Zhengjiang Zhang

1.3k total citations
90 papers, 977 citations indexed

About

Zhengjiang Zhang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Zhengjiang Zhang has authored 90 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Control and Systems Engineering, 24 papers in Artificial Intelligence and 16 papers in Mechanical Engineering. Recurrent topics in Zhengjiang Zhang's work include Fault Detection and Control Systems (43 papers), Spectroscopy and Chemometric Analyses (14 papers) and Advanced Control Systems Optimization (13 papers). Zhengjiang Zhang is often cited by papers focused on Fault Detection and Control Systems (43 papers), Spectroscopy and Chemometric Analyses (14 papers) and Advanced Control Systems Optimization (13 papers). Zhengjiang Zhang collaborates with scholars based in China, Taiwan and United States. Zhengjiang Zhang's co-authors include Junghui Chen, Yuxing Dai, Rencheng Jin, Lili Zhu, Yong Huang, He Lin, Shipei Huang, Wen Yang, Weiqun Zhou and Zhengbing Yan and has published in prestigious journals such as Electrochimica Acta, International Journal of Heat and Mass Transfer and IEEE Access.

In The Last Decade

Zhengjiang Zhang

81 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengjiang Zhang China 16 440 251 194 156 152 90 977
Min‐Sen Chiu Singapore 23 1.6k 3.5× 213 0.8× 149 0.8× 304 1.9× 281 1.8× 104 2.0k
Yoshiyuki Yamashita Japan 14 363 0.8× 298 1.2× 57 0.3× 176 1.1× 120 0.8× 86 995
Xiaoli Wang China 19 374 0.8× 372 1.5× 53 0.3× 127 0.8× 118 0.8× 107 1.1k
Hongqiu Zhu China 24 432 1.0× 465 1.9× 225 1.2× 308 2.0× 125 0.8× 128 1.5k
Sami Othman France 15 1.6k 3.7× 178 0.7× 101 0.5× 175 1.1× 62 0.4× 48 2.0k
Zhenlei Wang China 18 109 0.2× 200 0.8× 469 2.4× 92 0.6× 170 1.1× 38 1.1k
O.D. Crisalle United States 23 362 0.8× 802 3.2× 241 1.2× 158 1.0× 596 3.9× 110 1.8k
Liping Sun China 21 160 0.4× 155 0.6× 192 1.0× 475 3.0× 313 2.1× 85 1.5k
Weina Liu China 18 132 0.3× 471 1.9× 61 0.3× 188 1.2× 341 2.2× 67 1.4k

Countries citing papers authored by Zhengjiang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Zhengjiang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengjiang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengjiang Zhang. A scholar is included among the top collaborators of Zhengjiang Zhang 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 Zhengjiang Zhang. Zhengjiang Zhang 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.
Ye, Jiaqi, et al.. (2025). An improved cost reference particle filter and parameter online dynamic correction method for the state of charge estimation of lithium-ion battery. Journal of Energy Storage. 115. 115949–115949. 1 indexed citations
2.
Liu, Yi, et al.. (2025). Dynamic Data Reconciliation to Improve the Control Performance of Nonlinear System with Unknown Process Models. Industrial & Engineering Chemistry Research. 64(29). 14545–14559.
3.
Xie, Wenhao, et al.. (2025). AC circuit model of GaN-based multiphase synchronous buck converters with dead-time for cascade system. Journal of Power Electronics. 26(2). 255–267.
4.
Xu, Luping, et al.. (2024). Robust EKF based on the framework of dynamic data reconciliation for state estimation of chemical processes with Gaussian/non-Gaussian measurement noise. Chemical Engineering Science. 304. 121046–121046. 1 indexed citations
5.
Zhu, Jialiang, et al.. (2024). Dynamic data reconciliation for enhancing the prediction performance of long short-term memory network. Measurement Science and Technology. 35(11). 116147–116147. 2 indexed citations
6.
Chen, Junghui, et al.. (2024). Online nonlinear data reconciliation to enhance nonlinear dynamic process monitoring using conditional dynamic variational autoencoder networks with particle filters. Chemometrics and Intelligent Laboratory Systems. 253. 105198–105198. 2 indexed citations
7.
Wu, Lijun, et al.. (2024). Improved Particle Swarm Optimization Algorithm Based Robust Parameter Estimation of Photovoltaic Array Model under Partial Shading Conditions. IEEJ Transactions on Electrical and Electronic Engineering. 20(6). 899–909.
8.
Zhang, Zhengjiang, et al.. (2023). A novel strategy of correntropy-based iterative neural networks for data reconciliation and gross error estimation in semiconductor industry. Journal of Process Control. 131. 103096–103096. 2 indexed citations
9.
10.
Xia, Tao, et al.. (2023). Dynamic data reconciliation to enhance the performance of model free adaptive control. Measurement Science and Technology. 34(6). 65105–65105. 1 indexed citations
11.
Zhang, Zhenhui, et al.. (2023). Nonlinear auto regressive Elman neural network combined with unscented Kalman filter for data-driven dynamic data reconciliation in dynamic systems. Measurement Science and Technology. 34(12). 125039–125039. 1 indexed citations
12.
Zhang, Zhenhui, Zhenhui Zhang, Zhengjiang Zhang, et al.. (2023). Robust adaptive Unscented Kalman Filter with gross error detection and identification for power system forecasting-aided state estimation. Journal of the Franklin Institute. 360(13). 10297–10336. 12 indexed citations
13.
Liang, Wenjie, et al.. (2023). A ratiometric hypochlorite-specific nanoprobe constructed by rationally designed AIE luminogen for fluorescence imaging of alcoholic liver disease. Sensors and Actuators B Chemical. 384. 133648–133648. 22 indexed citations
14.
15.
Zhang, Zhengjiang, et al.. (2022). Dynamic Data Reconciliation for Improving the Prediction Performance of the Data-Driven Model on Distributed Product Outputs. Industrial & Engineering Chemistry Research. 61(51). 18780–18794. 10 indexed citations
16.
Zhang, Zhengjiang, et al.. (2021). Dynamic data reconciliation to enhance the performance of feedforward/feedback control systems with measurement noise. Journal of Process Control. 108. 12–24. 9 indexed citations
17.
Lin, He, Guijing Liu, Lili Zhu, et al.. (2021). Flexible borophosphene monolayer: A potential Dirac anode for high-performance non-lithium ion batteries. Applied Surface Science. 544. 148895–148895. 92 indexed citations
18.
Huang, Shipei, Zhengbing Yan, Zhengjiang Zhang, & Guo‐Qiang Zeng. (2020). Finite-time boundedness of two-dimensional positive continuous-discrete systems in Roesser model. Transactions of the Institute of Measurement and Control. 43(6). 1452–1463. 3 indexed citations
19.
Zhang, Zhengjiang, et al.. (2019). Correntropy based data reconciliation and gross error detection for bilinear systems. Chemical Engineering Science. 212. 115327–115327. 11 indexed citations
20.
Meng, Zhiqiang, et al.. (2017). Particle filter-based robust state and parameter estimation for nonlinear process systems with variable parameters. Measurement Science and Technology. 28(6). 65003–65003. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Min‐Sen Chiu Breakdown of academic impact, for papers by Yoshiyuki Yamashita Breakdown of academic impact, for papers by Xiaoli Wang Breakdown of academic impact, for papers by Hongqiu Zhu Breakdown of academic impact, for papers by Sami Othman Breakdown of academic impact, for papers by Zhenlei Wang Breakdown of academic impact, for papers by O.D. Crisalle Breakdown of academic impact, for papers by Liping Sun Breakdown of academic impact, for papers by Weina Liu
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