Siheng Chen

8.9k total citations · 2 hit papers
138 papers, 4.5k citations indexed

About

Siheng Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Siheng Chen has authored 138 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 50 papers in Computer Vision and Pattern Recognition and 21 papers in Statistical and Nonlinear Physics. Recurrent topics in Siheng Chen's work include Advanced Graph Neural Networks (32 papers), Complex Network Analysis Techniques (18 papers) and Human Pose and Action Recognition (17 papers). Siheng Chen is often cited by papers focused on Advanced Graph Neural Networks (32 papers), Complex Network Analysis Techniques (18 papers) and Human Pose and Action Recognition (17 papers). Siheng Chen collaborates with scholars based in China, United States and United Kingdom. Siheng Chen's 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 and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemical Communications.

In The Last Decade

Siheng Chen

131 papers receiving 4.4k citations

Hit Papers

Discrete Signal Processing on Graphs: Sampling Theory 2015 2026 2018 2022 2015 2022 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Siheng Chen China 35 1.6k 1.5k 655 559 542 138 4.5k
Zhixin Li China 29 1.3k 0.8× 927 0.6× 236 0.4× 373 0.7× 296 0.5× 367 4.4k
S. Lecœuche France 20 855 0.5× 1.5k 1.0× 156 0.2× 136 0.2× 195 0.4× 73 4.1k
Zheng Zhao United States 30 1.6k 1.0× 2.3k 1.5× 89 0.1× 176 0.3× 146 0.3× 109 5.3k
P. Saratchandran Singapore 30 933 0.6× 4.4k 2.9× 126 0.2× 188 0.3× 240 0.4× 89 6.1k
Xiaoming Hu Sweden 38 1.1k 0.7× 539 0.4× 215 0.3× 92 0.2× 152 0.3× 337 5.9k
Hongming Zhou China 10 1.1k 0.7× 4.0k 2.6× 73 0.1× 131 0.2× 284 0.5× 19 5.4k
Wei Wang China 47 942 0.6× 845 0.6× 255 0.4× 97 0.2× 320 0.6× 488 10.0k
Cesare Alippi Italy 43 673 0.4× 2.9k 1.9× 181 0.3× 123 0.2× 133 0.2× 231 6.5k
N. Sundararajan Singapore 36 793 0.5× 3.5k 2.3× 124 0.2× 164 0.3× 134 0.2× 181 5.5k
Aurelio Uncini Italy 35 1.0k 0.7× 1.7k 1.1× 142 0.2× 1.2k 2.2× 40 0.1× 213 4.0k

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-authorship network of co-authors of Siheng Chen

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

All Works

20 of 20 papers shown
1.
Yang, Chen, et al.. (2025). Does wetland degradation impact bird diversity differently across seasons? A case study of Zoige Alpine Wetland ecosystem. Avian Research. 16(1). 100227–100227. 4 indexed citations
2.
Wang, Yanfeng, et al.. (2025). FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models. 15267–15291. 1 indexed citations
4.
Chen, Siheng, et al.. (2024). Research progress on quality evaluation of strong-flavor baijiu pit mud. Journal of Food Composition and Analysis. 137. 106889–106889. 4 indexed citations
5.
Wang, Mingyu, et al.. (2024). Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1726–1734. 2 indexed citations
6.
Chen, Siheng, et al.. (2024). High performance of AlGaN/GaN HEMT with AlN cap layer. Micro and Nanostructures. 198. 208054–208054. 3 indexed citations
7.
Feng, Chen, et al.. (2024). Robust Collaborative Perception without External Localization and Clock Devices. 7280–7286. 2 indexed citations
8.
Cheong, Kuan Yew, et al.. (2024). Influence of post fabrication annealing on device performance of InAlN/GaN high electron mobility transistors. Journal of Physics and Chemistry of Solids. 187. 111870–111870. 1 indexed citations
9.
Chen, Siheng, Peng Cui, Kuan Yew Cheong, et al.. (2024). Improved electrical performance of InAlN/GaN high electron mobility transistors with forming gas annealing. Solid-State Electronics. 213. 108861–108861. 4 indexed citations
10.
Ye, Rui, Wenhao Wang, Yuxiao Wang, et al.. (2024). FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18321–18337. 1 indexed citations
11.
Chen, Siheng, et al.. (2024). Enhanced device performance of GaN high electron mobility transistors with in situ crystalline SiN cap layer. Applied Physics Letters. 125(12). 1 indexed citations
12.
Ye, Rui, et al.. (2023). FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning. IEEE Transactions on Signal Processing. 71. 4224–4239. 18 indexed citations
13.
Yang, Chen, Siheng Chen, & Jie Wang. (2023). Ontogenetic color change in the tail of blue‐tailed skinks (Plestodion elegans). Ecology and Evolution. 13(6). e10152–e10152. 2 indexed citations
14.
Ju, Chen, Peisen Zhao, Siheng Chen, et al.. (2022). Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. IEEE Transactions on Multimedia. 25. 6688–6701. 9 indexed citations
15.
Chen, Siheng, et al.. (2022). Cell clustering for spatial transcriptomics data with graph neural networks. Nature Computational Science. 2(6). 399–408. 114 indexed citations
16.
Li, Maosen, et al.. (2022). Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 4768–4782. 45 indexed citations
17.
Huang, Kai, et al.. (2020). Task-Level Aware Scheduling of Energy-Constrained Applications on Heterogeneous Multi-Core System. Electronics. 9(12). 2077–2077. 1 indexed citations
18.
Ioannidis, Vassilis N., Siheng Chen, & Georgios B. Giannakis. (2020). Pruned Graph Scattering Transforms. International Conference on Learning Representations. 7 indexed citations
19.
Chen, Siheng, Yaoqing Yang, José M. F. Moura, & Jelena Kovačević. (2016). Signal Localization, Decomposition and Dictionary Learning on Graphs.. arXiv (Cornell University). 1 indexed citations
20.
Chen, Siheng, Aliaksei Sandryhaila, José M. F. Moura, & Jelena Kovačević. (2014). Signal Recovery on Graphs. arXiv (Cornell University). 12 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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