Siheng Chen

8.9k citations
138 papers · 4.5k indexed · 2 hit papers · h-index 35

Impact in

Papers in

Siheng Chen

131 papers receiving 4.4k citations

Hit Papers

V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving 2022 · 170 citations
1702015202620182022100200300400

Peers

Siheng Chen
Comparison fields: 5 of 151
  • Computer Vision and Pattern Recognition 1.6k
  • Statistical and Nonlinear Physics 655
  • Artificial Intelligence 1.5k
  • Automotive Engineering 542
  • Geology 196
Replace Xiao Bai with:
Xiao Bai China
Chenggang Yan China
Jianbin Qiu China
Naiyan Wang China
Jianwei Zhang China
Wei Wang China
Xiaonan Luo China
Chi‐Man Vong Macao
Xi Li China
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Siheng Chen relative to Xiao Bai China Xiao Bai's profile →
Citations per field
00.5×11.8×
Xiao Bai · 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
#Work
1 20254
2 20251
3 20242
4 20243
5 20242
6 20240
7 20244
8 20241
9 20241
10 20241
11 20244
12 202318
13 20229
14 2022114
15 202245
16
Spatio-Temporal Graph Scattering Transform
20216
17 20201
18
Pruned Graph Scattering Transforms
20207
19
Signal Localization, Decomposition and Dictionary Learning on Graphs.
20161
20
Signal Recovery on Graphs
201412

About Siheng Chen

Siheng Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Computational Mathematics and Automotive Engineering, having authored 138 papers that have together received 4.5k 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), Robotics and Sensor-Based Localization (10 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Statistical and Nonlinear Physics (655 citations), Artificial Intelligence (1.5k citations), Automotive Engineering (542 citations) and Geology (196 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, José M. F. Moura, Chenxin Xu 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 Transactions on Intelligent Transportation Systems.

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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