P. Zhang

803 citations
7 papers · 651 indexed · 1 hit paper · h-index 6
Topics
Power System Optimization and Stability (6 papers)Power System Reliability and Maintenance (3 papers)Electric Power System Optimization (2 papers)
Journals
IEEE Transactions on Power SystemsEnergiesIEEE Power Engineering Society General Meeting, 2005

In The Last Decade

P. Zhang

7 papers receiving 616 citations

Hit Papers

Probabilistic Load Flow Computation Using the Method of C...20042026201120182004100200300400500

Peers

P. Zhang
Comparison fields: 5 of 35
  • Electrical and Electronic Engineering 607
  • Safety, Risk, Reliability and Quality 315
  • Control and Systems Engineering 140
  • Statistics, Probability and Uncertainty 79
  • Energy Engineering and Power Technology 34
Replace R. C. Burchett with:
R. C. Burchett United States
J.C.O. Mello Brazil
G.L. Torres Brazil
G.D. Irisarri United States
Junji Kubokawa Japan
W. Li Canada
N.J. Balu United States
Magnus Perninge Sweden
Jianzhong Tong United States
Harsha Nagarajan United States
P. Zhang relative to R. C. Burchett United States R. C. Burchett's profile →
Citations per field
00.5×1.5×
R. C. Burchett · 1×
Citations per year

Countries citing papers authored by P. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by P. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Zhang

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 18
3 11
4 5
5 34
6 32
7
Probabilistic Load Flow Computation Using the Method of Combined Cumulants and Gram-Charlier Expansionbreakdown →
550

About P. Zhang

P. Zhang is a scholar working on Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 7 papers that have together received 651 indexed citations. Recurring topics across this work include Power System Optimization and Stability (6 papers), Power System Reliability and Maintenance (3 papers) and Electric Power System Optimization (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (315 citations), Statistics, Probability and Uncertainty (79 citations) and Energy Engineering and Power Technology (34 citations). P. Zhang has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Zhao Yang Dong, Jian Ma, Zhao Xu, Yong Tang, Robert Entriken, Y. Wang, Cao Guang-yi, Jun Wang, Chongyang Li and Yan Peng. Their work appears in journals such as IEEE Transactions on Power Systems, Energies and IEEE Power Engineering Society General Meeting, 2005.

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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