Chao Jiang

858 total citations
51 papers, 577 citations indexed

About

Chao Jiang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Chao Jiang has authored 51 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 16 papers in Artificial Intelligence and 9 papers in Mechanical Engineering. Recurrent topics in Chao Jiang's work include Fault Detection and Control Systems (14 papers), Advanced Control Systems Optimization (8 papers) and Mineral Processing and Grinding (6 papers). Chao Jiang is often cited by papers focused on Fault Detection and Control Systems (14 papers), Advanced Control Systems Optimization (8 papers) and Mineral Processing and Grinding (6 papers). Chao Jiang collaborates with scholars based in China, Canada and Germany. Chao Jiang's co-authors include Wenan Zhou, Weimin Zhong, Shirui Wang, Xin Peng, Yingjie Li, Cuntai Guan, Yingying Tang, Feng Qian, Zhi Li and Zhi Li and has published in prestigious journals such as Analytical Chemistry, Chemical Engineering Journal and IEEE Access.

In The Last Decade

Chao Jiang

40 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Jiang China 14 162 144 78 62 61 51 577
Maria Habib Jordan 18 408 2.5× 62 0.4× 44 0.6× 14 0.2× 65 1.1× 42 872
Saddaf Rubab Pakistan 14 146 0.9× 35 0.2× 30 0.4× 42 0.7× 19 0.3× 51 591
Shubo Zhang China 11 94 0.6× 53 0.4× 74 0.9× 24 0.4× 104 1.7× 32 682
Gregor Papa Slovenia 14 140 0.9× 118 0.8× 26 0.3× 62 1.0× 6 0.1× 71 644
Diaa Salama AbdElminaam Egypt 15 440 2.7× 55 0.4× 55 0.7× 10 0.2× 57 0.9× 77 931
Alexander Schulz Germany 10 104 0.6× 85 0.6× 55 0.7× 46 0.7× 35 0.6× 51 668
Stephen Ojo United States 16 103 0.6× 32 0.2× 30 0.4× 35 0.6× 11 0.2× 60 617
Joanna Isabelle Olszewska United Kingdom 14 188 1.2× 114 0.8× 27 0.3× 76 1.2× 11 0.2× 60 653
Lian Li China 16 308 1.9× 34 0.2× 62 0.8× 19 0.3× 177 2.9× 66 1.0k

Countries citing papers authored by Chao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Chao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Jiang. A scholar is included among the top collaborators of Chao Jiang 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 Chao Jiang. Chao Jiang 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.
2.
Ni, Ye & Chao Jiang. (2025). Ensemble Quality-Aware Slow Feature Analysis for decentralized dynamic process monitoring. Journal of Process Control. 148. 103400–103400. 2 indexed citations
3.
Gao, Shida, et al.. (2024). Hybrid modeling for carbon monoxide gas-phase catalytic coupling to synthesize dimethyl oxalate process. Chinese Journal of Chemical Engineering. 70. 234–250.
4.
Yang, Cheng, Chao Jiang, Guo Yu, Jun Li, & Cuimei Bo. (2024). APSF-Net: A deep adversarial slow feature extraction network for industrial inferential modeling. Control Engineering Practice. 147. 105934–105934. 1 indexed citations
5.
Jiang, Chao, Xin Peng, Biao Huang, & Weimin Zhong. (2024). Switching probabilistic slow feature extraction for semisupervised industrial inferential modeling. Journal of Process Control. 141. 103277–103277. 2 indexed citations
6.
Jiang, Chao, et al.. (2024). Amorphous core-shell NiMoP@CuNWs rod-like structure with hydrophilicity feature for efficient hydrogen production in neutral media. CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION). 63. 154–163. 3 indexed citations
7.
Yang, Cheng, Chao Jiang, Guo Yu, Jun Li, & Cuimei Bo. (2024). Transferable adversarial slow feature extraction network for few-shot quality prediction in coal-to-ethylene glycol process. Chinese Journal of Chemical Engineering. 71. 258–271. 1 indexed citations
8.
Jiang, Chao, et al.. (2024). TSANN-TG: Temporal–Spatial Attention Neural Networks with Task-Specific Graph for EEG Emotion Recognition. Brain Sciences. 14(5). 516–516. 2 indexed citations
9.
Yu, Guo, et al.. (2024). Transferable preference learning in multi-objective decision analysis and its application to hydrocracking. Complex & Intelligent Systems. 10(5). 7401–7418.
10.
Jiang, Chao, et al.. (2024). An effective self-supervised learning method for attenuating various types of seismic noise. Geophysics. 89(6). V589–V604. 7 indexed citations
11.
12.
Wang, Xiaofeng, et al.. (2024). A signal-adaptive measurement matrix construction algorithm for compressed sensing of sEMG data. Measurement Science and Technology. 35(10). 106122–106122.
13.
Jiang, Chao, et al.. (2024). Multi-Objective Five-Element Cycle Optimization Algorithm Based on Multi-Strategy Fusion for the Bi-Objective Traveling Thief Problem. Applied Sciences. 14(17). 7468–7468. 1 indexed citations
14.
Jiang, Chao, Shida Gao, Xuesong Wang, et al.. (2023). Hybrid-modeling for PTFE polymerization reaction with deep learning-based reaction rate model. International Journal of Chemical Reactor Engineering. 21(11). 1389–1401. 2 indexed citations
15.
Jiang, Chao, et al.. (2021). Deep Bayesian Slow Feature Extraction With Application to Industrial Inferential Modeling. IEEE Transactions on Industrial Informatics. 19(1). 40–51. 19 indexed citations
16.
Jiang, Chao, et al.. (2020). A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications. IEEE Transactions on Industrial Informatics. 17(5). 3303–3313. 20 indexed citations
17.
Zhong, Weimin, Chao Jiang, Xin Peng, Zhi Li, & Feng Qian. (2018). Online Quality Prediction of Industrial Terephthalic Acid Hydropurification Process Using Modified Regularized Slow-Feature Analysis. Industrial & Engineering Chemistry Research. 57(29). 9604–9614. 34 indexed citations
18.
Liu, Shulin, et al.. (2015). Rolling bearing feature frequency extraction using extreme average envelope decomposition. Chinese Journal of Mechanical Engineering. 29(5). 1029–1036. 5 indexed citations
19.
Wang, Bo, Shulin Liu, Hongli Zhang, & Chao Jiang. (2014). Fault diagnosis of rolling bearing based on relevance vector machine and kernel principal component analysis. Journal of Vibroengineering. 16(1). 57–69. 10 indexed citations
20.
Jiang, Chao. (2010). Application of Machine Learning in Elevator Safety Management Assessment. 2 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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2026