Kai-ching Chu

1.3k citations
17 papers · 860 indexed · h-index 10
Topics
Guidance and Control Systems (4 papers)Target Tracking and Data Fusion in Sensor Networks (4 papers)Optimization and Variational Analysis (2 papers)
Partner nations
United StatesIran

In The Last Decade

Kai-ching Chu

17 papers receiving 784 citations

Peers

Kai-ching Chu
Comparison fields: 5 of 74
  • Control and Systems Engineering 375
  • Computer Networks and Communications 222
  • Artificial Intelligence 184
  • Management Science and Operations Research 139
  • Electrical and Electronic Engineering 117
Replace И. Н. Коваленко with:
И. Н. Коваленко Ukraine
Decision Systems.
James E. Ward United States
Loren K. Platzman United States
László Gerencsér Hungary
Rami Atar Israel
R.Y. Rubinstein Israel
Hugh Williams United Kingdom
B. W. Conolly United Kingdom
L. A. Prashanth India
Kai-ching Chu relative to И. Н. Коваленко Ukraine И. Н. Коваленко's profile →
Citations per field
00.5×4.9×
И. Н. Коваленко · 1×
Citations per year

Countries citing papers authored by Kai-ching Chu

Since Specialization
Citations

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

Fields of papers citing papers by Kai-ching Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-ching Chu. 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 Kai-ching Chu. The network helps show where Kai-ching Chu may publish in the future.

Co-authorship network of co-authors of Kai-ching Chu

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2 2
3 30
4 5
5 1
6 2
7
Decentralized Regulation of Dynamic Systems
1
8 5
9 121
10 18
11 109
12 402
13 11
14 32
15 59
16 26
17 31

About Kai-ching Chu

Kai-ching Chu is a scholar working on Automotive Engineering, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, having authored 17 papers that have together received 860 indexed citations. Recurring topics across this work include Guidance and Control Systems (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Optimization and Variational Analysis (2 papers). The work is most often cited by research in Control and Systems Engineering (375 citations), Management Science and Operations Research (139 citations) and Statistics and Probability (87 citations). Kai-ching Chu has collaborated with scholars based in United States and Iran. Frequent co-authors include Yu‐Chi Ho, Mohammad Jamshidi, Richard E. Levitan, Carmen Wong and P. Sarachik. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and SIAM Review.

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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