Kai-ching Chu

1.3k citations
18 papers · 941 · h-index 10

Impact in

Papers in

Kai-ching Chu

18 papers receiving 857 citations

Peers

Kai-ching Chu
Comparison fields: 5 of 76
  • Control and Systems Engineering 405
  • Management Science and Operations Research 153
  • Statistics and Probability 97
  • Computer Networks and Communications 240
  • Transportation 67
Replace И. Н. Коваленко with:
И. Н. Коваленко Ukraine
Decision Systems.
László Gerencsér Hungary
Loren K. Platzman United States
Rami Atar Israel
R.Y. Rubinstein Israel
Bernd Heidergott Netherlands
R. Syski United States
A. J. Goldman United States
Carlo Filippi Italy
Kai-ching Chu relative to И. Н. Коваленко Ukraine И. Н. Коваленко's profile →
Citations per field
00.5×5.1×
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-authors

The 5 scholars most cited alongside Kai-ching Chu, 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 Kai-ching Chu Line = papers co-authored together Kai-ching Chu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1972448
2 1974126
3 1973117
4 197160
5 197238
6 197033
7 197731
8 197127
9 197420
10 197211
11 19757
12 19765
13 19905
14 19775
15 19782
16 19762
17 19762
18
Decentralized Regulation of Dynamic Systems
19752

About Kai-ching Chu

Kai-ching Chu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Automotive Engineering and Aerospace Engineering, having authored 18 papers that have together received 941 indexed citations. Recurring topics across this work include Guidance and Control Systems (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Vehicle emissions and performance (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Optimization and Variational Analysis (2 papers), Traffic control and management (2 papers), Distributed Sensor Networks and Detection Algorithms (2 papers) and Stability and Control of Uncertain Systems (1 paper). The work is most often cited by research in Control and Systems Engineering (405 citations), Management Science and Operations Research (153 citations), Statistics and Probability (97 citations), Computer Networks and Communications (240 citations) and Transportation (67 citations). Kai-ching Chu has collaborated with scholars based in United States and Iran. Frequent co-authors include Yu‐Chi Ho, Richard E. Levitan, Mohammad Jamshidi, P. Sarachik and Carmen Wong. Their work appears in journals such as IEEE Transactions on Automatic Control, Transportation Science, Computers & Graphics, SIAM Review and Automatica.

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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