Gangquan Si

754 total citations
45 papers, 555 citations indexed

About

Gangquan Si is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Gangquan Si has authored 45 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Gangquan Si's work include Advanced Memory and Neural Computing (12 papers), stochastic dynamics and bifurcation (8 papers) and Neural Networks Stability and Synchronization (7 papers). Gangquan Si is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), stochastic dynamics and bifurcation (8 papers) and Neural Networks Stability and Synchronization (7 papers). Gangquan Si collaborates with scholars based in China, Australia and United States. Gangquan Si's co-authors include Yanbin Zhang, Kai Qu, Zhang Guo, Hui Cao, Ningning Yang, Chaojun Wu, Zhou Zhou, Lixin Jia, Jianwei Zhu and Herbert Ho‐Ching Iu and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and Expert Systems with Applications.

In The Last Decade

Gangquan Si

43 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gangquan Si China 15 280 166 140 122 75 45 555
Godpromesse Kenné Cameroon 18 603 2.2× 169 1.0× 124 0.9× 471 3.9× 138 1.8× 77 1.0k
Amr M. AbdelAty Egypt 17 295 1.1× 190 1.1× 206 1.5× 366 3.0× 82 1.1× 45 862
Boudour Ammar Tunisia 10 172 0.6× 66 0.4× 287 2.0× 72 0.6× 121 1.6× 33 479
Israel Cruz-Vega Mexico 11 78 0.3× 91 0.5× 112 0.8× 150 1.2× 41 0.5× 40 542
Zehra Saraç Türkiye 10 183 0.7× 69 0.4× 58 0.4× 62 0.5× 39 0.5× 33 476
Tien-Loc Le Vietnam 18 87 0.3× 192 1.2× 369 2.6× 266 2.2× 212 2.8× 42 740
D. López-Mancilla Mexico 13 69 0.2× 202 1.2× 70 0.5× 68 0.6× 140 1.9× 29 474
Pitikhate Sooraksa Thailand 14 104 0.4× 63 0.4× 94 0.7× 129 1.1× 50 0.7× 84 500
Ramzy S. Ali Iraq 12 265 0.9× 22 0.1× 118 0.8× 85 0.7× 51 0.7× 63 555

Countries citing papers authored by Gangquan Si

Since Specialization
Citations

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

Fields of papers citing papers by Gangquan Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gangquan Si

This figure shows the co-authorship network connecting the top 25 collaborators of Gangquan Si. A scholar is included among the top collaborators of Gangquan Si 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 Gangquan Si. Gangquan Si 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.
Xu, Xiang, et al.. (2025). Neuromorphic dynamics and behavior synchronization of fractional-order memristive synapses. Chaos Solitons & Fractals. 197. 116469–116469. 1 indexed citations
2.
Qu, Kai, et al.. (2025). Improving economic operation of a microgrid through expert behaviors and prediction intervals. Applied Energy. 383. 125391–125391. 3 indexed citations
3.
Si, Gangquan, et al.. (2025). Wind Turbine Blade Icing Predictive Fault Warning System Based on Conditional Time Series Denoising Diffusion Data Restoration Model. IEEE Transactions on Automation Science and Engineering. 22. 19122–19134.
4.
Si, Gangquan, et al.. (2024). Source-Free Domain Adaptation With Self-Supervised Learning for Nonintrusive Load Monitoring. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 4 indexed citations
5.
Si, Gangquan, et al.. (2023). Conditions for realization of multiple pinch‐off points in generalized fractional‐order memory elements. International Journal of Circuit Theory and Applications. 51(11). 5050–5065. 3 indexed citations
6.
Si, Gangquan, et al.. (2023). Dynamics of a fractional order locally-active Memristor with applications in oscillatory systems*. Physica Scripta. 98(11). 115213–115213. 3 indexed citations
7.
Zhou, Zhou, Mitra Baratchi, Gangquan Si, Holger H. Hoos, & Gang Huang. (2023). Adaptive error bounded piecewise linear approximation for time-series representation. Engineering Applications of Artificial Intelligence. 126. 106892–106892. 1 indexed citations
8.
Si, Gangquan, et al.. (2023). Multiscale Self-Attention Architecture in Temporal Neural Network for Nonintrusive Load Monitoring. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 16 indexed citations
9.
Qu, Kai, et al.. (2023). Forwardformer: Efficient Transformer With Multi-Scale Forward Self-Attention for Day-Ahead Load Forecasting. IEEE Transactions on Power Systems. 39(1). 1421–1433. 14 indexed citations
10.
Zhou, Zhou, et al.. (2022). A robust clustering algorithm based on the identification of core points and KNN kernel density estimation. Expert Systems with Applications. 195. 116573–116573. 30 indexed citations
12.
Qu, Kai, et al.. (2021). Time series simulation for multiple wind farms based on HMMs and regular vine copulas. Journal of Renewable and Sustainable Energy. 13(2). 4 indexed citations
13.
Liu, Yue, Herbert Ho‐Ching Iu, Zhang Guo, & Gangquan Si. (2020). The Simple Charge-Controlled Grounded/Floating Mem-Element Emulator. IEEE Transactions on Circuits & Systems II Express Briefs. 68(6). 2177–2181. 29 indexed citations
14.
Guo, Zhang, et al.. (2020). A Phasor Analysis Method for Charge-Controlled Memory Elements. International Journal of Bifurcation and Chaos. 30(14). 2030041–2030041. 7 indexed citations
15.
Si, Gangquan, et al.. (2019). Application of Fractional Fourier Transform for Prediction of Ball Mill Loads Using Acoustic Signals. IEEE Access. 7. 84170–84181. 4 indexed citations
16.
Guo, Zhang, et al.. (2018). Generalized modeling and character analyzing of composite fractional-order memristors in series connection. Nonlinear Dynamics. 95(1). 101–115. 15 indexed citations
17.
Si, Gangquan, et al.. (2017). Reconstruct the Support Vectors to Improve LSSVM Sparseness for Mill Load Prediction. Mathematical Problems in Engineering. 2017(1). 13 indexed citations
18.
Wu, Chaojun, Gangquan Si, Yanbin Zhang, & Ningning Yang. (2014). The fractional-order state-space averaging modeling of the Buck–Boost DC/DC converter in discontinuous conduction mode and the performance analysis. Nonlinear Dynamics. 79(1). 689–703. 65 indexed citations
19.
Si, Gangquan, Hui Cao, Yanbin Zhang, & Lixin Jia. (2008). A new approach to load measurement for industrial scale ball mill. 8. 302–307. 3 indexed citations
20.
Si, Gangquan. (2004). STUDY ON LOAD DETECTING METHOD FOR BALL MILLS IN POWER PLANT AND REALIZATION THEREOF. Thermal Power Generation. 1 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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