Zixiao Ma

21 papers receiving 339 citations

Peers

Zixiao Ma
Comparison fields: 5 of 39
  • Control and Systems Engineering 250
  • Electrical and Electronic Engineering 219
  • Computer Networks and Communications 34
  • Artificial Intelligence 28
  • Energy Engineering and Power Technology 23
Replace Amritanshu Pandey with:
Amritanshu Pandey United States
M.A.M. Ariff Malaysia
Tianqiao Zhao United States
Tatiane C. C. Fernandes Brazil
Edson L. Geraldi Brazil
Styliani Sarri Switzerland
Seán Norris United Kingdom
Younes J. Isbeih United Arab Emirates
M. R. Aghamohammadi Iran
Junjun Xu China
Zixiao Ma relative to Amritanshu Pandey United States Amritanshu Pandey's profile →
Citations per field
00.5×1.5×1.9×
Amritanshu Pandey · 1×
Citations per year

Countries citing papers authored by Zixiao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zixiao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zixiao Ma

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 10
4 2
5 4
6 14
7 3
8 59
9 11
10 21
11 32
12 4
13 41
14
Secondary voltage control for microgrids using nonlinear multiple models adaptive control with unmodeled dynamics
1
15 25
16 4
17 8
18 1
19
Neural network based adaptive internal model control for nonlinear plants
0
20 44

About Zixiao Ma

Zixiao Ma is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Electrical and Electronic Engineering, having authored 24 papers that have together received 348 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (7 papers), Microgrid Control and Optimization (7 papers) and Smart Grid Energy Management (6 papers). The work is most often cited by research in Control and Systems Engineering (250 citations), Energy Engineering and Power Technology (23 citations) and Electrical and Electronic Engineering (219 citations). Zixiao Ma has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zhaoyu Wang, Qianzhi Zhang, Quanmin Zhu, Yuxuan Yuan, Kevin Warwick, Yongli Zhu, Jun Fu, Fankun Bu, Di Shi and Ruisheng Diao. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and PLoS Computational Biology.

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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