T.K. Siu

499 total citations
11 papers, 385 citations indexed

About

T.K. Siu is a scholar working on Ocean Engineering, Electrical and Electronic Engineering and Water Science and Technology. According to data from OpenAlex, T.K. Siu has authored 11 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ocean Engineering, 5 papers in Electrical and Electronic Engineering and 3 papers in Water Science and Technology. Recurrent topics in T.K. Siu's work include Water resources management and optimization (6 papers), Electric Power System Optimization (5 papers) and Smart Grid Energy Management (3 papers). T.K. Siu is often cited by papers focused on Water resources management and optimization (6 papers), Electric Power System Optimization (5 papers) and Smart Grid Energy Management (3 papers). T.K. Siu collaborates with scholars based in Canada, United Kingdom and United States. T.K. Siu's co-authors include Kiran Kumar, Wilian A. Cortopassi, Robert S. Paton, Fernanda Duarte, Samuel O. Russell, Jian Li, Cornelius T. Leondes, W.C. Chan and T. Niimura and has published in prestigious journals such as IEEE Transactions on Power Systems, Chemical Science and IEEE Transactions on Reliability.

In The Last Decade

T.K. Siu

11 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T.K. Siu Canada	6	149	121	98	41	39	11	385
Linda Payet France	9	91 0.6×	249 2.1×	8 0.1×	4 0.1×	7 0.2×	9	546
Ivan Kryven Netherlands	15	21 0.1×	78 0.6×	9 0.1×	9 0.2×	12 0.3×	34	434
T. Banerjee India	11	35 0.2×	16 0.1×	20 0.2×	10 0.2×	8 0.2×	45	344
Keita Abe Japan	10	45 0.3×	82 0.7×	8 0.1×	42 1.0×	6 0.2×	34	321
Frans Van Cauwelaert Belgium	15	14 0.1×	331 2.7×	8 0.1×	43 1.0×	9 0.2×	35	603
Val Spikmans Australia	13	75 0.5×	45 0.4×	29 0.3×	3 0.1×	5 0.1×	25	505
Xinqiao Wang China	11	76 0.5×	83 0.7×	8 0.1×	9 0.2×	4 0.1×	35	436
Jacek Doskocz Poland	11	107 0.7×	75 0.6×	5 0.1×	9 0.2×	3 0.1×	21	452
L. B. Aberle Germany	10	28 0.2×	74 0.6×	5 0.1×	15 0.4×	3 0.1×	14	322
Yaxin An United States	14	30 0.2×	137 1.1×	9 0.1×	2 0.0×	44 1.1×	23	449

Countries citing papers authored by T.K. Siu

Since Specialization

Citations

This map shows the geographic impact of T.K. Siu'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 T.K. Siu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.K. Siu more than expected).

Fields of papers citing papers by T.K. Siu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.K. Siu. 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 T.K. Siu. The network helps show where T.K. Siu may publish in the future.

Co-authorship network of co-authors of T.K. Siu

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

All Works

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11 of 11 papers shown

1.

Kumar, Kiran, et al.. (2018). Cation–π interactions in protein–ligand binding: theory and data-mining reveal different roles for lysine and arginine. Chemical Science. 9(10). 2655–2665. 200 indexed citations

2.

Li, Jian, et al.. (2015). Application of a goal programming algorithm to incorporate environmental requirements in a multi-objective Columbia River Treaty Reservoir optimization model. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 40(1). 111–125. 5 indexed citations

3.

Siu, T.K., et al.. (2005). A practical hydro dynamic unit commitment and loading model. 26–29. 1 indexed citations

4.

Niimura, T., et al.. (2005). Transmission security-responsible optimal scheduling of hydro-generation system under a competitive environment. IEEE Power Engineering Society General Meeting, 2005. 1488–1493. 1 indexed citations

5.

Siu, T.K., et al.. (2003). The BC Hydro short term hydro scheduling optimization model. ii. 183–189. 3 indexed citations

6.

Siu, T.K., et al.. (2001). A practical hydro, dynamic unit commitment and loading model. IEEE Transactions on Power Systems. 16(2). 301–306. 48 indexed citations

7.

Siu, T.K., et al.. (2001). A Practical Hydro, Dynamic Unit Commitment and Loading Model. IEEE Power Engineering Review. 21(5). 64–64. 37 indexed citations

8.

Siu, T.K., et al.. (2000). The B.C. Hydro short term hydro scheduling optimization model. IEEE Transactions on Power Systems. 15(3). 1125–1131. 82 indexed citations

9.

Siu, T.K., et al.. (1999). A Decision Support System for Short Term Hydropower Scheduling and Reservoir Management in a Competitive Market. 1–8. 5 indexed citations

10.

Leondes, Cornelius T. & T.K. Siu. (1980). Identification both of the unknown plant and noise parameters of the K aim an filter†. International Journal of Systems Science. 11(6). 711–720. 2 indexed citations

11.

Siu, T.K. & W.C. Chan. (1978). A Mathematical Approach to Reliability Evaluation for Static Generating Capacity. IEEE Transactions on Reliability. R-27(2). 132–133. 1 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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