Ming Chi

498 citations
39 papers · 357 · h-index 12

Impact in

Papers in

Ming Chi

36 papers receiving 352 citations

Peers

Ming Chi
Comparison fields: 5 of 39
  • Computer Networks and Communications 138
  • Control and Systems Engineering 99
  • Statistical and Nonlinear Physics 21
  • Electrical and Electronic Engineering 73
  • Modeling and Simulation 3
Replace Zhilong He with:
Zhilong He China
Hongyong Yang China
Xuetao Yang China
Lingling Zhang China
Kui Ding China
Afshin Mesbahi United States
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Citations per field
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Citations per year

Countries citing papers authored by Ming Chi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201935
2 201727
3 201825
4 201624
5 201622
6 202322
7 201620
8 202420
9 202419
10 201617
11 201914
12 201913
13 202211
14 201410
15 20219
16 20178
17 20248
18 20177
19 20145
20 20165

About Ming Chi

Ming Chi is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 39 papers that have together received 357 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (17 papers), Stability and Control of Uncertain Systems (6 papers), Smart Grid Energy Management (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Electric Power System Optimization (3 papers), Microgrid Control and Optimization (3 papers), Neural Networks Stability and Synchronization (2 papers) and Optimal Power Flow Distribution (2 papers). The work is most often cited by research in Computer Networks and Communications (138 citations), Control and Systems Engineering (99 citations), Statistical and Nonlinear Physics (21 citations), Electrical and Electronic Engineering (73 citations) and Modeling and Simulation (3 citations). Ming Chi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhi-Wei Liu, Zhi‐Hong Guan, Xiaowei Jiang, Chao-Yang Chen, Xiangyong Chen, Ming‐Feng Ge, Dingxin He, Jie Chen, Chao Yang and Dongguo Zhou. Their work appears in journals such as Journal of the Franklin Institute, International Journal of Electrical Power & Energy Systems, Information Sciences, Complexity and Neurocomputing.

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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