Tianlu Mao

1.3k total citations · 1 hit paper
59 papers, 836 citations indexed

About

Tianlu Mao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Ocean Engineering. According to data from OpenAlex, Tianlu Mao has authored 59 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 27 papers in Control and Systems Engineering and 18 papers in Ocean Engineering. Recurrent topics in Tianlu Mao's work include Evacuation and Crowd Dynamics (16 papers), Autonomous Vehicle Technology and Safety (15 papers) and 3D Shape Modeling and Analysis (15 papers). Tianlu Mao is often cited by papers focused on Evacuation and Crowd Dynamics (16 papers), Autonomous Vehicle Technology and Safety (15 papers) and 3D Shape Modeling and Analysis (15 papers). Tianlu Mao collaborates with scholars based in China, United States and United Kingdom. Tianlu Mao's co-authors include Huikun Bi, Zhaoqi Wang, Zhaoxin Li, Zhigang Deng, Shihong Xia, Zhaoqi Wang, Shaohua Liu, Zhaoqi Wang, Hao Jiang and Qianwen Chao and has published in prestigious journals such as IEEE Access, Pattern Recognition and Neurocomputing.

In The Last Decade

Tianlu Mao

52 papers receiving 803 citations

Hit Papers

align trajectories

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.

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

2019 390 citations Huikun Bi, Tianlu Mao et al. profile →

Peers

Tianlu Mao

AE

CVPR

SRRQ

AI

BC

Huikun Bi China

Hang Zhao China

Alon Lerner Israel

Qinhong Jiang China

Julian F. P. Kooij Netherlands

Sławomir Bąk United States

Hang Zhao China

Georges S. Aoude United States

Ming-Fang Chang Taiwan

Paul Vernaza United States

Huikun Bi China

Tianlu Mao

530 ×1.2

AE

319 ×0.8

CVPR

227 ×1.1

SRRQ

202 ×1.0

AI

246 ×1.3

BC

Citations per year, relative to Tianlu Mao Tianlu Mao (= 1×) peers Huikun Bi

Countries citing papers authored by Tianlu Mao

Since Specialization

Citations

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

Fields of papers citing papers by Tianlu Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianlu Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Tianlu Mao. A scholar is included among the top collaborators of Tianlu Mao 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 Tianlu Mao. Tianlu Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Liu, Cong, et al.. (2025). MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo. Proceedings of the AAAI Conference on Artificial Intelligence. 39(9). 9753–9762. 4 indexed citations

2.

Liu, Shaohua, et al.. (2024). DTDNet: Dynamic Target Driven Network for pedestrian trajectory prediction. Frontiers in Neuroscience. 18. 1346374–1346374.

3.

Cao, Jiakai, et al.. (2024). NeRF-based Polarimetric Multi-view Stereo. Pattern Recognition. 158. 111036–111036. 3 indexed citations

4.

Liu, Shaohua, et al.. (2024). SpectrumNet: Spectrum-Based Trajectory Encode Neural Network for Pedestrian Trajectory Prediction. 7075–7079. 2 indexed citations

5.

Yao, Peng‐Fei, et al.. (2024). Modeling Scene-Agent Interaction for Pedestrian Trajectory Prediction. 1–6.

6.

Mao, Tianlu, et al.. (2022). A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common. Computer Graphics Forum. 41(8). 131–142.

7.

Liu, Jing, et al.. (2022). Modeling and simulation analysis of crowd evacuation behavior under terrorist attack. Physica A Statistical Mechanics and its Applications. 604. 127891–127891. 15 indexed citations

8.

Liu, Shaohua, et al.. (2021). Multicomponent Spatial‐Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data. Computational Intelligence and Neuroscience. 2021(1). 9134942–9134942. 5 indexed citations

9.

Mao, Tianlu, et al.. (2021). Learning a shared deformation space for efficient design-preserving garment transfer. Graphical Models. 115. 101106–101106. 4 indexed citations

10.

Shi, Min, et al.. (2020). Saliency-dependent adaptive remeshing for cloth simulation. Textile Research Journal. 91(5-6). 480–495. 2 indexed citations

11.

Chao, Qianwen, Huikun Bi, Weizi Li, et al.. (2019). A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving. Computer Graphics Forum. 39(1). 287–308. 82 indexed citations

12.

Bi, Huikun, Tianlu Mao, Zhaoqi Wang, & Zhigang Deng. (2016). A data-driven model for lane-changing in traffic simulation. 149–158. 20 indexed citations

13.

Wang, Hua, et al.. (2014). An all‐in‐one efficient lane‐changing model for virtual traffic. Computer Animation and Virtual Worlds. 25(3-4). 383–391. 7 indexed citations

14.

Mao, Tianlu, et al.. (2014). Modeling interactions in continuum traffic. 123–124. 2 indexed citations

15.

Lv, Lei, et al.. (2013). Optimization‐based group performance deducing. Computer Animation and Virtual Worlds. 25(2). 171–184. 2 indexed citations

16.

Li, Jian, et al.. (2010). Shape Constraining and Control in Crowd Animation. Journal of Computer-Aided Design & Computer Graphics. 22(7). 1158–1165. 2 indexed citations

17.

Mao, Tianlu, et al.. (2010). 3D interactive clothing animation. 19. V11–449. 1 indexed citations

18.

Jiang, Hao, et al.. (2009). A semantic environment model for crowd simulation in multilayered complex environment. 191–198. 17 indexed citations

19.

Mao, Tianlu, Shihong Xia, & Zhaoqi Wang. (2009). Evaluating simplified air force models for cloth simulation. 81–86. 3 indexed citations

20.

Mao, Tianlu, He Huang, & Zhaoqi Wang. (2004). A faster method for modeling virtual colony. 239–240. 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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