Siheng Chen

9.2k citations
143 papers · 4.8k · 2 hit papers · h-index 36

Impact in

Papers in

Siheng Chen

132 papers receiving 4.7k citations

Siheng Chen's Hit Papers

V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving 2022 · 191 citations
1910+3+7Years since publication100200300400

Peers

Siheng Chen
Comparison fields: 5 of 151
  • Computer Vision and Pattern Recognition 1.6k
  • Statistical and Nonlinear Physics 666
  • Artificial Intelligence 1.6k
  • Automotive Engineering 570
  • Geology 203
Replace Chenggang Yan with:
Chenggang Yan China
Xiao Bai China
Naiyan Wang China
Jianbin Qiu China
Jianwei Zhang China
Xinchao Wang China
Chi‐Man Vong Macao
Xiaonan Luo China
Xi Li China
Deng Cai China
Siheng Chen relative to Chenggang Yan China Chenggang Yan's profile →
Citations per field
00.5×9.3×
Chenggang Yan · 1×
Citations per year

Countries citing papers authored by Siheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Siheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siheng Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siheng Chen Line = papers co-authored together Siheng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Discrete Signal Processing on Graphs: Sampling Theory
Hit paper breakdown →
2015424
2 2015321
3 2020226
4
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving
Hit paper breakdown →
2022191
5 2015184
6 2021163
7 2020146
8 2017129
9 2016127
10 2022125
11 2020125
12 2022106
13 2022105
14 2023102
15 2014100
16 201498
17 202291
18 201988
19 201677
20 202076

About Siheng Chen

Siheng Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Mechanics and Aerospace Engineering, having authored 143 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (32 papers), Complex Network Analysis Techniques (18 papers), Human Pose and Action Recognition (17 papers), Anomaly Detection Techniques and Applications (15 papers), Autonomous Vehicle Technology and Safety (12 papers), Video Surveillance and Tracking Methods (10 papers), Robotics and Sensor-Based Localization (10 papers) and 3D Shape Modeling and Analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Statistical and Nonlinear Physics (666 citations), Artificial Intelligence (1.6k citations), Automotive Engineering (570 citations) and Geology (203 citations). Siheng Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jelena Kovačević, Aliaksei Sandryhaila, Ya Zhang, Yanfeng Wang, Rohan Varma, Maosen Li, Chen Feng, Chenxin Xu, José M. F. Moura and Jacobo Bielak. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Mechanical Systems and Signal Processing, Physics of Fluids and IEEE Robotics and Automation Letters.

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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