Kaixiang Peng

5.8k total citations · 1 hit paper
270 papers, 4.3k citations indexed

About

Kaixiang Peng is a scholar working on Control and Systems Engineering, Mechanical Engineering and Analytical Chemistry. According to data from OpenAlex, Kaixiang Peng has authored 270 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 231 papers in Control and Systems Engineering, 133 papers in Mechanical Engineering and 38 papers in Analytical Chemistry. Recurrent topics in Kaixiang Peng's work include Fault Detection and Control Systems (188 papers), Mineral Processing and Grinding (116 papers) and Spectroscopy and Chemometric Analyses (38 papers). Kaixiang Peng is often cited by papers focused on Fault Detection and Control Systems (188 papers), Mineral Processing and Grinding (116 papers) and Spectroscopy and Chemometric Analyses (38 papers). Kaixiang Peng collaborates with scholars based in China, Germany and United States. Kaixiang Peng's co-authors include Jie Dong, Kai Zhang, Steven X. Ding, Ruihua Jiao, Liang Ma, Hao Luo, Haiyang Hao, Shuang Zhang, Gang Li and Xu Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Kaixiang Peng

232 papers receiving 4.2k citations

Hit 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.

Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties

2018 269 citations Kaixiang Peng et al. profile →

Peers

Kaixiang Peng

CSE

SPU

Ningyun Lu China

Zhiwen Chen China

Hongtian Chen China

Qingchao Jiang China

Zhihuan Song China

Robert H. Storer United States

Piero Baraldi Italy

V. Sugumaran India

Xiao He China

R. Bhushan Gopaluni Canada

Ningyun Lu China

Kaixiang Peng

2.7k ×0.8

CSE

1.3k ×0.7

381 ×0.6

413 ×0.8

SPU

370 ×0.7

Citations per year, relative to Kaixiang Peng Kaixiang Peng (= 1×) peers Ningyun Lu

Countries citing papers authored by Kaixiang Peng

Since Specialization

Citations

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

Fields of papers citing papers by Kaixiang Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixiang Peng

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

All Works

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20 of 20 papers shown

Dong, Jie, et al.. (2025). A new fault detection method based on an updatable hybrid model for hard-to-detect faults in nonstationary processes. Reliability Engineering & System Safety. 259. 110920–110920. 3 indexed citations

Peng, Kaixiang, et al.. (2025). Fixed-time tracking control of quadrotor UAVs based on disturbance observer and sliding mode. International Journal of Systems Science. 57(3). 647–667.

Dong, Jie, et al.. (2025). An Integrated Distributed Fault Diagnosis Framework for Large-Scale Industrial Processes Based on Spatio–Temporal Causal Analysis. IEEE Transactions on Industrial Informatics. 21(8). 6537–6546. 1 indexed citations

Dong, Jie, et al.. (2025). A New Mechanism Model-Assisted Spatiotemporal Information Fusion Quality-Related Fault Diagnosis Method for Large-Scale Industrial Processes. IEEE Transactions on Instrumentation and Measurement. 74. 1–12.

Peng, Kaixiang, et al.. (2024). Supervised contrastive learning based dual-mixer model for Remaining Useful Life prediction. Reliability Engineering & System Safety. 251. 110398–110398. 8 indexed citations

Zhang, Chuanfang, et al.. (2024). A spatiotemporal synergetic operating performance assessment based on reconstructed correlation matrix and dissimilarity analytics for plant-wide hot strip mill process. Process Safety and Environmental Protection. 187. 195–205. 2 indexed citations

Hu, Yanyan, et al.. (2024). Finite-time switching-like sliding mode fault-tolerant control for discrete-time cyber-physical systems under DoS attacks and intermittent faults. Applied Mathematics and Computation. 469. 128530–128530. 5 indexed citations

Peng, Kaixiang, Jianhua Chen, Hui Yang, & Qin Xin. (2024). Knowledge-data-driven process monitoring based on temporal knowledge graphs and supervised contrastive learning for complex industrial processes. Journal of Process Control. 141. 103283–103283. 4 indexed citations

Zhang, Chi, et al.. (2024). Multi-level monitoring method based on slow independent component analysis-tensor decomposition for industrial batch processes. Measurement. 241. 115610–115610. 1 indexed citations

10.

Zhang, Kai, Xiaowen Zhang, & Kaixiang Peng. (2024). Evaluating the process operating state taking into consideration operator interventions with application to a hot rolling mill process. Control Engineering Practice. 155. 106176–106176. 1 indexed citations

11.

Zhang, Chi, Jie Dong, Kaixiang Peng, & Hanwen Zhang. (2024). Spatio-temporal information analytics based performance-driven industrial process monitoring framework with cloud–edge-device collaboration. Journal of Manufacturing Processes. 110. 224–237. 4 indexed citations

12.

Peng, Kaixiang, et al.. (2024). Degradation modeling and remaining life prediction for a multi-component system under triple uncertainties. Computers & Industrial Engineering. 195. 110432–110432. 4 indexed citations

13.

Chen, Ming, et al.. (2024). Finite-time adaptive optimal control of uncertain strict-feedback nonlinear systems based on fuzzy observer and reinforcement learning. International Journal of Systems Science. 55(8). 1553–1570. 2 indexed citations

14.

Dong, Jie, et al.. (2024). A Quality-Related Fault Detection Method Based on Deep Spatial–Temporal Networks and Canonical Variable Analysis for Industrial Processes. IEEE Sensors Journal. 24(18). 29047–29055. 1 indexed citations

15.

Chen, Ming, et al.. (2023). Fuzzy Observer-Based Finite-Time Command Filtered Tracking Control for Uncertain Strict-Feedback Nonlinear Systems with Sensor Faults. International Journal of Fuzzy Systems. 26(2). 659–673. 2 indexed citations

16.

Zhang, Cuicui, et al.. (2023). Distributed Quality-Related Process Monitoring Framework Using Parallel DVIB-VAE-mRMR for Large-Scale Processes. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 6 indexed citations

17.

Yang, Xu, et al.. (2023). Remaining useful life prediction for motor systems by iteratively updated wiener process based on closed-loop performance degradation monitoring. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 238(1). 3–15. 4 indexed citations

18.

Dong, Jie, Lingzhi Jiang, Chi Zhang, & Kaixiang Peng. (2022). A Novel Quality-Related Incipient Fault Detection Method Based on Canonical Variate Analysis and Kullback–Leibler Divergence for Large-Scale Industrial Processes. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 31 indexed citations

19.

Li, Linlin, Steven X. Ding, Hao Luo, Kaixiang Peng, & Ying Yang. (2019). Performance-Based Fault-Tolerant Control Approaches For Industrial Processes With Multiplicative Faults. IEEE Transactions on Industrial Informatics. 16(7). 4759–4768. 33 indexed citations

20.

Li, Linlin, Steven X. Ding, Ying Yang, Kaixiang Peng, & Jianbin Qiu. (2017). A Fault Detection Approach for Nonlinear Systems Based on Data-Driven Realizations of Fuzzy Kernel Representations. IEEE Transactions on Fuzzy Systems. 26(4). 1800–1812. 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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