Chen‐Ching Liu

13.7k total citations · 5 hit papers
248 papers, 9.9k citations indexed

About

Chen‐Ching Liu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Chen‐Ching Liu has authored 248 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 183 papers in Electrical and Electronic Engineering, 157 papers in Control and Systems Engineering and 50 papers in Computer Networks and Communications. Recurrent topics in Chen‐Ching Liu's work include Smart Grid Security and Resilience (99 papers), Optimal Power Flow Distribution (70 papers) and Power System Optimization and Stability (62 papers). Chen‐Ching Liu is often cited by papers focused on Smart Grid Security and Resilience (99 papers), Optimal Power Flow Distribution (70 papers) and Power System Optimization and Stability (62 papers). Chen‐Ching Liu collaborates with scholars based in United States, Ireland and China. Chen‐Ching Liu's co-authors include Kevin P. Schneider, Chee‐Wooi Ten, Yin Xu, Manimaran Govindarasu, Junho Hong, Dan Ton, Jacques Lawarrée, Adam Hahn, Chih‐Che Sun and Francis Tuffner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Power Electronics.

In The Last Decade

Chen‐Ching Liu

233 papers receiving 9.5k citations

Hit Papers

Vulnerability Assessment of Cybersecurity for SCADA Systems 2008 2026 2014 2020 2008 2016 2018 2016 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen‐Ching Liu United States 55 7.2k 5.9k 1.9k 1.3k 922 248 9.9k
Anurag K. Srivastava United States 44 5.6k 0.8× 4.8k 0.8× 986 0.5× 738 0.6× 748 0.8× 387 7.5k
Junhua Zhao China 44 6.0k 0.8× 3.8k 0.6× 1.4k 0.7× 364 0.3× 879 1.0× 218 8.2k
Fengji Luo Australia 39 4.7k 0.7× 3.4k 0.6× 1.5k 0.8× 323 0.3× 967 1.0× 143 6.8k
Taher Niknam Iran 74 14.0k 2.0× 8.5k 1.4× 633 0.3× 1.1k 0.8× 1.9k 2.1× 364 17.3k
Fangxing Li United States 63 13.4k 1.9× 7.5k 1.3× 741 0.4× 1.4k 1.1× 517 0.6× 497 15.2k
Zhaoyang Dong Australia 45 5.3k 0.7× 2.6k 0.4× 915 0.5× 434 0.3× 665 0.7× 248 7.1k
Fushuan Wen China 53 9.4k 1.3× 3.4k 0.6× 375 0.2× 1.1k 0.9× 581 0.6× 559 10.9k
B.F. Wollenberg United States 27 10.4k 1.4× 4.0k 0.7× 760 0.4× 1.9k 1.5× 737 0.8× 76 11.7k
Ross Baldick United States 49 8.5k 1.2× 3.4k 0.6× 611 0.3× 1.2k 1.0× 326 0.4× 235 10.1k
Jun Yan Canada 32 1.9k 0.3× 2.6k 0.4× 936 0.5× 300 0.2× 683 0.7× 140 4.2k

Countries citing papers authored by Chen‐Ching Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Ching Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Ching Liu. 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 Chen‐Ching Liu. The network helps show where Chen‐Ching Liu may publish in the future.

Co-authorship network of co-authors of Chen‐Ching Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Ching Liu. A scholar is included among the top collaborators of Chen‐Ching Liu 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 Chen‐Ching Liu. Chen‐Ching Liu 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.
Mehrizi‐Sani, Ali, et al.. (2025). Cyberattack Detection and Mitigation on Central Volt‐VAr Using Circuit Law and Machine Learning. The Journal of Engineering. 2025(1).
2.
3.
Rehtanz, Christian, Ulf Häger, & Chen‐Ching Liu. (2024). Digital Twin: From Buzzword To Solutions [Guest Editorial]. IEEE Power and Energy Magazine. 22(1). 14–15.
4.
Liu, Chen‐Ching, et al.. (2024). Simulation and Analysis of Cyber Attacks on Power and Energy Systems. 1–6. 1 indexed citations
5.
Peng, Fang Zheng, Chen‐Ching Liu, Yuan Li, Akshay Kumar Jain, & Dmitri Vinnikov. (2023). Envisioning the Future Renewable and Resilient Energy Grids—A Power Grid Revolution Enabled by Renewables, Energy Storage, and Energy Electronics. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 5(1). 8–26. 39 indexed citations
6.
Li, Jiaxu, Yin Xu, Ying Wang, et al.. (2021). Resilience-Motivated Distribution System Restoration Considering Electricity-Water-Gas Interdependency. IEEE Transactions on Smart Grid. 12(6). 4799–4812. 40 indexed citations
7.
Borghei, Moein, Mona Ghassemi, & Chen‐Ching Liu. (2020). Optimal Capacity and Placement of Microgrids for Resiliency Enhancement of Distribution Networks Under Extreme Weather Events. 1–5. 10 indexed citations
8.
Wu, Xiaoyu, Yin Xu, Xiangyu Wu, et al.. (2019). A Two-Layer Distributed Cooperative Control Method for Islanded Networked Microgrid Systems. IEEE Transactions on Smart Grid. 11(2). 942–957. 79 indexed citations
9.
Xie, Jing, Chen‐Ching Liu, & M. Sforna. (2015). Distributed underfrequency load shedding using a multi-agent system. 1–6. 6 indexed citations
10.
James, Joshua I., et al.. (2012). Towards Automated malware behavioral analysis and profiling for digital forensic investigation purposes. Arrow@dit (Dublin Institute of Technology). 1 indexed citations
11.
Hou, Yunhe, et al.. (2011). Computation of milestones for decision support during system restoration. The HKU Scholars Hub (University of Hong Kong). 1–10. 9 indexed citations
12.
Hou, Yunhe, et al.. (2010). Computation of Milestones for Decision Support During System Restoration. IEEE Transactions on Power Systems. 26(3). 1399–1409. 95 indexed citations
13.
Zhou, Qun, Leigh Tesfatsion, & Chen‐Ching Liu. (2010). Short-Term Congestion Forecasting in Wholesale Power Markets. Iowa State University Digital Repository (Iowa State University). 1 indexed citations
14.
Yu, Nanpeng, Leigh Tesfatsion, & Chen‐Ching Liu. (2010). Financial Bilateral Contract Negotiation in Wholesale Electric Power Markets Using Nash Bargaining Theory. Staff General Research Papers Archive.
15.
Zhou, Qun, Leigh Tesfatsion, & Chen‐Ching Liu. (2010). Global sensitivity analysis for the short-term prediction of system variables. 1–8. 5 indexed citations
16.
Sun, Wei, et al.. (2009). Optimal Generator Start-Up Strategy for Power System Restoration. 1–7. 20 indexed citations
17.
Ten, Chee‐Wooi, et al.. (2008). Vulnerability Assessment of Cybersecurity for SCADA Systems. IEEE Transactions on Power Systems. 23(4). 1836–1846. 417 indexed citations breakdown →
18.
Stefano, Antonella Di, D. Maratukulam, Juhwan Jung, et al.. (2001). Logic and validation techniques for handling of missing information in fault diagnosis. Dialnet (Universidad de la Rioja). 9(4). 213–218. 1 indexed citations
19.
Jung, Juhwan & Chen‐Ching Liu. (2001). Multi-agent technology for vulnerability assessment and control. 1. 1287–1292 vol.2. 23 indexed citations
20.
Tomsovic, Kevin, et al.. (1987). An Expert System as a Dispatchers' Aid for the Isolation of Line Section Faults. IEEE Transactions on Power Delivery. 2(3). 736–743. 93 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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