Mo–Yuen Chow

324 papers receiving 13.7k citations

Hit Papers

Networked Control System: Overview and Research Trends200020262008201720092003201320152011250500750

Peers

Mo–Yuen Chow
Comparison fields: 5 of 162
  • Control and Systems Engineering 8.4k
  • Electrical and Electronic Engineering 8.0k
  • Automotive Engineering 3.3k
  • Computer Networks and Communications 2.9k
  • Artificial Intelligence 1.2k
Replace Ganesh K. Venayagamoorthy with:
Ganesh K. Venayagamoorthy United States
Carlo Cecati Italy
Alberto Bemporad Italy
Lingfeng Wang United States
Osama A. Mohammed United States
Xiaohong Guan China
Francesco Borrelli United States
Le Yi Wang United States
Junhua Zhao China
Abdullah Abusorrah Saudi Arabia
Mo–Yuen Chow relative to Ganesh K. Venayagamoorthy United States Ganesh K. Venayagamoorthy's profile →
Citations per field
00.5×1.5×1.9×
Ganesh K. Venayagamoorthy · 1×
Citations per year

Countries citing papers authored by Mo–Yuen Chow

Since Specialization
Citations

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

Fields of papers citing papers by Mo–Yuen Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mo–Yuen Chow. 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 Mo–Yuen Chow. The network helps show where Mo–Yuen Chow may publish in the future.

Co-authorship network of co-authors of Mo–Yuen Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Mo–Yuen Chow. A scholar is included among the top collaborators of Mo–Yuen Chow 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 Mo–Yuen Chow. Mo–Yuen Chow 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 0
3 3
4 2
5
Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Reviewbreakdown →
63
6 59
7
A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAMbreakdown →
119
8 16
9 26
10 28
11 34
12 39
13 17
14 172
15 54
16 54
17 4
18 79
19 114
20 5

About Mo–Yuen Chow

Mo–Yuen Chow is a scholar working on Control and Systems Engineering, Automotive Engineering and Computer Networks and Communications, having authored 339 papers that have together received 14.4k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (55 papers), Microgrid Control and Optimization (52 papers) and Smart Grid Energy Management (49 papers). The work is most often cited by research in Control and Systems Engineering (8.4k citations), Automotive Engineering (3.3k citations) and Electrical and Electronic Engineering (8.0k citations). Mo–Yuen Chow has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Y. Tipsuwan, Habiballah Rahimi-Eichi, Wencong Su, Rachana Ashok Gupta, Ziang Zhang, Wente Zeng, Federico Baronti, Zaiyue Yang, Ruilong Deng and Jiming Chen. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Transactions on Industrial Electronics.

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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