Yalin Wang

7.9k total citations · 6 hit papers
232 papers, 6.0k citations indexed

About

Yalin Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Yalin Wang has authored 232 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Control and Systems Engineering, 79 papers in Mechanical Engineering and 64 papers in Artificial Intelligence. Recurrent topics in Yalin Wang's work include Fault Detection and Control Systems (120 papers), Mineral Processing and Grinding (64 papers) and Advanced Control Systems Optimization (48 papers). Yalin Wang is often cited by papers focused on Fault Detection and Control Systems (120 papers), Mineral Processing and Grinding (64 papers) and Advanced Control Systems Optimization (48 papers). Yalin Wang collaborates with scholars based in China, Canada and Hong Kong. Yalin Wang's co-authors include Xiaofeng Yuan, Chunhua Yang, Weihua Gui, Weihua Gui, Lin Li, Biao Huang, Kai Wang, Chenliang Liu, Yuri A.W. Shardt and Chunhua Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Applied Energy.

In The Last Decade

Yalin Wang

206 papers receiving 5.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

2018 516 citations Xiaofeng Yuan, Biao Huang et al. IEEE Transactions on Industrial Informatics profile →
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

2019 402 citations Xiaofeng Yuan, Yalin Wang et al. IEEE Transactions on Industrial Informatics profile →
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

2020 369 citations Xiaofeng Yuan, Yuri A.W. Shardt et al. profile →
A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

2019 330 citations Yalin Wang, Zhuofu Pan et al. profile →
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy

2019 231 citations Xiaofeng Yuan, Biao Huang et al. IEEE Transactions on Industrial Informatics profile →
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network

2024 60 citations Xiaofeng Yuan, Lingjian Ye et al. profile →

Peers

Yalin Wang

CSE

IME

Xiaofeng Yuan China

Weihua Gui China

Qunxiong Zhu China

Junghui Chen Taiwan

Yuan Yao Taiwan

Zhihuan Song China

Fan Yang China

Yongfang Xie China

Ke Feng China

Bo‐Suk Yang South Korea

Xiaofeng Yuan China

Yalin Wang

4.4k ×1.1

CSE

2.0k ×1.0

1.8k ×1.0

612 ×1.0

IME

678 ×1.2

Citations per year, relative to Yalin Wang Yalin Wang (= 1×) peers Xiaofeng Yuan

Countries citing papers authored by Yalin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yalin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yalin Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Kai, et al.. (2025). Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems. Engineering Applications of Artificial Intelligence. 146. 110242–110242.

Wang, Yalin, et al.. (2025). Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application. IEEE Transactions on Industrial Informatics. 21(8). 6147–6157. 2 indexed citations

Wang, Yalin, et al.. (2025). Novel fabrication of hydroxypropyl-β-cyclodextrin functionalized zein protein nanoparticles Co-encapsulated with bio-molecules to attenuate pregnancy-induced hypertension by inducing trophoblast cells proliferation with TLR4 signaling pathway. Journal of Biomaterials Applications. 40(1). 118–134.

Yuan, Xiaofeng, Lingjian Ye, Feifan Shen, et al.. (2025). Deep learning-based model predictive control with exponential weighting strategy and its application in energy management systems. Journal of Process Control. 155. 103542–103542. 1 indexed citations

Li, Jiayi, Guohua Wu, Mingfeng Fan, Zhiguang Cao, & Yalin Wang. (2025). Heterogeneous Attention-Based Graph Convolutional Network for Solving Asymmetric Pickup and Delivery Problem. IEEE Transactions on Automation Science and Engineering. 22. 13000–13014. 1 indexed citations

Wang, Yalin, et al.. (2024). Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. Swarm and Evolutionary Computation. 91. 101679–101679. 7 indexed citations

Wang, Kai, et al.. (2024). A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. Applied Soft Computing. 158. 111542–111542. 9 indexed citations

Yuan, Xiaofeng, Jiale Zhang, Kai Wang, et al.. (2024). Missing Data Imputation for Industrial Time Series With Adaptive Median Iteration Based on Generative Adversarial Networks. IEEE Sensors Journal. 24(21). 35081–35091. 12 indexed citations

Wang, Yalin, Yiyin Tang, Chenliang Liu, Guohua Wu, & Weihua Gui. (2024). Two-stage hierarchical decision-making strategy for railway transportation freight stowage based on cooperative embedding optimization. IEEE Transactions on Intelligent Vehicles. 1–12. 2 indexed citations

10.

Wu, Guohua, et al.. (2024). Improved Adaptive Large Neighborhood Search Algorithm Based on the Two-Stage Framework for Scheduling Multiple Super-Agile Satellites. IEEE Transactions on Aerospace and Electronic Systems. 60(5). 7185–7200. 13 indexed citations

11.

Zhu, Hongqiu, Yuri A.W. Shardt, Lingjian Ye, et al.. (2024). Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 24 indexed citations

12.

Wang, Yalin, et al.. (2023). Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. Expert Systems with Applications. 245. 123078–123078. 8 indexed citations

13.

Pan, Zhuofu, Yalin Wang, Yue Cao, & Weihua Gui. (2023). VAE-Based Interpretable Latent Variable Model for Process Monitoring. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6075–6088. 25 indexed citations

14.

Wang, Kai, et al.. (2023). Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. IEEE Transactions on Automation Science and Engineering. 21(3). 4808–4816. 7 indexed citations

15.

Cao, Yue, Nabil Magbool Jan, Biao Huang, et al.. (2022). No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models. IEEE Transactions on Automation Science and Engineering. 20(1). 167–178. 9 indexed citations

16.

Yuan, Xiaofeng, et al.. (2021). Online Adaptive Modeling Framework for Deep Belief Network-Based Quality Prediction in Industrial Processes. Industrial & Engineering Chemistry Research. 60(42). 15208–15218. 17 indexed citations

17.

Wang, Yalin, et al.. (2020). An Efficient Computational Cost Reduction Strategy for the Population-Based Intelligent Optimization of Nonlinear Dynamical Systems. IEEE Transactions on Industrial Informatics. 17(10). 6624–6633. 3 indexed citations

18.

Wang, Yalin, et al.. (2020). Multi‐stage intelligent operation optimization for a hydrocracking fractionation system with a multi‐fractionator series‐parallel structure. The Canadian Journal of Chemical Engineering. 98(11). 2342–2359. 2 indexed citations

19.

Wang, Yalin, et al.. (2019). Modeling and Simulation of Reaction and Fractionation Systems for the Industrial Residue Hydrotreating Process. Processes. 8(1). 32–32. 9 indexed citations

20.

Wang, Yalin, Xiaofang Chen, Weihua Gui, et al.. (2013). A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification. Journal of Applied Mathematics. 2013. 1–15. 22 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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