Tingyan Guo

430 total citations
14 papers, 355 citations indexed

About

Tingyan Guo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Tingyan Guo has authored 14 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 10 papers in Control and Systems Engineering and 9 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Tingyan Guo's work include Power System Optimization and Stability (13 papers), Power Systems Fault Detection (10 papers) and Power System Reliability and Maintenance (9 papers). Tingyan Guo is often cited by papers focused on Power System Optimization and Stability (13 papers), Power Systems Fault Detection (10 papers) and Power System Reliability and Maintenance (9 papers). Tingyan Guo collaborates with scholars based in United Kingdom, China and United States. Tingyan Guo's co-authors include Jovica V. Milanović, Panagiotis N. Papadopoulos, Huilian Liao, Goran Peškir, Phil Taylor, Xiangyu Wang, John Moriarty, Zhixuan Liu and Xiaoqing Tang and has published in prestigious journals such as IEEE Transactions on Power Systems, Research Explorer (The University of Manchester) and Queen Mary Research Online (Queen Mary University of London).

In The Last Decade

Tingyan Guo

14 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tingyan Guo United Kingdom	7	329	166	139	39	14	14	355
Vuk Malbaša United States	9	322 1.0×	223 1.3×	100 0.7×	30 0.8×	9 0.6×	13	367
Magesh Paramasivam United States	8	388 1.2×	233 1.4×	81 0.6×	21 0.5×	18 1.3×	9	394
Pratyasa Bhui India	7	270 0.8×	168 1.0×	52 0.4×	23 0.6×	15 1.1×	28	313
Younes J. Isbeih United Arab Emirates	10	299 0.9×	215 1.3×	47 0.3×	27 0.7×	13 0.9×	15	340
K. Demaree United States	8	370 1.1×	164 1.0×	94 0.7×	18 0.5×	9 0.6×	12	379
Tatiane C. C. Fernandes Brazil	6	358 1.1×	273 1.6×	31 0.2×	27 0.7×	11 0.8×	17	395
Edson L. Geraldi Brazil	6	359 1.1×	275 1.7×	30 0.2×	23 0.6×	11 0.8×	16	391
J.N. Wrubel United States	7	405 1.2×	195 1.2×	104 0.7×	32 0.8×	6 0.4×	16	440
Benjamin Donnot France	7	139 0.4×	56 0.3×	29 0.2×	47 1.2×	14 1.0×	15	172
Savu C. Savulescu United States	9	262 0.8×	172 1.0×	62 0.4×	16 0.4×	9 0.6×	22	282

Countries citing papers authored by Tingyan Guo

Since Specialization

Citations

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

Fields of papers citing papers by Tingyan Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingyan Guo

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

All Works

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14 of 14 papers shown

Papadopoulos, Panagiotis N., Tingyan Guo, & Jovica V. Milanović. (2017). Probabilistic Framework for Online Identification of Dynamic Behavior of Power Systems With Renewable Generation. IEEE Transactions on Power Systems. 33(1). 45–54. 41 indexed citations

Liu, Zhixuan, Huilian Liao, Jovica V. Milanović, Tingyan Guo, & Xiaoqing Tang. (2017). Optimal monitor placement for voltage unbalance based on distribution network state estimation. Research Explorer (The University of Manchester). 1–6. 1 indexed citations

Guo, Tingyan, et al.. (2017). Probabilistic assessment of voltage control zones and visualization using choropleth map. Research Explorer (The University of Manchester). 1–6. 5 indexed citations

Guo, Tingyan, et al.. (2016). Application of sequential testing problem to online detection of transient stability status for power systems. Queen Mary Research Online (Queen Mary University of London). 1536–1541. 3 indexed citations

Guo, Tingyan. (2015). On-line Identification of Power System Dynamic Signature Using PMU Measurements and Data Mining. Research Explorer (The University of Manchester). 1 indexed citations

Liao, Huilian, et al.. (2015). Global assessment of power quality performance of networks using the analytic hierarchy process model. Research Explorer (The University of Manchester). 1–6. 6 indexed citations

Papadopoulos, Panagiotis N., Tingyan Guo, Xiangyu Wang, & Jovica V. Milanović. (2015). Impact of measurement signals on the accuracy of online identification of power system dynamic signature. Research Explorer (The University of Manchester). 3. 1–6. 3 indexed citations

Guo, Tingyan & Jovica V. Milanović. (2015). Online Identification of Power System Dynamic Signature Using PMU Measurements and Data Mining. IEEE Transactions on Power Systems. 31(3). 1760–1768. 123 indexed citations

Guo, Tingyan, et al.. (2015). Comparison of ensemble decision tree methods for on-line identification of power system dynamic signature considering availability of PMU measurements. 1–6. 4 indexed citations

10.

Guo, Tingyan & Jovica V. Milanović. (2014). Identification of power system dynamic signature using hierarchical clustering. Research Explorer (The University of Manchester). 1–5. 7 indexed citations

11.

Guo, Tingyan, et al.. (2014). Evaluation of classification methods for on-line identification of power system dynamic signature. Research Explorer (The University of Manchester). 1–7. 5 indexed citations

12.

Guo, Tingyan & Jovica V. Milanović. (2013). On-line prediction of transient stability using decision tree method — Sensitivity of accuracy of prediction to different uncertainties. Research Explorer (The University of Manchester). 26. 1–6. 7 indexed citations

13.

Guo, Tingyan & Jovica V. Milanović. (2013). The effect of quality and availability of measurement signals on accuracy of on-line prediction of transient stability using decision tree method. Research Explorer (The University of Manchester). 1–5. 22 indexed citations

14.

Guo, Tingyan & Jovica V. Milanović. (2013). Probabilistic Framework for Assessing the Accuracy of Data Mining Tool for Online Prediction of Transient Stability. IEEE Transactions on Power Systems. 29(1). 377–385. 127 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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