Shuo Yan

972 total citations
37 papers, 762 citations indexed

About

Shuo Yan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Shuo Yan has authored 37 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 32 papers in Control and Systems Engineering and 9 papers in Automotive Engineering. Recurrent topics in Shuo Yan's work include Microgrid Control and Optimization (31 papers), Smart Grid Energy Management (14 papers) and Advanced DC-DC Converters (11 papers). Shuo Yan is often cited by papers focused on Microgrid Control and Optimization (31 papers), Smart Grid Energy Management (14 papers) and Advanced DC-DC Converters (11 papers). Shuo Yan collaborates with scholars based in Hong Kong, United Kingdom and Australia. Shuo Yan's co-authors include S.Y.R. Hui, Tang Xiao, Chi-Kwan Lee, Balarko Chaudhuri, Tianbo Yang, Minghao Wang, Jie Chen, Yongheng Yang, Frede Blaabjerg and C.K. Lee and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Shuo Yan

31 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuo Yan Hong Kong	14	714	652	173	54	34	37	762
Zunaib Maqsood Haider Pakistan	15	583 0.8×	371 0.6×	195 1.1×	55 1.0×	13 0.4×	31	669
Mehdi Farasat United States	15	695 1.0×	328 0.5×	156 0.9×	41 0.8×	18 0.5×	54	774
Wentao Jiang China	18	886 1.2×	687 1.1×	240 1.4×	122 2.3×	37 1.1×	73	1.0k
Xingguo Tan China	7	533 0.7×	457 0.7×	226 1.3×	130 2.4×	19 0.6×	8	679
Amir Khorsandi Iran	11	695 1.0×	568 0.9×	111 0.6×	120 2.2×	22 0.6×	42	754
Jumpei Baba Japan	12	734 1.0×	388 0.6×	362 2.1×	62 1.1×	14 0.4×	70	790
Yap Hoon Malaysia	14	655 0.9×	379 0.6×	124 0.7×	59 1.1×	25 0.7×	36	711
Yubin Wang China	11	735 1.0×	527 0.8×	128 0.7×	116 2.1×	12 0.4×	69	815
Ehsan Abbasi Iran	9	363 0.5×	273 0.4×	140 0.8×	45 0.8×	20 0.6×	28	440
Danny Ochoa-Correa Ecuador	11	466 0.7×	338 0.5×	66 0.4×	95 1.8×	26 0.8×	55	560

Countries citing papers authored by Shuo Yan

Since Specialization

Citations

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

Fields of papers citing papers by Shuo Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yan, Shuo, et al.. (2025). Robust Distributed Learning Framework for FDIA Estimation and Mitigation in Grid-Forming Converters. IEEE Transactions on Industrial Electronics. 73(1). 814–825.

Yan, Shuo, et al.. (2024). Big Data Storage and Analysis System for Space Application. 1764–1769.

Wang, Qingsong, et al.. (2024). Optimization of Reflux Power in Triple Active Bridge With Online Particle Swarm Optimization and Exponential Weighted Moving Average Algorithm. IEEE Journal of Emerging and Selected Topics in Power Electronics. 12(2). 2097–2107. 5 indexed citations

Wang, Qingsong, et al.. (2023). A Topology of Current-Fed DC Electric Spring. IEEE Transactions on Industry Applications. 60(2). 2870–2879.

Li, Kerui, et al.. (2023). Model predictive direct torque control of a three‐phase four‐switch inverter induction motor driving system. IET Smart Grid. 6(6). 585–595.

Li, Yong, et al.. (2023). Research on Temperature Adaptive Control Method of Auxiliary Dialysis Equipment Based on RBF Neural Network. 938–941.

Yan, Shuo, Jie Chen, Tang Xiao, & S.Y.R. Hui. (2019). A New Geometric Vector Optimization of Predictive Direct Power Control. IEEE Transactions on Power Electronics. 35(5). 5427–5436. 13 indexed citations

Wang, Minghao, Shuo Yan, Tang Xiao, Zhao Xu, & S.Y.R. Hui. (2019). Decentralized Control of DC Electric Springs for Storage Reduction in DC Microgrids. IEEE Transactions on Power Electronics. 35(5). 4634–4646. 28 indexed citations

Chen, Jie, Shuo Yan, Tianbo Yang, Tang Xiao, & S.Y.R. Hui. (2018). Practical Evaluation of Droop and Consensus Control of Distributed Electric Springs for Both Voltage and Frequency Regulation in Microgrid. IEEE Transactions on Power Electronics. 34(7). 6947–6959. 39 indexed citations

10.

Yang, Tianbo, et al.. (2018). Dynamic Modular Modeling of Smart Loads Associated With Electric Springs and Control. IEEE Transactions on Power Electronics. 33(12). 10071–10085. 22 indexed citations

11.

Liu, Tao, et al.. (2018). Granular load‐side frequency control with electric spring aggregators and leader–follower consensus. IET Generation Transmission & Distribution. 13(9). 1700–1708. 5 indexed citations

12.

Yan, Shuo, Minghao Wang, Jie Chen, & S.Y.R. Hui. (2017). Smart Loads for Improving the Fault-Ride-Through Capability of Fixed-Speed Wind Generators in Microgrids. IEEE Transactions on Smart Grid. 10(1). 661–669. 11 indexed citations

13.

Luo, Xiao, Chi-Kwan Lee, Wai Man Ng, et al.. (2016). Use of Adaptive Thermal Storage System as Smart Load for Voltage Control and Demand Response. IEEE Transactions on Smart Grid. 8(3). 1231–1241. 43 indexed citations

14.

Yan, Shuo, Minghao Wang, Tianbo Yang, & S.Y.R. Hui. (2016). Instantaneous frequency regulation of microgrids via power shedding of smart load and power limiting of renewable generation. 1–6. 5 indexed citations

15.

Lee, Chi-Kwan, et al.. (2016). A unified converter topology for Electric Spring. The HKU Scholars Hub (University of Hong Kong). 1–6. 4 indexed citations

16.

Wang, Minghao, Shuo Yan, Tang Xiao, & S.Y.R. Hui. (2016). DC electric springs with modified droop control for storage reduction in DC microgrids. The HKU Scholars Hub (University of Hong Kong). 1–6. 3 indexed citations

17.

Yan, Shuo, Tang Xiao, & S.Y.R. Hui. (2015). Sliding mode control for improving the performance of PV inverter with MPPT — A comparison between SM and PI control. The HKU Scholars Hub (University of Hong Kong). 1–10. 9 indexed citations

18.

Ke, Lei, et al.. (2014). Feedback control of TET system with variable coupling coefficients for a novel artificial anal sphincter. Journal of Medical Engineering & Technology. 38(2). 90–99. 7 indexed citations

19.

Yan, Shuo, Tang Xiao, Chi-Kwan Lee, Balarko Chaudhuri, & S.Y.R. Hui. (2014). Electric Springs for Reducing Power Imbalance in Three-Phase Power Systems. IEEE Transactions on Power Electronics. 30(7). 3601–3609. 114 indexed citations

20.

Yan, Shuo, Tang Xiao, C.K. Lee, & S.Y.R. Hui. (2014). Electric spring for power quality improvement. The HKU Scholars Hub (University of Hong Kong). 2140–2147. 75 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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