Ruonan Liu

1.3k total citations
48 papers, 745 citations indexed

About

Ruonan Liu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ruonan Liu has authored 48 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Ruonan Liu's work include Fault Detection and Control Systems (14 papers), Machine Fault Diagnosis Techniques (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Ruonan Liu is often cited by papers focused on Fault Detection and Control Systems (14 papers), Machine Fault Diagnosis Techniques (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Ruonan Liu collaborates with scholars based in China, Germany and Hong Kong. Ruonan Liu's co-authors include Qinghua Hu, Dongyue Chen, Steven X. Ding, Yanmei Kang, Xianling Li, Di Lin, Weidong Zhang, Xuerong Mao, Shiguang Zhang and Ping Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Image Processing.

In The Last Decade

Ruonan Liu

41 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruonan Liu China 15 347 222 170 132 62 48 745
Kai Chen China 15 181 0.5× 106 0.5× 280 1.6× 135 1.0× 42 0.7× 105 694
Sheng Liu China 16 496 1.4× 105 0.5× 280 1.6× 180 1.4× 11 0.2× 146 979
Chyi‐Tsong Chen Taiwan 17 449 1.3× 236 1.1× 83 0.5× 178 1.3× 37 0.6× 45 913
Dazi Li China 17 544 1.6× 162 0.7× 250 1.5× 104 0.8× 20 0.3× 109 1.0k
Shiyou Yang China 16 188 0.5× 210 0.9× 384 2.3× 105 0.8× 10 0.2× 93 756
Lifen Yuan China 12 248 0.7× 123 0.6× 418 2.5× 74 0.6× 23 0.4× 38 709
Luiz Lebensztajn Brazil 12 163 0.5× 171 0.8× 377 2.2× 152 1.2× 16 0.3× 33 690

Countries citing papers authored by Ruonan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ruonan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruonan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruonan Liu. A scholar is included among the top collaborators of Ruonan Liu 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 Ruonan Liu. Ruonan Liu 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, Boyuan, Jinyuan Zhang, Ruonan Liu, et al.. (2025). Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14893–14907. 2 indexed citations
2.
Zong, Guangdeng, et al.. (2025). Observer-Based Adaptive NN Tracking Control for Nonlinear NCSs Under Intermittent DoS Attacks: A Finite-Time Prescribed Performance Method. IEEE Transactions on Systems Man and Cybernetics Systems. 55(3). 2322–2331. 6 indexed citations
4.
Li, Guanghui, et al.. (2024). Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference. Neurocomputing. 582. 127497–127497. 19 indexed citations
5.
Zhang, Yafen, et al.. (2024). Effect of Constrictivity of Gel/Capillary Pores in Concrete on Chloride Ions Migration. Iranian Journal of Science and Technology Transactions of Civil Engineering. 48(6). 4201–4213. 2 indexed citations
6.
Liu, Ruonan, et al.. (2024). Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network. IEEE Internet of Things Journal. 11(13). 22869–22879. 18 indexed citations
7.
Liu, Ruonan, et al.. (2024). Causal intervention graph neural network for fault diagnosis of complex industrial processes. Reliability Engineering & System Safety. 251. 110328–110328. 28 indexed citations
8.
Liu, Ruonan, et al.. (2024). Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes. Reliability Engineering & System Safety. 252. 110468–110468. 14 indexed citations
9.
Wei, Maoliang, Kai Xu, Bo Tang, et al.. (2024). Monolithic back-end-of-line integration of phase change materials into foundry-manufactured silicon photonics. Nature Communications. 15(1). 2786–2786. 31 indexed citations
10.
Liu, Ruonan, et al.. (2024). Explainability Enhanced Object Detection Transformer With Feature Disentanglement. IEEE Transactions on Image Processing. 33. 6439–6454. 1 indexed citations
11.
Zhang, Xiang, Shuping He, Zhihuan Hu, et al.. (2024). Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation. IEEE Transactions on Fuzzy Systems. 32(11). 6573–6582. 5 indexed citations
12.
Liu, Ruonan, et al.. (2023). Controllable synthesis of nickel–cobalt-doped Prussian blue analogs for capacitive desalination. Electrochimica Acta. 442. 141815–141815. 30 indexed citations
13.
Wang, Hao, Ruonan Liu, Steven X. Ding, et al.. (2023). Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Transactions on Industrial Informatics. 20(2). 1987–1996. 30 indexed citations
14.
Tang, Bo, et al.. (2022). Broadband Silicon Nitride Power Splitter Based on Bent Directional Couplers with Low Thermal Sensitivity. Micromachines. 13(4). 559–559. 11 indexed citations
15.
Wei, Maoliang, Hui Ma, Chuyu Zhong, et al.. (2022). TDFA-BAND SILICON OPTICAL VARIABLE ATTENUATOR. Electromagnetic waves. 174. 33–42. 4 indexed citations
16.
Wang, Yu, Ruonan Liu, Di Lin, et al.. (2021). Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Transactions on Neural Networks and Learning Systems. 34(2). 761–774. 56 indexed citations
17.
Chen, Hao, Ruonan Liu, Zongxia Xie, et al.. (2021). Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognition. 123. 108383–108383. 22 indexed citations
18.
Kang, Yanmei, Ruonan Liu, & Xuerong Mao. (2020). Aperiodic stochastic resonance in neural information processing with Gaussian colored noise. Cognitive Neurodynamics. 15(3). 517–532. 26 indexed citations
19.
Wang, Yufei, Ruonan Liu, Xiao Feng, & Shihui Zhan. (2017). An Overall Velocity Distribution and Optimization Method for Crude Oil Fouling Mitigation in Heat Exchanger Networks. Industrial & Engineering Chemistry Research. 56(39). 11206–11215. 6 indexed citations
20.
Liu, Ruonan, et al.. (2015). Third order intermodulation distortion in capacitive-gap transduced micromechanical filters. 35. 5–10. 1 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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