The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
A Similarity-Constrained filter transfer learning approach for identifying nonlinear systems with unknown time delays
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Cites
Adaptive parameter identification of linear SISO systems with unknown time-delay
Na, J., Ren, X., & Xia, Y. (2014) · Systems & Control Letters · doi:10.1016/j.sysconle.2014.01.005 · Cited by 101
Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain
Luo, Y., Wen, Y., Liu, T., & Tao, D. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2824309 · Cited by 94
Efficient Utilization of Missing Data in Cost-Sensitive Learning
Zhu, X., Yang, J., Zhang, C., & Zhang, S. (2019) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2019.2956530 · Cited by 86
Adaptive Neural Network Fixed-Time Control Design for Bilateral Teleoperation With Time Delay
Zhang, S., Yuan, S., Yu, X., Kong, L., Li, Q., & Li, G. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3063729 · Cited by 72
Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes
Ou, C., Zhu, H., Shardt, Y. A. W., Ye, L., Yuan, X., Wang, Y., Yang, C., & Gui, W. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3443350 · Cited by 67
Chaotic Time Series Prediction Using a Neuro-Fuzzy System with Time-Delay Coordinates
Zhang, J., Chung, H. S.-H., & Lo, A. W.-L. (2008) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2008.35 · Cited by 62
FINNIM: Iterative Imputation of Missing Values in Dissolved Gas Analysis Dataset
Sahri, Z. B., Yusof, R. B., & Watada, J. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2350837 · Cited by 59
Identification of Nonlinear Systems With Unknown Time Delay Based on Time-Delay Neural Networks
Ren, X., & Rad, A. B. (2007) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2007.899702 · Cited by 59
Controllability of Nonlinear Impulsive and Switching Systems With Input Delay
Yan, J., Hu, B., & Guan, Z. (2022) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2022.3149876 · Cited by 32
Prediction of sludge bulking using the knowledge-leverage-based fuzzy neural network
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Research works printed but not linked: 3
- Mahanipoor, 2025, Improving long-term prediction in industrial processes using neural networks with noise-added training data, Intelligent Systems with Applications, 28
- Wang, 2025, Robust missing value imputation with proximal optimal transport for low-quality IIoT data, IEEE Trans. Neural Networks Learn. Syst., 1
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Cited by
Mu, J., Gao, D., Zhao, Y., Liu, C., & Yang, C. (2026) · Advanced Engineering Informatics · doi:10.1016/j.aei.2026.104965
Identification of markov jump linear systems using transferred knowledge
Li, S., Ping, X., He, S., & Luan, X. (2026) · Information Sciences · doi:10.1016/j.ins.2026.124085
Metadata
- Authors
- Li, M., Wu, X., Sun, M., & Yang, Y.
- Affiliations
- Shanxi University (CN)
- Beijing University of Technology (CN)
- Space Engineering University (CN)
- Corresponding author
- Yang, Yanxia
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2026-07
- Volume
- 744
- Pages
- 123367
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W7136045704
- Cited by
- 2
- References
- 31
- Citations by year
- 2026: 2
- FWCI
- 5.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Information Sciences (publishedVersion)
- Funders
- National Natural Science Foundation of China (62506381, 62422301)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Computer Science › Signal Processing › Advanced Adaptive Filtering Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Keywords
- transfer learning, nonlinear system identification, unknown time delay, time delay estimation, negative transfer, industrial process modeling
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- CoChat. (2026). Citation check: A Similarity-Constrained filter transfer learning approach for identifying nonlinear systems with unknown time delays. https://app.cochat.ai/papers/10.1016/j.ins.2026.123367
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- Li, M., Wu, X., Sun, M., & Yang, Y. (2026). A Similarity-Constrained filter transfer learning approach for identifying nonlinear systems with unknown time delays. Information Sciences. https://doi.org/10.1016/j.ins.2026.123367
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
