Chengli Su

447 total citations
38 papers, 354 citations indexed

About

Chengli Su is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chengli Su has authored 38 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Control and Systems Engineering, 5 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Chengli Su's work include Advanced Control Systems Optimization (25 papers), Fault Detection and Control Systems (21 papers) and Advanced Algorithms and Applications (10 papers). Chengli Su is often cited by papers focused on Advanced Control Systems Optimization (25 papers), Fault Detection and Control Systems (21 papers) and Advanced Algorithms and Applications (10 papers). Chengli Su collaborates with scholars based in China and Macao. Chengli Su's co-authors include Ping Li, Huiyuan Shi, Jiangtao Cao, Guoliang Wang, Jingxian Yu, Qingling Zhang, Yue Wang, Chunyu Yang, Jianping Liang and Xinquan Zhang and has published in prestigious journals such as Scientific Reports, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Chengli Su

37 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengli Su China 10 299 45 33 32 24 38 354
Huiyuan Shi China 13 397 1.3× 34 0.8× 33 1.0× 28 0.9× 26 1.1× 52 461
Andrea Bisoffi Italy 12 313 1.0× 31 0.7× 20 0.6× 45 1.4× 20 0.8× 21 372
Roberto Sanchís Spain 13 428 1.4× 80 1.8× 55 1.7× 24 0.8× 36 1.5× 65 501
G. Iulia Bara France 10 433 1.4× 53 1.2× 19 0.6× 24 0.8× 16 0.7× 21 479
Jianyu Zhang China 11 268 0.9× 104 2.3× 23 0.7× 33 1.0× 40 1.7× 34 346
F. De Bruyne Australia 14 460 1.5× 27 0.6× 20 0.6× 49 1.5× 50 2.1× 34 518
Dimitris Kouzoupis Germany 9 179 0.6× 15 0.3× 43 1.3× 20 0.6× 8 0.3× 18 248
Radek Matušů Czechia 10 299 1.0× 22 0.5× 56 1.7× 31 1.0× 17 0.7× 79 364
Darryl DeHaan Canada 8 546 1.8× 16 0.4× 43 1.3× 45 1.4× 20 0.8× 15 586

Countries citing papers authored by Chengli Su

Since Specialization
Citations

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

Fields of papers citing papers by Chengli Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengli Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chengli Su. A scholar is included among the top collaborators of Chengli Su 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 Chengli Su. Chengli Su 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.
Shi, Huiyuan, et al.. (2023). Robust fuzzy predictive switching control for nonlinear multi-phase batch processes with synchronous vs asynchronous cases. Information Sciences. 647. 119489–119489. 2 indexed citations
2.
Shi, Huiyuan, et al.. (2023). Robust predictive fault-tolerant switching control for discrete linear systems with actuator random failures. Computers & Chemical Engineering. 181. 108554–108554. 23 indexed citations
3.
Shi, Huiyuan, et al.. (2023). Iterative learning hybrid robust predictive fault-tolerant control for nonlinear batch processes with partial actuator faults. Journal of Process Control. 129. 103054–103054. 10 indexed citations
4.
Shi, Huiyuan, et al.. (2023). Stochastic robust predictive fault-tolerant control for discrete systems with actuator faults. Engineering Research Express. 5(3). 35041–35041.
5.
Shi, Huiyuan, et al.. (2023). Two-Dimensional Iterative Learning Robust Asynchronous Switching Predictive Control for Multiphase Batch Processes With Time-Varying Delays. IEEE Transactions on Systems Man and Cybernetics Systems. 53(10). 6488–6502. 47 indexed citations
6.
Wang, Xiaojing, Chengli Su, Ning Wang, & Huiyuan Shi. (2022). Gray wolf optimizer with bubble-net predation for modeling fluidized catalytic cracking unit main fractionator. Scientific Reports. 12(1). 7548–7548. 5 indexed citations
7.
Li, Ping, et al.. (2018). Double-layered nonlinear model predictive control based on Hammerstein–Wiener model with disturbance rejection. Measurement and Control. 51(7-8). 260–275. 19 indexed citations
8.
Zhang, Xinquan & Chengli Su. (2018). Stability Analysis and Antiwindup Design of Switched Linear Systems with Actuator Saturation. International Journal of Control Automation and Systems. 16(3). 1247–1253. 9 indexed citations
9.
Su, Chengli, et al.. (2017). SOFT-MEASUREMENT MODELING WITH MULTI-SCALE EVOLUTIONARY V-SUPPORT VECTOR MACHINE FOR ETHYLENE PRODUCT CONCENTRATION. ICIC express letters. Part B, Applications. 8(12). 1653–1661. 1 indexed citations
10.
Wang, Guoliang, Qingling Zhang, Chunyu Yang, & Chengli Su. (2016). Stability and stabilization of continuous-time stochastic Markovian jump systems with random switching signals. Journal of the Franklin Institute. 353(6). 1339–1357. 17 indexed citations
11.
Su, Chengli, et al.. (2016). MultiBoost with ENN-based ensemble fault diagnosis method and its application in complicated chemical process. Journal of Central South University. 23(5). 1183–1197. 6 indexed citations
12.
Wang, Guoliang, Qingling Zhang, Chunyu Yang, & Chengli Su. (2015). Stabilization of continuous-time randomly switched systems via the LMI approach. Applied Mathematics and Computation. 266. 527–538. 8 indexed citations
13.
Hou, Ligang, Chengli Su, Ping Li, & Jiangtao Cao. (2015). Multi-Objective Optimization of Gas Fractionation Unit Operation. Measurement and Control. 48(2). 65–68. 2 indexed citations
14.
Shi, Huiyuan, et al.. (2015). Nonlinear Adaptive Predictive Functional Control Based on the Takagi–Sugeno Model for Average Cracking Outlet Temperature of the Ethylene Cracking Furnace. Industrial & Engineering Chemistry Research. 54(6). 1849–1860. 28 indexed citations
15.
Su, Chengli, et al.. (2014). Robust Predictive Control for a Class of Multiple Time Delay Uncertain Systems with Nonlinear Disturbance. ACTA AUTOMATICA SINICA. 39(5). 644–649. 8 indexed citations
16.
Li, Ping, et al.. (2012). Soft Sensor Modeling Based on Multiple Extreme Learning Machine. Advanced materials research. 433-440. 3003–3010. 1 indexed citations
17.
Wang, Guoliang & Chengli Su. (2012). Delay-distribution-dependent H∞ filtering for linear systems with stochastic time-varying delays. Journal of the Franklin Institute. 350(2). 358–377. 8 indexed citations
18.
Su, Chengli. (2011). Soft sensor modeling method of extreme learning machine ridge regression. Journal of Hefei University of Technology. 3 indexed citations
19.
Zhang, Guanghui, Chengli Su, & Ping Li. (2010). Model-Free Adaptive Control of MIMO Systems Based on Linearization of Partial Format. 955–958. 2 indexed citations
20.
Su, Chengli, et al.. (2006). Robust model predictive control for discrete uncertain nonlinear systems with time-delay via fuzzy model. Journal of Zhejiang University. Science A. 7(10). 1723–1732. 12 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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