Siwei Lou

646 total citations
47 papers, 405 citations indexed

About

Siwei Lou is a scholar working on Control and Systems Engineering, Mechanical Engineering and Analytical Chemistry. According to data from OpenAlex, Siwei Lou has authored 47 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Control and Systems Engineering, 32 papers in Mechanical Engineering and 14 papers in Analytical Chemistry. Recurrent topics in Siwei Lou's work include Fault Detection and Control Systems (33 papers), Mineral Processing and Grinding (28 papers) and Iron and Steelmaking Processes (15 papers). Siwei Lou is often cited by papers focused on Fault Detection and Control Systems (33 papers), Mineral Processing and Grinding (28 papers) and Iron and Steelmaking Processes (15 papers). Siwei Lou collaborates with scholars based in China, Netherlands and Hong Kong. Siwei Lou's co-authors include Ping Wu, Chunjie Yang, Jinfeng Gao, Xujie Zhang, Jiajun He, Yichao Liu, Lingling Guo, Chunjie Yang, Hanwen Zhang and Yu Cai and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Siwei Lou

42 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siwei Lou China 12 261 216 74 51 42 47 405
Khaoula Tidriri France 6 322 1.2× 132 0.6× 56 0.8× 46 0.9× 58 1.4× 11 392
Nizar Chatti France 8 374 1.4× 145 0.7× 65 0.9× 47 0.9× 66 1.6× 18 460
Feiya Lv China 8 270 1.0× 156 0.7× 62 0.8× 36 0.7× 27 0.6× 15 321
Ajaya Kumar Pani India 14 358 1.4× 199 0.9× 97 1.3× 74 1.5× 33 0.8× 29 526
Jingxin Zhang China 11 281 1.1× 137 0.6× 80 1.1× 61 1.2× 63 1.5× 23 344
Zhuofu Pan China 5 327 1.3× 199 0.9× 136 1.8× 44 0.9× 25 0.6× 12 464
Xuejin Gao China 13 365 1.4× 199 0.9× 92 1.2× 54 1.1× 30 0.7× 76 503
Hui Yi China 11 419 1.6× 207 1.0× 83 1.1× 78 1.5× 53 1.3× 28 548
M. Ziyan Sheriff United States 9 236 0.9× 131 0.6× 32 0.4× 70 1.4× 57 1.4× 20 389
Zhihuan Song China 9 392 1.5× 207 1.0× 81 1.1× 118 2.3× 98 2.3× 16 477

Countries citing papers authored by Siwei Lou

Since Specialization
Citations

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

Fields of papers citing papers by Siwei Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siwei Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Siwei Lou. A scholar is included among the top collaborators of Siwei Lou 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 Siwei Lou. Siwei Lou 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.
2.
Wu, Ping, Ke Wang, Jinfeng Gao, et al.. (2025). FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling. Engineering Applications of Artificial Intelligence. 150. 110535–110535. 3 indexed citations
3.
Zhang, Yuyan, et al.. (2025). Concept drift meets industrial data streams: An efficient drift adaptation framework with knowledge embedding and transfer. Expert Systems with Applications. 290. 128439–128439. 1 indexed citations
4.
Lou, Siwei, et al.. (2025). Release Power of Mechanism and Data Fusion: A Hierarchical Strategy for Enhanced MIQ-Related Modeling and Fault Detection in BFIP. IEEE/CAA Journal of Automatica Sinica. 12(5). 894–912. 1 indexed citations
5.
Yang, Chunjie, et al.. (2025). Semi-supervised high-uncertainty deep canonical variate analysis for fault diagnosis in blast furnace ironmaking. Knowledge-Based Systems. 317. 113454–113454. 2 indexed citations
6.
Yang, Chunjie, et al.. (2025). A robust temporal multivariable fault detection method for blast furnace: Robust temporal convolution detection network. Information Sciences. 716. 122269–122269. 1 indexed citations
7.
8.
Lou, Siwei, et al.. (2024). Data/mechanism hybrid-driven modeling of blast furnace smelting system and global sequential optimization. Journal of Process Control. 139. 103235–103235. 4 indexed citations
9.
Yang, Chunjie, et al.. (2024). SA-MSIFF: Soft sensing the cement f-CaO content with a self-adaptive multisource information fusion framework in clinker burning process. Journal of Process Control. 141. 103282–103282. 5 indexed citations
10.
Yang, Chunjie, et al.. (2024). Ontology guided multi-level knowledge graph construction and its applications in blast furnace ironmaking process. Advanced Engineering Informatics. 62. 102927–102927. 3 indexed citations
11.
Zhang, Yuyan, et al.. (2024). Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams. Knowledge-Based Systems. 293. 111640–111640. 6 indexed citations
12.
Feng, Yan, et al.. (2024). Siamese Neural Network and Multimodal Data Fusion Approach for Small-Sample Learning in Industrial Soft Sensor Modeling. IEEE Sensors Journal. 24(20). 33763–33777. 1 indexed citations
13.
Yang, Chunjie, et al.. (2024). Facilitating Ferrous Oxide Prediction: Enabling Sintering Forecasting With Orthogonal Basis-Based Implicit Subspace Identification. IEEE Transactions on Industrial Informatics. 21(1). 96–106. 3 indexed citations
14.
Yang, Chunjie, et al.. (2024). Knowledge-Based Temporal GCN: A Spatial–Temporal Fault Diagnosis Method for Blast Furnace Ironmaking Process With Imbalanced Data. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 2 indexed citations
15.
Yang, Chunjie, et al.. (2024). Igniting Advancements in Iron-Making Process Monitoring: Exploring a Novel and Cutting-Edge Joint Sparse-Constrained Data-Dependent Kernel CVA Method. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 4 indexed citations
16.
Lou, Siwei, et al.. (2023). Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process. Information Sciences. 642. 119176–119176. 11 indexed citations
17.
Lou, Siwei, Ping Wu, Chunjie Yang, & Yonghong Jade Xu. (2023). Structured fault information-aided canonical variate analysis model for dynamic process monitoring. Journal of Process Control. 124. 54–69. 13 indexed citations
18.
Yang, Chunjie, et al.. (2023). Data and knowledge collaborative-driven fault identification and self-healing control action inference framework for blast furnace. Expert Systems with Applications. 245. 123040–123040. 7 indexed citations
19.
Yang, Chunjie, et al.. (2023). An End-to-End Multisource Information Fusion Framework for f-CaO Content Soft Sensing in Cement Clinker Burning Process. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 8 indexed citations
20.

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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