Yishun Liu

691 total citations
26 papers, 509 citations indexed

About

Yishun Liu is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Mechanical Engineering. According to data from OpenAlex, Yishun Liu has authored 26 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 6 papers in Management Science and Operations Research and 4 papers in Mechanical Engineering. Recurrent topics in Yishun Liu's work include Fault Detection and Control Systems (10 papers), Advanced Control Systems Optimization (6 papers) and Mineral Processing and Grinding (4 papers). Yishun Liu is often cited by papers focused on Fault Detection and Control Systems (10 papers), Advanced Control Systems Optimization (6 papers) and Mineral Processing and Grinding (4 papers). Yishun Liu collaborates with scholars based in China, Hong Kong and United Kingdom. Yishun Liu's co-authors include Keke Huang, Weihua Gui, Chunhua Yang, Chunhua Yang, Zhen Wang, Shiyan Hu, Weiping Liu, Zui Tao, Yonggang Li and Yiming Wu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Cybernetics and IEEE Transactions on Industrial Informatics.

In The Last Decade

Yishun Liu

22 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yishun Liu China 10 156 146 135 106 84 26 509
Cheng Zhao China 10 169 1.1× 32 0.2× 128 0.9× 128 1.2× 29 0.3× 33 493
Ebrahim Sharifi Tashnizi Iran 8 216 1.4× 48 0.3× 92 0.7× 95 0.9× 77 0.9× 16 524
Gyumin Lee South Korea 11 36 0.2× 124 0.8× 108 0.8× 26 0.2× 20 0.2× 27 470
Mounir Ben Ghalia United States 9 78 0.5× 78 0.5× 56 0.4× 24 0.2× 33 0.4× 28 382
Luciano De Tommasi Ireland 13 68 0.4× 91 0.6× 294 2.2× 10 0.1× 43 0.5× 38 576
Mengqi Li China 12 182 1.2× 38 0.3× 43 0.3× 13 0.1× 58 0.7× 42 490
Ariel Liebman Australia 14 67 0.4× 188 1.3× 667 4.9× 59 0.6× 43 0.5× 55 924
Mohsen Bahrami Iran 15 114 0.7× 200 1.4× 50 0.4× 22 0.2× 113 1.3× 59 889
Ting-Cheng Chang China 10 103 0.7× 38 0.3× 103 0.8× 23 0.2× 56 0.7× 58 512

Countries citing papers authored by Yishun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yishun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yishun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yishun Liu. A scholar is included among the top collaborators of Yishun 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 Yishun Liu. Yishun 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.
Liu, Yishun, et al.. (2025). A novel knowledge-driven intuitionistic fuzzy multi-criteria decision-making method for evaluating the operating condition of the aluminum electrolysis cell. Journal of the Taiwan Institute of Chemical Engineers. 175. 106256–106256. 1 indexed citations
2.
Huang, Keke, et al.. (2025). Proactive Identification-Based Self-Learning Control Method for Distributed Parameter System. IEEE Transactions on Industrial Electronics. 73(2). 3150–3161.
3.
Huang, Keke, Weihua Cao, Yishun Liu, et al.. (2025). A Weighted Deep Learning-Based Predictive Control for Multimode Nonlinear System With Industrial Applications. IEEE Transactions on Automation Science and Engineering. 22. 10814–10826. 1 indexed citations
4.
Wang, Yalin, et al.. (2025). Data-Driven Two-Stage Robust Optimization Allocation and Loading for Salt Lake Chemical Enterprise Products Under Demand Uncertainty. IEEE/CAA Journal of Automatica Sinica. 12(5). 989–1003.
5.
Li, Junxian, Keke Huang, Dehao Wu, et al.. (2024). Hybrid variable dictionary learning for monitoring continuous and discrete variables in manufacturing processes. Control Engineering Practice. 149. 105970–105970. 5 indexed citations
7.
Deng, Wenfeng, Chunhua Yang, Keke Huang, et al.. (2024). Sparse Adversarial Video Attack Based on Dual-Branch Neural Network on Industrial Artificial Intelligence of Things. IEEE Transactions on Industrial Informatics. 20(7). 9385–9392. 1 indexed citations
8.
Huang, Keke, Junxian Li, Dehao Wu, et al.. (2024). Sparse Wasserstein stationary subspace analysis for fault detection and diagnosis of nonstationary industrial processes. ISA Transactions. 151. 285–295. 1 indexed citations
9.
Yang, Chunhua, Yishun Liu, Keke Huang, Dehao Wu, & Weihua Gui. (2024). Low-carbon operation technologies and challenges for process industry. Fundamental Research. 5(5). 2283–2293. 2 indexed citations
10.
Liu, Yishun, et al.. (2024). Quality-related fault detection for dynamic process based on quality-driven long short-term memory network and autoencoder. Neural Networks. 181. 106819–106819. 5 indexed citations
11.
Liu, Yishun, et al.. (2023). Cluster-based industrial KPIs forecasting considering the periodicity and holiday effect using LSTM network and MSVR. Advanced Engineering Informatics. 56. 101916–101916. 12 indexed citations
12.
Liu, Yishun, Chunhua Yang, Keke Huang, & Weiping Liu. (2023). A Multi-Factor Selection and Fusion Method through the CNN-LSTM Network for Dynamic Price Forecasting. Mathematics. 11(5). 1132–1132. 6 indexed citations
13.
Liu, Yishun, et al.. (2023). Data-Driven Raw Material Robust Procurement for Non-Ferrous Metal Smelter Under Price and Demand Uncertainties. IEEE Transactions on Automation Science and Engineering. 21(4). 5852–5865. 7 indexed citations
14.
Huang, Keke, Zui Tao, Yishun Liu, et al.. (2023). Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 2942–2955. 26 indexed citations
15.
Huang, Keke, Zui Tao, Yishun Liu, et al.. (2022). Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning. IEEE Transactions on Cybernetics. 53(6). 3974–3987. 47 indexed citations
16.
Liu, Yishun, Chunhua Yang, Keke Huang, Weihua Gui, & Shiyan Hu. (2022). A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application. IEEE Internet of Things Journal. 10(8). 7272–7292. 26 indexed citations
18.
Huang, Keke, et al.. (2021). Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity. Science China Information Sciences. 65(1). 3 indexed citations
19.
Liu, Yishun, Chunhua Yang, Keke Huang, & Weihua Gui. (2019). Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network. Knowledge-Based Systems. 188. 105006–105006. 205 indexed citations
20.
Huang, Keke, et al.. (2018). Understanding cooperative behavior of agents with heterogeneous perceptions in dynamic networks. Physica A Statistical Mechanics and its Applications. 509. 234–240. 29 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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