Runyuan Guo

499 total citations
17 papers, 357 citations indexed

About

Runyuan Guo is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Runyuan Guo has authored 17 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 5 papers in Artificial Intelligence and 5 papers in Mechanical Engineering. Recurrent topics in Runyuan Guo's work include Fault Detection and Control Systems (9 papers), Neural Networks and Applications (3 papers) and Advanced Algorithms and Applications (3 papers). Runyuan Guo is often cited by papers focused on Fault Detection and Control Systems (9 papers), Neural Networks and Applications (3 papers) and Advanced Algorithms and Applications (3 papers). Runyuan Guo collaborates with scholars based in China, Canada and United States. Runyuan Guo's co-authors include Han Liu, Guo Xie, Youmin Zhang, Ding Liu, Xiao Wang, Wenqing Wang, Qingyuan Chen, He Zhang, Yufan Zhao and Qing Liu and has published in prestigious journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Runyuan Guo

13 papers receiving 350 citations

Peers

Runyuan Guo
Liangjun Feng China
Zongyi Xing China
Donghao Zhang China
Gavneet Singh Chadha Germany
Aliakbar Akbari Spain
Zhuofu Pan China
Rafał Szczepański Poland
Ming Ge China
Dongfang Zhao China
Jingzhong Fang United Kingdom
Liangjun Feng China
Runyuan Guo
Citations per year, relative to Runyuan Guo Runyuan Guo (= 1×) peers Liangjun Feng

Countries citing papers authored by Runyuan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Runyuan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runyuan Guo

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

All Works

17 of 17 papers shown
1.
Liu, Han, et al.. (2025). Dual Feature-Integration Network for Faster and More Pragmatic Few-Shot Strip Steel Surface Defect Classification. IEEE Transactions on Instrumentation and Measurement. 74. 1–18.
2.
Liu, Han, et al.. (2025). A hybrid-driven soft sensor model with symbolic representation for enhanced self-interpretability. Measurement Science and Technology. 36(3). 35103–35103.
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Guo, Runyuan, Qingyuan Chen, Han Liu, & Wenqing Wang. (2024). Adversarial Robustness Enhancement for Deep Learning-Based Soft Sensors: An Adversarial Training Strategy Using Historical Gradients and Domain Adaptation. Sensors. 24(12). 3909–3909. 14 indexed citations
7.
Zhang, He, et al.. (2024). ODNet: A High Real-Time Network Using Orthogonal Decomposition for Few-Shot Strip Steel Surface Defect Classification. Sensors. 24(14). 4630–4630. 3 indexed citations
8.
Liu, Han, et al.. (2024). Context-Aware Enhanced Virtual Try-On Network with fabric adaptive registration. The Visual Computer. 41(3). 1435–1451. 2 indexed citations
9.
Liu, Han, et al.. (2023). An Interpretable Soft Sensor Model for Power Plant Process Based on Deep Learning. 2079–2085. 1 indexed citations
10.
Guo, Runyuan, Han Liu, & Ding Liu. (2023). When Deep Learning-Based Soft Sensors Encounter Reliability Challenges: A Practical Knowledge-Guided Adversarial Attack and Its Defense. IEEE Transactions on Industrial Informatics. 20(2). 2702–2714. 56 indexed citations
11.
Guo, Runyuan, Han Liu, Guo Xie, Youmin Zhang, & Ding Liu. (2022). A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling. IEEE Transactions on Industrial Informatics. 19(5). 6859–6871. 60 indexed citations
12.
Guo, Runyuan, Han Liu, Wenqing Wang, Guo Xie, & Youmin Zhang. (2021). A Hybrid-driven Soft Sensor with Complex Process Data Based on DAE and Mechanism-introduced GRU. 553–558. 6 indexed citations
13.
Guo, Runyuan & Han Liu. (2021). A Hybrid Mechanism- and Data-Driven Soft Sensor Based on the Generative Adversarial Network and Gated Recurrent Unit. IEEE Sensors Journal. 21(22). 25901–25911. 35 indexed citations
14.
Guo, Runyuan, Han Liu, Guo Xie, & Youmin Zhang. (2021). Weld Defect Detection From Imbalanced Radiographic Images Based on Contrast Enhancement Conditional Generative Adversarial Network and Transfer Learning. IEEE Sensors Journal. 21(9). 10844–10853. 97 indexed citations
15.
Guo, Runyuan & Han Liu. (2021). Semisupervised dynamic soft sensor based on complementary ensemble empirical mode decomposition and deep learning. Measurement. 183. 109788–109788. 27 indexed citations
16.
Zhao, Yufan, Han Liu, Runyuan Guo, Guo Xie, & Youmin Zhang. (2020). Air Preheater Rotor Deformation Soft Sensor Based on Wavelet Analysis and SVR. 29. 4490–4495. 7 indexed citations
17.
Liu, Han, et al.. (2020). Soft sensor based on DBN-IPSO-SVR approach for rotor thermal deformation prediction of rotary air-preheater. Measurement. 165. 108109–108109. 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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2026