 400–413.
3.
Xu, Yi, et al.. (2025). Memory-enhanced hierarchical and temporal semantic learning for multi-label patent classification. Expert Systems with Applications. 285. 127556–127556.
4.
Han, Liangzhe, et al.. (2024). MFGCN: Multi-faceted spatial and temporal specific graph convolutional network for traffic-flow forecasting. Knowledge-Based Systems. 306. 112671–112671. 4 indexed citations
5.
Cai, Yanbin, et al.. (2024). Synthesis of a graphene oxide-based zerovalent iron nanocomposite for efficient remediation of Re(VII) from simulated wastewater in high pH. Journal of Water Process Engineering. 65. 105767–105767. 3 indexed citations
6.
Zhang, Chengpeng, et al.. (2024). Effect of thermal treatment and secondary bonds on the storage stability of ready-to-eat sea cucumbers. Process Biochemistry. 147. 295–304. 2 indexed citations
7.
Han, Liangzhe, et al.. (2024). Temporal-aware structure-semantic-coupled graph network for traffic forecasting. Information Fusion. 107. 102339–102339. 8 indexed citations
8.
9.
Sun, Leilei, et al.. (2024). Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 11857–11871. 11 indexed citations
10.
Wang, Pengyang, et al.. (2024). DyGKT: Dynamic Graph Learning for Knowledge Tracing. 409–420. 4 indexed citations
11.
Han, Liangzhe, et al.. (2024). Multi-Faceted Route Representation Learning for Travel Time Estimation. IEEE Transactions on Intelligent Transportation Systems. 25(9). 11782–11793. 4 indexed citations
12.
Xu, Yi, Liangzhe Han, Tongyu Zhu, et al.. (2023). Generic Dynamic Graph Convolutional Network for traffic flow forecasting. Information Fusion. 100. 101946–101946. 65 indexed citations
13.
Ye, Junchen, et al.. (2023). MvTS-library: An open library for deep multivariate time series forecasting. Knowledge-Based Systems. 283. 111170–111170. 7 indexed citations
14.
Lü, Xiaodong, et al.. (2023). Continuous-Time Graph Learning for Cascade Popularity Prediction. 2224–2232. 6 indexed citations
15.
Du, Bowen, et al.. (2022). Heterogeneous structural responses recovery based on multi-modal deep learning. Structural Health Monitoring. 22(2). 799–813. 13 indexed citations
16.
An, Yang, Liang Zhang, Leilei Sun, et al.. (2021). Prediction of Treatment Medicines With Dual Adaptive Sequential Networks. IEEE Transactions on Knowledge and Data Engineering. 34(11). 5496–5509. 12 indexed citations
17.
Du, Bowen, et al.. (2020). Traffic Demand Prediction Based on Dynamic Transition Convolutional Neural Network. IEEE Transactions on Intelligent Transportation Systems. 22(2). 1237–1247. 62 indexed citations
18.
Zhu, Fenghua, et al.. (2020). Taxi Demand Prediction Using Parallel Multi-Task Learning Model. IEEE Transactions on Intelligent Transportation Systems. 23(2). 794–803. 60 indexed citations
19.
Sun, Leilei, et al.. (2019). Passenger Behavior Prediction With Semantic and Multi-Pattern LSTM Model. IEEE Access. 7. 157873–157882. 2 indexed citations
20.
Zhang, Yin, Yue Liu, Ying Zhao, et al.. (2016). Exploratory Factor Analysis for Validating Traditional Chinese Syndrome Patterns of Chronic Atrophic Gastritis. Evidence-based Complementary and Alternative Medicine. 2016(1). 6872890–6872890. 12 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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