Dongchun Ren

818 total citations
26 papers, 499 citations indexed

About

Dongchun Ren is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Dongchun Ren has authored 26 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 17 papers in Automotive Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Dongchun Ren's work include Autonomous Vehicle Technology and Safety (17 papers), Video Surveillance and Tracking Methods (9 papers) and Robotic Path Planning Algorithms (6 papers). Dongchun Ren is often cited by papers focused on Autonomous Vehicle Technology and Safety (17 papers), Video Surveillance and Tracking Methods (9 papers) and Robotic Path Planning Algorithms (6 papers). Dongchun Ren collaborates with scholars based in China and Hong Kong. Dongchun Ren's co-authors include Mingyu Fan, Hao Zhou, Xu Yang, Hai Huang, Changqian Yu, Liang Du, Youjian Zhao, Xinge Zhu, Wei Li and Hai Huang and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and Neurocomputing.

In The Last Decade

Dongchun Ren

26 papers receiving 489 citations

Peers

Dongchun Ren

CVPR

AE

AI

SRRQ

BC

Ben Sapp United States

Jürgen Wiest Germany

Véronique Cherfaoui France

Jiachen Li United States

Sajjad Mozaffari United Kingdom

Hengbo Ma United States

Xiaosong Jia China

Liangji Fang China

Stefan Atev United States

Andreas Tamke Germany

Ben Sapp United States

Dongchun Ren

438 ×1.7

CVPR

250 ×1.0

AE

251 ×1.7

AI

81 ×0.8

SRRQ

77 ×0.9

BC

Citations per year, relative to Dongchun Ren Dongchun Ren (= 1×) peers Ben Sapp

Countries citing papers authored by Dongchun Ren

Since Specialization

Citations

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

Fields of papers citing papers by Dongchun Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongchun Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Dongchun Ren. A scholar is included among the top collaborators of Dongchun Ren 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 Dongchun Ren. Dongchun Ren 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.

Li, Yuhang, Changsheng Li, Rongqing Li, et al.. (2024). FDNet: Feature Decoupling Framework for Trajectory Prediction. 9997–10004. 1 indexed citations

2.

Ren, Dongchun, et al.. (2024). On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving. 15099–15108. 4 indexed citations

3.

Zhou, Hao, et al.. (2023). Static-dynamic global graph representation for pedestrian trajectory prediction. Knowledge-Based Systems. 277. 110775–110775. 18 indexed citations

4.

Jia, Qing‐Shan, et al.. (2023). An OCBA-Based Method for Efficient Sample Collection in Reinforcement Learning. IEEE Transactions on Automation Science and Engineering. 21(3). 3615–3626. 8 indexed citations

5.

Yu, Changqian, et al.. (2023). Hybrid Motion Representation Learning for Prediction From Raw Sensor Data. IEEE Transactions on Multimedia. 25. 8868–8879. 2 indexed citations

6.

Xing, Xuetao, Bolin Zhao, Chao Han, Dongchun Ren, & Huaxia Xia. (2022). Vehicle Motion Planning With Joint Cartesian-Frenét MPC. IEEE Robotics and Automation Letters. 7(4). 10738–10745. 13 indexed citations

7.

Yu, Changqian, et al.. (2022). CORE: Consistent Representation Learning for Face Forgery Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 12–21. 49 indexed citations

8.

Zhou, Hao, Dongchun Ren, Xu Yang, Mingyu Fan, & Hai Huang. (2022). CSR: Cascade Conditional Variational Auto Encoder with Socially-aware Regression for Pedestrian Trajectory Prediction. Pattern Recognition. 133. 109030–109030. 14 indexed citations

9.

Ren, Dongchun, et al.. (2022). Robust Path Planner for Autonomous Vehicles on Roads With Large Curvature. IEEE Robotics and Automation Letters. 7(2). 2503–2510. 16 indexed citations

10.

Zhou, Hao, et al.. (2021). AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction. Neurocomputing. 445. 298–308. 124 indexed citations

11.

Ren, Dongchun, et al.. (2021). Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes. ACM Transactions on Intelligent Systems and Technology. 13(1). 1–16. 9 indexed citations

12.

Ren, Dongchun, et al.. (2021). Star Topology based Interaction for Robust Trajectory Forecasting in Dynamic Scene. 3255–3261. 2 indexed citations

13.

Ren, Dongchun, et al.. (2021). Tra2Tra: Trajectory-to-Trajectory Prediction With a Global Social Spatial-Temporal Attentive Neural Network. IEEE Robotics and Automation Letters. 6(2). 1574–1581. 27 indexed citations

14.

Li, Kuo, et al.. (2020). A Game-Theoretic Reinforcement Learning Approach for Adaptive Interaction at Intersections. 4451–4456. 8 indexed citations

15.

Ren, Dongchun, et al.. (2019). StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology. 8075–8080. 65 indexed citations

16.

Ren, Dongchun, et al.. (2018). End-to-End Learning Driver Policy using Moments Deep Neural Network. 1533–1538. 1 indexed citations

17.

Fan, Mingyu, et al.. (2015). Efficient sequential feature selection based on adaptive eigenspace model. Neurocomputing. 161. 199–209. 30 indexed citations

18.

Ren, Dongchun, et al.. (2013). A biologically inspired model of emotion eliciting from visual stimuli. Neurocomputing. 121. 328–336. 10 indexed citations

19.

Xie, Lun, et al.. (2011). Research of Driver Emotion Model under Simplified Traffic Condition. ACTA AUTOMATICA SINICA. 36(12). 1732–1743. 5 indexed citations

20.

Zhang, Zhenxin, et al.. (2008). A sonar data based particle filtering localization method for mobile robot. 11. 3920–3924. 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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