Xiaosong Jia

1.3k total citations · 1 hit paper
11 papers, 544 citations indexed

About

Xiaosong Jia is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xiaosong Jia has authored 11 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Xiaosong Jia's work include Autonomous Vehicle Technology and Safety (8 papers), Advanced Neural Network Applications (4 papers) and Reinforcement Learning in Robotics (3 papers). Xiaosong Jia is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Advanced Neural Network Applications (4 papers) and Reinforcement Learning in Robotics (3 papers). Xiaosong Jia collaborates with scholars based in China, United States and Hong Kong. Xiaosong Jia's co-authors include Hongyang Li, Li Chen, Junchi Yan, Xizhou Zhu, Yu Qiao, Qiang Liu, Yihan Hu, Tianwei Lin, Keyu Li and Chonghao Sima and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Xiaosong Jia

10 papers receiving 530 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.

Planning-oriented Autonomous Driving

2023 349 citations Yihan Hu, Li Chen et al. profile →

Peers

Xiaosong Jia

AE

CVPR

AI

BC

CSE

Jürgen Wiest Germany

Dongchun Ren China

Benjamin Caine Germany

Ben Sapp United States

Chonghao Sima China

Kashyap Chitta Germany

Peter Ondrúška United Kingdom

Florian Kuhnt Germany

Véronique Cherfaoui France

Jürgen Wiest Germany

Xiaosong Jia

274 ×1.0

AE

168 ×0.6

CVPR

139 ×0.9

AI

89 ×1.3

BC

79 ×1.2

CSE

Citations per year, relative to Xiaosong Jia Xiaosong Jia (= 1×) peers Jürgen Wiest

Countries citing papers authored by Xiaosong Jia

Since Specialization

Citations

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

Fields of papers citing papers by Xiaosong Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosong Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosong Jia. A scholar is included among the top collaborators of Xiaosong Jia 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 Xiaosong Jia. Xiaosong Jia 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:

11 of 11 papers shown

1.

Jia, Xiaosong, et al.. (2025). FlatFusion: Delving Into Details of Sparse Transformer-Based Camera-LiDAR Fusion for Autonomous Driving. 8581–8588.

2.

Zhang, Peiyuan, Xue Yang, Yi Yu, et al.. (2025). PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection. International Journal of Computer Vision. 133(9). 6108–6128. 2 indexed citations

3.

Jia, Xiaosong, et al.. (2024). Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. 819–844. 4 indexed citations

4.

Hu, Yihan, Li Chen, Keyu Li, et al.. (2023). Planning-oriented Autonomous Driving. 17853–17862. 349 indexed citations breakdown →

5.

Jia, Xiaosong, Penghao Wu, Li Chen, et al.. (2023). HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13860–13875. 90 indexed citations

6.

Jia, Xiaosong, Penghao Wu, Li Chen, et al.. (2023). Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. The HKU Scholars Hub (University of Hong Kong). 21983–21994. 42 indexed citations

7.

Jia, Xiaosong, et al.. (2023). DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. The HKU Scholars Hub (University of Hong Kong). 7919–7929. 22 indexed citations

8.

Jia, Xiaosong, et al.. (2022). Trajectory-Guided Control Prediction for End-To-End Autonomous Driving: A Simple Yet Strong Baseline. 6119–6132. 1 indexed citations

9.

Jia, Xiaosong, Liting Sun, Hang Zhao, Masayoshi Tomizuka, & Wei Zhan. (2021). Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views. 10 indexed citations

10.

Jia, Xiaosong, Liting Sun, Masayoshi Tomizuka, & Wei Zhan. (2021). IDE-Net: Interactive Driving Event and Pattern Extraction From Human Data. IEEE Robotics and Automation Letters. 6(2). 3065–3072. 20 indexed citations

11.

Gao, Xiaofeng, Xiaosong Jia, Chaoqi Yang, & Guihai Chen. (2020). Using Survival Theory in Early Pattern Detection for Viral Cascades. IEEE Transactions on Knowledge and Data Engineering. 34(5). 2497–2511. 4 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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