C.S. Chang

2.7k citations
82 papers · 2.1k indexed · h-index 25

C.S. Chang

80 papers receiving 1.9k citations

Peers

C.S. Chang
Comparison fields: 5 of 92
  • Control and Systems Engineering 807
  • Safety, Risk, Reliability and Quality 248
  • Electrical and Electronic Engineering 1.3k
  • Industrial and Manufacturing Engineering 216
  • Transportation 124
Replace Nanpeng Yu with:
Nanpeng Yu United States
Fei Xue China
V. Petridis Greece
K. Shanti Swarup India
Dewei Li China
Victoria M. Catterson United Kingdom
Yosuke Nakanishi Japan
Baosen Zhang United States
C.S. Chang relative to Nanpeng Yu United States Nanpeng Yu's profile →
Citations per field
00.5×2.6×
Nanpeng Yu · 1×
Citations per year

Countries citing papers authored by C.S. Chang

Since Specialization
Citations

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

Fields of papers citing papers by C.S. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside C.S. Chang, 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 C.S. Chang Line = papers co-authored together C.S. Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202323
2 202123
3 20209
4 201210
5 201120
6 20107
7 201011
8 200913
9 200841
10 20022
11 20028
12 20027
13 200071
14
Partial discharge pattern analysis with correlation coefficients
20000
15 199936
16 199756
17 199790
18 199616
19 199639
20
Enhancement of power system security and voltage control by an expert system using pattern recognition techniques
19911

About C.S. Chang

C.S. Chang is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality, Energy Engineering and Power Technology, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering, having authored 82 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (21 papers), Power System Optimization and Stability (17 papers), Electric Power System Optimization (15 papers), Power System Reliability and Maintenance (13 papers), Power Systems Fault Detection (11 papers), Railway Systems and Energy Efficiency (9 papers), Microgrid Control and Optimization (8 papers) and Power Quality and Harmonics (8 papers). The work is most often cited by research in Control and Systems Engineering (807 citations), Safety, Risk, Reliability and Quality (248 citations), Electrical and Electronic Engineering (1.3k citations), Industrial and Manufacturing Engineering (216 citations) and Transportation (124 citations). C.S. Chang has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Fushuan Wen, Weihui Fu, Dipti Srinivasan, A.C. Liew, Rajesh Kumar, Parikshit Yadav, Sanjib Kumar Panda, Fan Yang, Dong Xu and Jizhong Zhu. Their work appears in journals such as Electric Power Systems Research, IEEE Transactions on Power Systems, IEEE Journal of Oceanic Engineering, IET Generation Transmission & Distribution and Information Sciences.

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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