Pengyu Song

1.1k total citations
39 papers, 879 citations indexed

About

Pengyu Song is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Pengyu Song has authored 39 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 12 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Pengyu Song's work include Fault Detection and Control Systems (16 papers), Spectroscopy and Chemometric Analyses (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Pengyu Song is often cited by papers focused on Fault Detection and Control Systems (16 papers), Spectroscopy and Chemometric Analyses (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Pengyu Song collaborates with scholars based in China, Canada and Singapore. Pengyu Song's co-authors include Chunhui Zhao, Biao Huang, Gang Sun, Wei Li, Xinhai Zhang, Bo You, Jian Ji, Xiaohong Chen, Qiao Jin and Liangjie Hong and has published in prestigious journals such as ACS Nano, Analytical Chemistry and Chemical Engineering Journal.

In The Last Decade

Pengyu Song

39 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengyu Song China 13 270 227 226 142 137 39 879
Siyu Tian China 16 176 0.7× 190 0.8× 686 3.0× 66 0.5× 22 0.2× 50 1.4k
Kun Zhu China 16 87 0.3× 93 0.4× 171 0.8× 109 0.8× 25 0.2× 38 796
Mengfan Zhang China 17 263 1.0× 269 1.2× 201 0.9× 76 0.5× 39 0.3× 74 1.0k
Yuan Tian China 21 270 1.0× 92 0.4× 576 2.5× 67 0.5× 23 0.2× 81 1.3k
Xiaobin Gao China 25 157 0.6× 426 1.9× 391 1.7× 267 1.9× 25 0.2× 72 1.9k
Oh Kyu Kwon South Korea 25 132 0.5× 252 1.1× 574 2.5× 162 1.1× 89 0.6× 46 2.0k
Nicola Rankin United Kingdom 5 309 1.1× 68 0.3× 594 2.6× 29 0.2× 25 0.2× 5 1.1k
Vladimir V. Gusev United Kingdom 6 279 1.0× 61 0.3× 636 2.8× 34 0.2× 21 0.2× 25 1.1k
Phillip M. Maffettone United States 8 303 1.1× 62 0.3× 671 3.0× 36 0.3× 21 0.2× 17 1.2k
Jinhao Chen China 17 83 0.3× 416 1.8× 146 0.6× 83 0.6× 16 0.1× 68 1.3k

Countries citing papers authored by Pengyu Song

Since Specialization
Citations

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

Fields of papers citing papers by Pengyu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Pengyu Song. A scholar is included among the top collaborators of Pengyu Song 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 Pengyu Song. Pengyu Song 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.
Song, Pengyu, et al.. (2024). Facing spatiotemporal heterogeneity: A unified federated continual learning framework with self-challenge rehearsal for industrial monitoring tasks. Knowledge-Based Systems. 289. 111491–111491. 11 indexed citations
2.
Zhao, Liang, Pengyu Song, & Chunhui Zhao. (2024). Causal similarity learning with multi-level predictive relation aggregation for grouped root cause diagnosis of industrial faults. Control Engineering Practice. 154. 106140–106140. 4 indexed citations
3.
Chen, Junhao, Pengyu Song, Chunhui Zhao, & Min Xie. (2024). Hybrid Probabilistic Slow Feature Analysis of Continuous and Binary Data for Dynamic Process Monitoring. IEEE Transactions on Systems Man and Cybernetics Systems. 54(12). 7848–7860. 6 indexed citations
4.
Song, Pengyu, et al.. (2024). From Static and Dynamic Perspectives: A Survey on Historical Data Benchmarks of Control Performance Monitoring. IEEE/CAA Journal of Automatica Sinica. 12(2). 300–316. 1 indexed citations
5.
Song, Pengyu, et al.. (2024). Fusing consensus knowledge: A federated learning method for fault diagnosis via privacy-preserving reference under domain shift. Information Fusion. 106. 102290–102290. 13 indexed citations
6.
Wang, Jiaye, Pengyu Song, & Chunhui Zhao. (2024). Towards consensual representation: Model-agnostic knowledge extraction for dual heterogeneous federated fault diagnosis. Neural Networks. 179. 106618–106618. 2 indexed citations
7.
Song, Pengyu, et al.. (2024). Research on mechanics and acoustic properties of Jute fiber composite material. Heliyon. 10(13). e33869–e33869. 1 indexed citations
8.
Song, Pengyu, Chunhui Zhao, & Biao Huang. (2024). Addressing Heterogeneous Time-Frequency Causality: Source Consistency Exploring for Industrial Root Cause Alignment and Diagnosis. IEEE Transactions on Cybernetics. 55(3). 1107–1120. 2 indexed citations
9.
Song, Pengyu, et al.. (2023). Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity. Journal of Process Control. 129. 103038–103038. 9 indexed citations
10.
Song, Pengyu, Chunhui Zhao, Jinliang Ding, & Shunyi Zhao. (2023). Multimodal Decoupled Representation With Compatibility Learning for Explicit Nonstationary Process Monitoring. IEEE Transactions on Industrial Electronics. 71(7). 8121–8131. 5 indexed citations
11.
Song, Pengyu, Chunhui Zhao, & Biao Huang. (2023). MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults. Neural Networks. 161. 397–417. 32 indexed citations
12.
Song, Pengyu, et al.. (2023). Multi-scale self-supervised representation learning with temporal alignment for multi-rate time series modeling. Pattern Recognition. 145. 109943–109943. 8 indexed citations
13.
Song, Pengyu, Chunhui Zhao, Biao Huang, & Min Wu. (2022). Sparse and Time-Varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 12 indexed citations
14.
Ruan, Wei, Zhengyuan Wu, Jian Liu, et al.. (2022). β-Ga2O3 nanowires: controlled growth, characterization, and deep-ultraviolet photodetection application. Journal of Physics D Applied Physics. 55(28). 284001–284001. 20 indexed citations
15.
Bi, Xiao-Jun, Pengyu Song, Chengye Wang, Xuefei Zhang, & Changhong Liu. (2022). Genomic profiling reveals non-small cell lung cancer with common mutations of EGFR exon 20 and exon 21: a case report. Translational Cancer Research. 11(5). 1423–1428. 1 indexed citations
16.
17.
Xu, Haoyan, Yida Huang, Ziheng Duan, Jie Feng, & Pengyu Song. (2020). Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network.. arXiv (Cornell University). 11 indexed citations
18.
Song, Pengyu, et al.. (2019). Section Division and Multi-model Method for Early Detection of Icing on Wind Turbine Blades. 749–754. 5 indexed citations
19.
Zhang, Xinhai, Wei Li, Pengyu Song, Bo You, & Gang Sun. (2019). Double-cross-linking strategy for preparing flexible, robust, and multifunctional polyimide aerogel. Chemical Engineering Journal. 381. 122784–122784. 142 indexed citations
20.
Song, Pengyu, et al.. (2016). Self-consistent growth of single-crystalline (201)β-Ga2O3nanowires using a flexible GaN seed nanocrystal. CrystEngComm. 19(4). 625–631. 43 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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