Eddy Y. S. Foo

1.4k total citations
47 papers, 1.0k citations indexed

About

Eddy Y. S. Foo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Eddy Y. S. Foo has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 34 papers in Control and Systems Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Eddy Y. S. Foo's work include Microgrid Control and Optimization (21 papers), Smart Grid Energy Management (14 papers) and Power System Optimization and Stability (14 papers). Eddy Y. S. Foo is often cited by papers focused on Microgrid Control and Optimization (21 papers), Smart Grid Energy Management (14 papers) and Power System Optimization and Stability (14 papers). Eddy Y. S. Foo collaborates with scholars based in Singapore, China and United Kingdom. Eddy Y. S. Foo's co-authors include Hoay Beng Gooi, S. X. Chen, David K. Y. Yau, Hoang Hai Nguyen, Ravishankar K. Iyer, Zbigniew Kalbarczyk, Rui Tan, Ashok Krishnan, Prakash K. Ray and Asit Mohanty and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and Expert Systems with Applications.

In The Last Decade

Eddy Y. S. Foo

41 papers receiving 995 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eddy Y. S. Foo Singapore 15 758 731 204 129 73 47 1.0k
Mini S. Thomas India 16 679 0.9× 664 0.9× 165 0.8× 79 0.6× 38 0.5× 92 950
K. Moslehi United States 10 856 1.1× 1.1k 1.5× 224 1.1× 103 0.8× 73 1.0× 19 1.4k
Zhaoyang Qu China 13 334 0.4× 377 0.5× 201 1.0× 193 1.5× 94 1.3× 87 754
Shama Naz Islam Australia 18 695 0.9× 913 1.2× 255 1.3× 154 1.2× 94 1.3× 92 1.3k
Ranjit Kumar United States 5 550 0.7× 694 0.9× 119 0.6× 57 0.4× 44 0.6× 7 849
Dong Liu China 16 426 0.6× 587 0.8× 115 0.6× 56 0.4× 88 1.2× 132 844
Friederich Kupzog Austria 19 849 1.1× 928 1.3× 159 0.8× 55 0.4× 50 0.7× 84 1.2k
Habib Rajabi Mashhadi Iran 23 958 1.3× 1.5k 2.1× 111 0.5× 121 0.9× 22 0.3× 109 1.8k
Filip Andrén Austria 18 950 1.3× 878 1.2× 205 1.0× 94 0.7× 124 1.7× 63 1.3k
Gulnara Zhabelova Sweden 13 745 1.0× 769 1.1× 185 0.9× 89 0.7× 83 1.1× 31 1.2k

Countries citing papers authored by Eddy Y. S. Foo

Since Specialization
Citations

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

Fields of papers citing papers by Eddy Y. S. Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eddy Y. S. Foo. 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 Eddy Y. S. Foo. The network helps show where Eddy Y. S. Foo may publish in the future.

Co-authorship network of co-authors of Eddy Y. S. Foo

This figure shows the co-authorship network connecting the top 25 collaborators of Eddy Y. S. Foo. A scholar is included among the top collaborators of Eddy Y. S. Foo 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 Eddy Y. S. Foo. Eddy Y. S. Foo 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.
Chen, Tengpeng, et al.. (2025). State of Health Estimation for Lithium-Ion Batteries Using Separable LogSparse Self-Attention Transformer. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 2 indexed citations
2.
Jiang, Yajie, et al.. (2025). Privacy-Preserving-Based Distributed State-Decomposition Convex Optimization for Multi-DESS Operations. IEEE Transactions on Industry Applications. 61(3). 4541–4553.
3.
Jiang, Yajie, et al.. (2025). Distributed Observer-Based Resilient Optimization Control for DESSs Under False Data Injection Attacks. IEEE Transactions on Industry Applications. 61(3). 4578–4589.
4.
Foo, Eddy Y. S., et al.. (2024). A Convergence Predictor Model for Consensus-based Decentralised Energy Markets. DR-NTU (Nanyang Technological University). 606–609.
5.
Chen, Tengpeng, et al.. (2024). A dynamic state estimation method for integrated energy system based on radial basis kernel function. Measurement Science and Technology. 35(4). 45034–45034. 1 indexed citations
6.
Chen, Tengpeng, Fangyan Liu, Eddy Y. S. Foo, et al.. (2024). A new robust dynamic state estimation approach for power systems with non-Gaussian noise. International Journal of Electrical Power & Energy Systems. 158. 109948–109948. 1 indexed citations
7.
Foo, Eddy Y. S., et al.. (2024). A multi-objective partitioned design method for integrated energy system. International Journal of Electrical Power & Energy Systems. 162. 110291–110291. 1 indexed citations
8.
Chen, Tengpeng, et al.. (2024). A robust state estimation method for power systems using generalized correntropy loss function. Expert Systems with Applications. 251. 123994–123994. 3 indexed citations
9.
Sampath, L. P. Mohasha Isuru, et al.. (2023). Locating Critical Prosumers in P2P Dominant Grids Using State-Sensitivity Function. IEEE Transactions on Smart Grid. 14(5). 4145–4148.
10.
Yang, Yan, et al.. (2023). Electrical Properties and Lifetime Prediction of an Epoxy Composite Insulation Material after Hygrothermal Aging. Polymers. 15(8). 1942–1942. 3 indexed citations
11.
Chen, Tengpeng, et al.. (2022). An Agent-Based Distributed State Estimation Approach for Interconnected Power Systems. IEEE Systems Journal. 17(2). 3016–3025. 4 indexed citations
12.
Chen, Tengpeng, et al.. (2022). A Fast and Robust State Estimator Based on Exponential Function for Power Systems. IEEE Sensors Journal. 22(6). 5755–5767. 14 indexed citations
13.
Huang, Qi, Waqas Amin, Khalid Umer, et al.. (2021). A review of transactive energy systems: Concept and implementation. Energy Reports. 7. 7804–7824. 62 indexed citations
14.
Krdžavac, Nenad, et al.. (2020). OntoPowSys: A power system ontology for cross domain interactions in an eco industrial park. Energy and AI. 1. 100008–100008. 36 indexed citations
15.
Ray, Prakash K., Asit Mohanty, Eddy Y. S. Foo, et al.. (2018). Firefly algorithm scaled fractional order fuzzy PID based PSS for transient stability improvement. 428–433. 11 indexed citations
16.
Krishnan, Ashok, et al.. (2018). Multi-Energy Scheduling Using a Hybrid Systems Approach. IFAC-PapersOnLine. 51(16). 229–234. 3 indexed citations
17.
Prakash, K., et al.. (2018). Dual Tree Complex Wavelet Transform based Detection of Power Quality Disturbances. pp. 1177–1182. 5 indexed citations
18.
Chen, Tengpeng, Eddy Y. S. Foo, Keck Voon Ling, & Xuebing Chen. (2017). Distributed State Estimation Using a Modified Partitioned Moving Horizon Strategy for Power Systems. Sensors. 17(10). 2310–2310. 13 indexed citations
19.
Tan, Rui, Hoang Hai Nguyen, Eddy Y. S. Foo, et al.. (2016). Optimal False Data Injection Attack against Automatic Generation Control in Power Grids. 1–10. 70 indexed citations
20.
Foo, Eddy Y. S., et al.. (2015). Multi agent system for distributed management of microgrids. 1–1. 10 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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