T.S. Chung

1.8k citations
87 papers · 1.4k · h-index 22

Impact in

Papers in

T.S. Chung

80 papers receiving 1.3k citations

Peers

T.S. Chung
Comparison fields: 5 of 57
  • Safety, Risk, Reliability and Quality 249
  • Electrical and Electronic Engineering 1.4k
  • Control and Systems Engineering 533
  • Energy Engineering and Power Technology 43
  • Management Science and Operations Research 48
Replace P. Marannino with:
P. Marannino Italy
FF Wu Hong Kong
R.J. Kaye Australia
M. Montagna Italy
S. Granville Brazil
G.P. Granelli Italy
Fulin Zhuang Canada
Wanliang Fang China
Jorge L. Jardim Brazil
Maria Vrakopoulou Switzerland
T.S. Chung relative to P. Marannino Italy P. Marannino's profile →
Citations per field
00.5×2.5×
P. Marannino · 1×
Citations per year

Countries citing papers authored by T.S. Chung

Since Specialization
Citations

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

Fields of papers citing papers by T.S. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T.S. Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T.S. Chung Line = papers co-authored together T.S. Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000118
2 2009116
3 200098
4 199990
5 200169
6 200452
7 200447
8 200247
9 200344
10 200240
11 200139
12 199832
13 199929
14 199928
15 200028
16 200426
17 200426
18 200826
19 199622
20 200522

About T.S. Chung

T.S. Chung is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence and Astronomy and Astrophysics, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Power System Optimization and Stability (54 papers), Optimal Power Flow Distribution (45 papers), Electric Power System Optimization (27 papers), HVDC Systems and Fault Protection (21 papers), Power System Reliability and Maintenance (17 papers), Smart Grid Energy Management (12 papers), Power Systems Fault Detection (11 papers) and Microgrid Control and Optimization (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (249 citations), Electrical and Electronic Engineering (1.4k citations), Control and Systems Engineering (533 citations), Energy Engineering and Power Technology (43 citations) and Management Science and Operations Research (48 citations). T.S. Chung has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Shemin Ge, Kit Po Wong, D.Z. Fang, C. Y. Chung, Carol Yu, K.K. Li, Yao Zhang, Shaohua Zhang, S. L. Ho and Qifeng Ding. Their work appears in journals such as Electric Power Systems Research, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Power Systems, IET Generation Transmission & Distribution and International Journal of Quality & Reliability Management.

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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