Xiaohong Ran

709 total citations
37 papers, 555 citations indexed

About

Xiaohong Ran is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Xiaohong Ran has authored 37 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 18 papers in Control and Systems Engineering and 5 papers in Energy Engineering and Power Technology. Recurrent topics in Xiaohong Ran's work include Microgrid Control and Optimization (13 papers), Advanced DC-DC Converters (10 papers) and Electric Power System Optimization (10 papers). Xiaohong Ran is often cited by papers focused on Microgrid Control and Optimization (13 papers), Advanced DC-DC Converters (10 papers) and Electric Power System Optimization (10 papers). Xiaohong Ran collaborates with scholars based in China, Singapore and United States. Xiaohong Ran's co-authors include Shihong Miao, Kaipei Liu, Hao Bai, Jun Deng, Chao Wang, Qing Zhang, Gaoxing Luo, Ziming Wei, Jinlin Song and Ximu Zhang and has published in prestigious journals such as Advanced Functional Materials, IEEE Transactions on Power Electronics and IEEE Transactions on Power Systems.

In The Last Decade

Xiaohong Ran

34 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohong Ran China 14 368 187 76 73 60 37 555
Yiming Han China 11 232 0.6× 108 0.6× 22 0.3× 25 0.3× 9 0.1× 68 461
Sule Selcuk Türkiye 6 40 0.1× 77 0.4× 9 0.1× 47 0.6× 9 0.1× 7 333
Xinqing Gao China 10 14 0.0× 402 2.1× 13 0.2× 81 1.1× 9 0.1× 23 606
Xiangshun Li China 12 129 0.4× 124 0.7× 87 1.2× 11 0.2× 52 464
Xuekun Yang China 8 13 0.0× 18 0.1× 75 1.0× 68 0.9× 22 0.4× 24 263
Jiali Wang China 14 255 0.7× 51 0.3× 4 0.1× 5 0.1× 5 0.1× 57 576
Chen Tang China 14 140 0.4× 106 0.6× 1 0.0× 21 0.3× 9 0.1× 60 510
Hao Bai China 17 571 1.6× 358 1.9× 3 0.0× 11 0.2× 20 0.3× 63 766
Shaodong Zheng China 9 18 0.0× 191 1.0× 6 0.1× 21 0.3× 7 0.1× 12 311

Countries citing papers authored by Xiaohong Ran

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Ran

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Ran. A scholar is included among the top collaborators of Xiaohong Ran 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 Xiaohong Ran. Xiaohong Ran 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.
Ran, Xiaohong, Wee Peng Tay, & Christopher H. T. Lee. (2025). High-Performance Optimization Model Based on Novel Conditional Value At Risk Metric for Power Grids With High Wind Power Penetration. IEEE Transactions on Industrial Informatics. 21(7). 5689–5700. 1 indexed citations
2.
Ran, Xiaohong, et al.. (2025). An Extended False Data Injection Attack via Deep Reinforcement Learning: Attack Model and Countermeasures in Cyber-Physical Power Systems. IEEE Transactions on Automation Science and Engineering. 22. 19750–19762.
3.
Ran, Xiaohong, et al.. (2025). Bionic Microneedle Patch Inspired by Drosophila Tarsal Paws Boosts Healing in Bacterial Infectious Stomatitis. Advanced Science. 12(35). e00432–e00432. 1 indexed citations
4.
Ran, Xiaohong, Wee Peng Tay, & Christopher H. T. Lee. (2024). Uncertain Interval-Based Risk Dispatch Approach of Power Systems Under an Unified Framework of Multiple Uncertainties. IEEE Transactions on Industrial Informatics. 21(3). 2053–2063. 2 indexed citations
5.
6.
Ran, Xiaohong, Wee Peng Tay, & Christopher H. T. Lee. (2024). Robust Data-Driven Adversarial False Data Injection Attack Detection Method With Deep Q-Network in Power Systems. IEEE Transactions on Industrial Informatics. 20(8). 10405–10418. 3 indexed citations
7.
Ran, Xiaohong, et al.. (2024). Bilateral Symmetrical Mandibular Canines with Two Roots and Two Separate Canals: A Case Report and Literature Review. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20. e15734056317207–e15734056317207. 1 indexed citations
8.
Ran, Xiaohong, et al.. (2024). A Reinforced Model Predictive Control to Eliminate Power Pulsation Residual Components and Achieve High-Purity Grid Currents Under Unbalanced Grids. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 5(3). 1132–1142.
9.
Tang, Xu, Jing Wang, Xiaohong Ran, Kaipei Liu, & Liang Qin. (2023). False Data Injection Attack Diminishing the Performance of Controllable Devices in Active Distribution Networks. 1379–1384. 1 indexed citations
10.
Liu, Kaipei, et al.. (2022). Model Predictive Duty Cycle Control for Three-Phase Vienna Rectifiers With Reduced Neutral-Point Voltage Ripple Under Unbalanced DC Links. IEEE Journal of Emerging and Selected Topics in Power Electronics. 10(5). 5578–5590. 11 indexed citations
11.
Ran, Xiaohong, Jiahao Zhang, & Kaipei Liu. (2022). An Interval–Probabilistic CVaR (IP-CVaR) and Modelling for Unknown Probability Distribution of Some Random Variables. IEEE Transactions on Power Systems. 38(3). 2035–2045. 16 indexed citations
12.
Liu, Kaipei, et al.. (2022). Model predictive duty cycle control for three‐phase Vienna rectifiers. IET Power Electronics. 15(5). 447–461. 5 indexed citations
13.
Liu, Kaipei, et al.. (2020). An Affine Arithmetic-Based Model of Interval Power Flow With the Correlated Uncertainties in Distribution System. IEEE Access. 8. 60293–60304. 15 indexed citations
14.
Deng, Jun, Yingying Tang, Qing Zhang, et al.. (2019). A Bioinspired Medical Adhesive Derived from Skin Secretion of Andrias davidianus for Wound Healing. Advanced Functional Materials. 29(31). 153 indexed citations
15.
Zhu, Shu, Kaipei Liu, Liang Qin, et al.. (2019). Reduced-Order Dynamic Model of Modular Multilevel Converter in Long Time Scale and Its Application in Power System Low-Frequency Oscillation Analysis. IEEE Transactions on Power Delivery. 34(6). 2110–2122. 29 indexed citations
16.
Ran, Xiaohong & Shihong Miao. (2016). Three‐phase probabilistic load flow for power system with correlated wind, photovoltaic and load. IET Generation Transmission & Distribution. 10(12). 3093–3101. 56 indexed citations
17.
Ran, Xiaohong, et al.. (2015). A framework for uncertainty quantification and economic dispatch model with wind–solar energy. International Journal of Electrical Power & Energy Systems. 73. 23–33. 16 indexed citations
18.
Ran, Xiaohong & Shihong Miao. (2015). Probabilistic evaluation for static voltage stability for unbalanced three‐phase distribution system. IET Generation Transmission & Distribution. 9(14). 2050–2059. 17 indexed citations
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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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