Shiwen Xie

969 total citations
53 papers, 703 citations indexed

About

Shiwen Xie is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Shiwen Xie has authored 53 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Control and Systems Engineering, 23 papers in Artificial Intelligence and 13 papers in Mechanical Engineering. Recurrent topics in Shiwen Xie's work include Fault Detection and Control Systems (20 papers), Minerals Flotation and Separation Techniques (11 papers) and Mineral Processing and Grinding (9 papers). Shiwen Xie is often cited by papers focused on Fault Detection and Control Systems (20 papers), Minerals Flotation and Separation Techniques (11 papers) and Mineral Processing and Grinding (9 papers). Shiwen Xie collaborates with scholars based in China, Qatar and United States. Shiwen Xie's co-authors include Yongfang Xie, Weihua Gui, Chunhua Yang, Xiaofang Chen, Tingwen Huang, Jie Wang, Weihua Gui, Hao Ying, Lei He and Mingxi Ai and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Shiwen Xie

44 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiwen Xie China 18 331 219 172 121 90 53 703
Francisco Souza Portugal 15 466 1.4× 305 1.4× 136 0.8× 48 0.4× 46 0.5× 47 820
Qingqiang Sun China 7 502 1.5× 285 1.3× 213 1.2× 22 0.2× 52 0.6× 17 765
Gongming Wang China 12 262 0.8× 279 1.3× 58 0.3× 98 0.8× 18 0.2× 27 636
Stanko Strmčnik Slovenia 15 588 1.8× 97 0.4× 79 0.5× 115 1.0× 29 0.3× 87 891
Huaiping Jin China 19 546 1.6× 237 1.1× 174 1.0× 15 0.1× 56 0.6× 56 1.0k
M.J. Fuente Spain 14 416 1.3× 149 0.7× 187 1.1× 38 0.3× 23 0.3× 64 635
Meijuan Gao China 12 115 0.3× 120 0.5× 54 0.3× 58 0.5× 47 0.5× 83 512
G.I. Sainz-Palmero Spain 15 292 0.9× 153 0.7× 166 1.0× 24 0.2× 14 0.2× 47 559
Xiaochen Hao China 16 193 0.6× 110 0.5× 140 0.8× 15 0.1× 32 0.4× 95 699
Runda Jia China 16 349 1.1× 61 0.3× 217 1.3× 30 0.2× 65 0.7× 61 553

Countries citing papers authored by Shiwen Xie

Since Specialization
Citations

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

Fields of papers citing papers by Shiwen Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwen Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Shiwen Xie. A scholar is included among the top collaborators of Shiwen Xie 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 Shiwen Xie. Shiwen Xie 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.
Xie, Shiwen, Yu Yan, Yongfang Xie, Xiaofang Chen, & Zhaohui Tang. (2025). Overview and prospects of modeling and optimal control for non-ferrous metallurgical processes and mineral processing. 2(4). 440–458.
2.
Xie, Yongfang, et al.. (2024). Pruned tree-structured temporal convolutional networks for quality variable prediction of industrial process. Journal of Process Control. 143. 103312–103312. 5 indexed citations
3.
Zhang, Bin, et al.. (2024). Flotation froth image enhancement based on region decomposition and guided filtering. Minerals Engineering. 216. 108919–108919. 2 indexed citations
4.
Wang, Jie, Yongfang Xie, Shiwen Xie, & Xiaofang Chen. (2024). Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 6 indexed citations
5.
6.
Xie, Yongfang, et al.. (2023). SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering. Journal of Process Control. 132. 103131–103131. 4 indexed citations
7.
Wang, Jie, Shiwen Xie, Yongfang Xie, & Xiaofang Chen. (2023). Label Propagation With Contrastive Anchors for Deep Semi-Supervised Superheat Degree Identification in Aluminum Electrolysis Process. IEEE Transactions on Automation Science and Engineering. 21(2). 1284–1296. 11 indexed citations
8.
Wang, Jie, Shiwen Xie, Yongfang Xie, & Xiaofang Chen. (2023). A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling. IEEE Transactions on Industrial Informatics. 20(3). 3050–3059. 11 indexed citations
9.
10.
Xie, Shiwen, Yongfang Xie, & Tingwen Huang. (2023). TSTFNN: Performance Enhancement for Fuzzy Neural Network in Performance Monitoring of Industrial Flotation Processes. IEEE Transactions on Industrial Informatics. 20(3). 4919–4929. 4 indexed citations
11.
Xie, Yongfang, Jie Wang, Shiwen Xie, & Xiaofang Chen. (2023). Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes. IEEE Transactions on Systems Man and Cybernetics Systems. 54(2). 972–984. 15 indexed citations
12.
Chen, Xiaofang, et al.. (2022). Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process. IEEE Transactions on Industrial Informatics. 19(3). 3119–3132. 27 indexed citations
13.
Xie, Shiwen, Yongfang Xie, Tingwen Huang, & Weihua Gui. (2020). Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment. IEEE Transactions on Industrial Informatics. 17(1). 569–577. 20 indexed citations
14.
Xie, Shiwen, Yongfang Xie, Hao Ying, Zhaohui Jiang, & Weihua Gui. (2019). Neurofuzzy-Based Plant-Wide Hierarchical Coordinating Optimization and Control: An Application to Zinc Hydrometallurgy Plant. IEEE Transactions on Industrial Electronics. 67(3). 2207–2219. 44 indexed citations
15.
Xie, Yongfang, et al.. (2019). On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network. Neural Networks. 116. 1–10. 34 indexed citations
16.
Xie, Shiwen, Yongfang Xie, Fanbiao Li, Zhaohui Jiang, & Weihua Gui. (2019). Hybrid fuzzy control for the goethite process in zinc production plant combining type-1 and type-2 fuzzy logics. Neurocomputing. 366. 170–177. 19 indexed citations
17.
Xie, Shiwen, Yongfang Xie, Tingwen Huang, Weihua Gui, & Chunhua Yang. (2018). Coordinated Optimization for the Descent Gradient of Technical Index in the Iron Removal Process. IEEE Transactions on Cybernetics. 48(12). 3313–3322. 7 indexed citations
18.
Xie, Shiwen, Yongfang Xie, Fanbiao Li, Chunhua Yang, & Weihua Gui. (2018). Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor. IEEE Transactions on Systems Man and Cybernetics Systems. 50(7). 2408–2420. 18 indexed citations
19.
Xie, Shiwen, Yongfang Xie, Tingwen Huang, Weihua Gui, & Chunhua Yang. (2018). Generalized Predictive Control for Industrial Processes Based on Neuron Adaptive Splitting and Merging RBF Neural Network. IEEE Transactions on Industrial Electronics. 66(2). 1192–1202. 62 indexed citations
20.
Xie, Shiwen, Yongfang Xie, Hao Ying, Weihua Gui, & Chunhua Yang. (2018). A Hybrid Control Strategy for Real-Time Control of the Iron Removal Process of the Zinc Hydrometallurgy Plants. IEEE Transactions on Industrial Informatics. 14(12). 5278–5288. 36 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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