Min Chee Choy

743 total citations
9 papers, 546 citations indexed

About

Min Chee Choy is a scholar working on Control and Systems Engineering, Building and Construction and Transportation. According to data from OpenAlex, Min Chee Choy has authored 9 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 8 papers in Building and Construction and 7 papers in Transportation. Recurrent topics in Min Chee Choy's work include Traffic control and management (8 papers), Traffic Prediction and Management Techniques (8 papers) and Transportation Planning and Optimization (7 papers). Min Chee Choy is often cited by papers focused on Traffic control and management (8 papers), Traffic Prediction and Management Techniques (8 papers) and Transportation Planning and Optimization (7 papers). Min Chee Choy collaborates with scholars based in Singapore, Germany and United States. Min Chee Choy's co-authors include Dipti Srinivasan and Ruey Long Cheu and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Min Chee Choy

9 papers receiving 514 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Min Chee Choy Singapore	7	405	307	250	93	88	9	546
Monireh Abdoos Iran	9	326 0.8×	263 0.9×	192 0.8×	67 0.7×	119 1.4×	22	482
Fangce Guo United Kingdom	14	214 0.5×	343 1.1×	264 1.1×	54 0.6×	119 1.4×	31	520
Samah El-Tantawy Canada	11	616 1.5×	480 1.6×	370 1.5×	75 0.8×	184 2.1×	20	789
Airton G Kohls United States	4	325 0.8×	259 0.8×	186 0.7×	54 0.6×	102 1.2×	7	433
P B Hunt	3	605 1.5×	461 1.5×	451 1.8×	36 0.4×	130 1.5×	5	716
Aude Hofleitner United States	9	299 0.7×	521 1.7×	445 1.8×	60 0.6×	61 0.7×	20	670
Jordi Casas Spain	10	292 0.7×	224 0.7×	312 1.2×	25 0.3×	137 1.6×	44	486
Donald J Dailey United States	12	183 0.5×	371 1.2×	373 1.5×	75 0.8×	130 1.5×	34	619
Cathy Wu United States	12	539 1.3×	225 0.7×	219 0.9×	97 1.0×	412 4.7×	41	726
Toru Seo Japan	13	620 1.5×	555 1.8×	368 1.5×	73 0.8×	256 2.9×	41	858

Countries citing papers authored by Min Chee Choy

Since Specialization

Citations

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

Fields of papers citing papers by Min Chee Choy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Chee Choy. 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 Min Chee Choy. The network helps show where Min Chee Choy may publish in the future.

Co-authorship network of co-authors of Min Chee Choy

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

All Works

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9 of 9 papers shown

1.

Choy, Min Chee, Dipti Srinivasan, & Ruey Long Cheu. (2006). Neural Networks for Continuous Online Learning and Control. IEEE Transactions on Neural Networks. 17(6). 1511–1531. 44 indexed citations

2.

Srinivasan, Dipti, Min Chee Choy, & Ruey Long Cheu. (2006). Neural Networks for Real-Time Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems. 7(3). 261–272. 295 indexed citations

3.

Srinivasan, Dipti & Min Chee Choy. (2006). Cooperative multi-agent system for coordinated traffic signal control. National University of Singapore. 153(1). 41–41. 25 indexed citations

4.

Choy, Min Chee, Dipti Srinivasan, & Ruey Long Cheu. (2005). Simultaneous perturbation stochastic approximation based neural networks for online learning. 1038–1044. 12 indexed citations

5.

Choy, Min Chee, et al.. (2003). REAL-TIME COORDINATED SIGNAL CONTROL USING AGENTS WITH ONLINE REINFORCEMENT LEARNING. 13 indexed citations

6.

Choy, Min Chee, Dipti Srinivasan, & Ruey Long Cheu. (2003). Hybrid cooperative agents with online reinforcement learning for traffic control. 2. 1015–1020. 6 indexed citations

7.

Choy, Min Chee, Dipti Srinivasan, & Ruey Long Cheu. (2003). Cooperative, hybrid agent architecture for real-time traffic signal control. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 33(5). 597–607. 136 indexed citations

8.

Choy, Min Chee, et al.. (2003). Real-Time Coordinated Signal Control Through Use of Agents with Online Reinforcement Learning. Transportation Research Record Journal of the Transportation Research Board. 1836(1). 64–75. 14 indexed citations

9.

Choy, Min Chee. (1991). Implementing a computerized operating room management system.. PubMed. 2(2). 103–19. 1 indexed citations

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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