Yaoke Shi

572 total citations
19 papers, 406 citations indexed

About

Yaoke Shi is a scholar working on Control and Systems Engineering, Water Science and Technology and Artificial Intelligence. According to data from OpenAlex, Yaoke Shi has authored 19 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 7 papers in Water Science and Technology and 6 papers in Artificial Intelligence. Recurrent topics in Yaoke Shi's work include Fault Detection and Control Systems (7 papers), Water Quality Monitoring Technologies (6 papers) and Machine Learning and ELM (5 papers). Yaoke Shi is often cited by papers focused on Fault Detection and Control Systems (7 papers), Water Quality Monitoring Technologies (6 papers) and Machine Learning and ELM (5 papers). Yaoke Shi collaborates with scholars based in China and Australia. Yaoke Shi's co-authors include Xianjun Du, Veeriah Jegatheesan, Zhiwen Wang, Aimin An, Bin Gong, Yanrong Lu, Xuemin Zhang, Long Li, Bin Gong and Zhiwen Wang and has published in prestigious journals such as Applied Energy, Journal of Membrane Science and Expert Systems with Applications.

In The Last Decade

Yaoke Shi

14 papers receiving 400 citations

Peers

Yaoke Shi
Yaoke Shi
Citations per year, relative to Yaoke Shi Yaoke Shi (= 1×) peers Jasir Jawad

Countries citing papers authored by Yaoke Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yaoke Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoke Shi

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

All Works

19 of 19 papers shown
2.
Meng, Xin-You, Long Li, Yaoke Shi, et al.. (2025). Store-and-forward with graph attention: Enhanced multi-agent reinforcement learning for emergency-responsive traffic signal control. Engineering Applications of Artificial Intelligence. 159. 111602–111602.
3.
An, Aimin, et al.. (2025). An efficient lightweight gearbox fault diagnosis method based on parameter optimization and adaptive attention enhancement across working conditions. Measurement Science and Technology. 36(5). 56109–56109. 1 indexed citations
4.
An, Aijun, et al.. (2025). An efficient transfer fault diagnosis method integrating feature redundancy selection and multi-strategy parameter optimization. Expert Systems with Applications. 279. 127267–127267.
7.
Gong, Bin, et al.. (2024). An interpretable hybrid spatiotemporal fusion method for ultra-short-term photovoltaic power prediction. Energy. 308. 132969–132969. 3 indexed citations
8.
Gong, Bin, et al.. (2024). Fault diagnosis of photovoltaic array with multi-module fusion under hyperparameter optimization. Energy Conversion and Management. 319. 118974–118974. 7 indexed citations
9.
An, Aimin, et al.. (2024). Research on bearing remaining useful life anti-noise prediction based on fusion of color-grayscale time-frequency features. Measurement Science and Technology. 35(9). 96102–96102. 2 indexed citations
10.
Wang, Zhiwen, et al.. (2023). MBR membrane fouling diagnosis based on improved residual neural network. Journal of environmental chemical engineering. 11(3). 109742–109742. 10 indexed citations
11.
An, Aimin, et al.. (2023). Photovoltaic arrays fault diagnosis based on an improved dilated convolutional neural network with feature-enhancement. Measurement Science and Technology. 35(1). 15011–15011. 11 indexed citations
12.
Gong, Bin, Aimin An, Yaoke Shi, & Xuemin Zhang. (2023). Fast fault detection method for photovoltaic arrays with adaptive deep multiscale feature enhancement. Applied Energy. 353. 122071–122071. 27 indexed citations
13.
Wang, Zhiwen, et al.. (2022). Membrane Fouling Prediction Based on Tent-SSA-BP. Membranes. 12(7). 691–691. 20 indexed citations
14.
Shi, Yaoke, Zhiwen Wang, Xianjun Du, et al.. (2022). Membrane Fouling Diagnosis of Membrane Components Based on MOJS-ADBN. Membranes. 12(9). 843–843. 1 indexed citations
15.
Shi, Yaoke, Zhiwen Wang, Xianjun Du, et al.. (2022). Membrane fouling diagnosis of membrane components based on multi-feature information fusion. Journal of Membrane Science. 657. 120670–120670. 14 indexed citations
16.
Shi, Yaoke, et al.. (2022). Research on the membrane fouling diagnosis of MBR membrane module based on ECA-CNN. Journal of environmental chemical engineering. 10(3). 107649–107649. 27 indexed citations
17.
Shi, Yaoke, et al.. (2021). Recent Advances in the Prediction of Fouling in Membrane Bioreactors. Membranes. 11(6). 381–381. 35 indexed citations
18.
Shi, Yaoke & Zhiwen Wang. (2021). Prediction of Membrane Fouling Based on GA-RBF Neural Network and PCA. Journal of Physics Conference Series. 2033(1). 12092–12092. 2 indexed citations
19.
Du, Xianjun, et al.. (2020). A Review on the Mechanism, Impacts and Control Methods of Membrane Fouling in MBR System. Membranes. 10(2). 24–24. 246 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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