Ping Zhou

3.4k total citations
150 papers, 2.5k citations indexed

About

Ping Zhou is a scholar working on Mechanical Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ping Zhou has authored 150 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Mechanical Engineering, 65 papers in Control and Systems Engineering and 24 papers in Artificial Intelligence. Recurrent topics in Ping Zhou's work include Fault Detection and Control Systems (44 papers), Mineral Processing and Grinding (42 papers) and Iron and Steelmaking Processes (33 papers). Ping Zhou is often cited by papers focused on Fault Detection and Control Systems (44 papers), Mineral Processing and Grinding (42 papers) and Iron and Steelmaking Processes (33 papers). Ping Zhou collaborates with scholars based in China, United States and United Kingdom. Ping Zhou's co-authors include Tianyou Chai, Hong Wang, Wei Dai, Mingjie Li, Jin Xie, Ruiyao Zhang, Shaowen Lu, Meng Yuan, Chenn Q. Zhou and Shuai Zhang and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Ping Zhou

133 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Zhou China 29 1.1k 939 474 189 182 150 2.5k
Yongchao Zhang China 23 1.4k 1.3× 887 0.9× 353 0.7× 118 0.6× 232 1.3× 99 2.5k
Yiqi Liu China 28 1.1k 1.1× 442 0.5× 392 0.8× 122 0.6× 120 0.7× 96 2.1k
Rui Araújo Portugal 23 866 0.8× 198 0.2× 675 1.4× 97 0.5× 311 1.7× 106 1.8k
P. Stephan Heyns South Africa 36 1.5k 1.4× 2.0k 2.2× 170 0.4× 393 2.1× 563 3.1× 158 3.9k
Kai Wang China 25 944 0.9× 439 0.5× 464 1.0× 116 0.6× 142 0.8× 124 1.6k
Boyuan Yang China 18 2.7k 2.5× 1.6k 1.7× 392 0.8× 106 0.6× 292 1.6× 42 3.5k
Zengkai Liu China 27 732 0.7× 635 0.7× 201 0.4× 53 0.3× 197 1.1× 84 2.5k
Joseba Quevedo Spain 34 2.0k 1.9× 337 0.4× 400 0.8× 101 0.5× 523 2.9× 178 3.7k
David Mba United Kingdom 39 3.4k 3.2× 3.4k 3.6× 256 0.5× 272 1.4× 513 2.8× 285 5.7k
Esperanza García–Gonzalo Spain 24 289 0.3× 320 0.3× 369 0.8× 189 1.0× 264 1.5× 80 2.1k

Countries citing papers authored by Ping Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ping Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Zhou. A scholar is included among the top collaborators of Ping Zhou 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 Ping Zhou. Ping Zhou 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.
Zhou, Ping, et al.. (2024). Enhanced predictive PDF control of stochastic distribution systems with neural network compensation and its application. Journal of Process Control. 143. 103328–103328.
2.
Zhou, Ping, et al.. (2024). CFD–DEM modeling of particle segregation behavior in a simulated flash smelting furnace. Powder Technology. 448. 120310–120310. 2 indexed citations
3.
Zhang, Lei, Hui Ren, Wei Fan, & Ping Zhou. (2024). Dynamic modeling and trajectory optimization for the rigid-flexible coupled spacecraft with the free-floating manipulator and solar panels. Applied Mathematical Modelling. 137. 115706–115706. 6 indexed citations
4.
Zhou, Ping, et al.. (2024). Modelling and analysis on the segregation of copper concentrate particles in the feeding system of flash smelting process. Powder Technology. 443. 119898–119898. 6 indexed citations
5.
Zhou, Ping, et al.. (2024). CFD modeling of gas−liquid flow phenomenon in lead smelting oxygen-enriched side-blown furnace. Transactions of Nonferrous Metals Society of China. 34(8). 2671–2685. 3 indexed citations
6.
Zhou, Ping, Shuai Zhang, & Tianyou Chai. (2024). Adaptive Constraint Penalty-Based Multiobjective Operation Optimization of an Industrial Dynamic System With Complex Multiconstraint. IEEE Transactions on Cybernetics. 54(8). 4724–4737. 7 indexed citations
7.
Liu, Yue & Ping Zhou. (2023). Optimal tracking control for blast furnace molten iron quality based on subspace identification and Krotov's method. Optimal Control Applications and Methods. 44(5). 2532–2550. 1 indexed citations
8.
Zhou, Ping, et al.. (2023). Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling. IEEE Transactions on Automation Science and Engineering. 21(2). 1163–1175. 8 indexed citations
9.
Zhang, Ruiyao, Ping Zhou, & Junfei Qiao. (2023). Anomaly Detection of Nonstationary Long-Memory Processes Based on Fractional Cointegration Vector Autoregression. IEEE Transactions on Reliability. 72(4). 1383–1394. 3 indexed citations
10.
Liu, Yue, et al.. (2023). Optimal Tracking Control of Blast Furnace Molten Iron Quality Based on Krotov's Method and Nonlinear Subspace Identification. IEEE Transactions on Industrial Electronics. 71(8). 9610–9619. 6 indexed citations
11.
Zhou, Ping, et al.. (2023). SPEA2 based on grid density search and elite guidance for multi-objective operation optimization of wastewater treatment process. Applied Soft Computing. 144. 110529–110529. 11 indexed citations
12.
Zhou, Ping, et al.. (2022). Enhanced MPC based on unknown state estimation and control compensation. Journal of Process Control. 121. 60–72. 4 indexed citations
13.
Zhou, Ping, et al.. (2019). Data modeling for quality prediction using improved orthogonal incremental random vector functional-link networks. Neurocomputing. 365. 1–9. 9 indexed citations
14.
Zhou, Ping, et al.. (2019). Robust Online Sequential RVFLNs for Data Modeling of Dynamic Time-Varying Systems With Application of an Ironmaking Blast Furnace. IEEE Transactions on Cybernetics. 50(11). 4783–4795. 43 indexed citations
15.
Zhou, Ping, Chenyu Wang, Mingjie Li, et al.. (2018). Modeling error PDF optimization based wavelet neural network modeling of dynamic system and its application in blast furnace ironmaking. Neurocomputing. 285. 167–175. 21 indexed citations
16.
Li, Mingjie, Ping Zhou, Hong Wang, & Tianyou Chai. (2018). Geometric Analysis Based Double Closed-Loop Iterative Learning Control of Output PDF Shaping of Fiber Length Distribution in Refining Process. IEEE Transactions on Industrial Electronics. 66(9). 7229–7238. 12 indexed citations
17.
Zhou, Ping, et al.. (2017). Data‐driven recursive subspace identification based online modelling for prediction and control of molten iron quality in blast furnace ironmaking. IET Control Theory and Applications. 11(14). 2343–2351. 38 indexed citations
18.
19.
Zhou, Ping, et al.. (2016). Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking. IEEE Transactions on Control Systems Technology. 25(5). 1761–1774. 107 indexed citations
20.
Zhou, Ping, et al.. (2015). Source mapping and determining of soil contamination by heavy metals using statistical analysis, artificial neural network, and adaptive genetic algorithm. Journal of environmental chemical engineering. 3(4). 2569–2579. 26 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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