Juin-Kuan Chong

2.9k total citations · 1 hit paper
23 papers, 1.6k citations indexed

About

Juin-Kuan Chong is a scholar working on Management Science and Operations Research, Safety Research and Marketing. According to data from OpenAlex, Juin-Kuan Chong has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 11 papers in Safety Research and 5 papers in Marketing. Recurrent topics in Juin-Kuan Chong's work include Game Theory and Applications (11 papers), Experimental Behavioral Economics Studies (11 papers) and Decision-Making and Behavioral Economics (5 papers). Juin-Kuan Chong is often cited by papers focused on Game Theory and Applications (11 papers), Experimental Behavioral Economics Studies (11 papers) and Decision-Making and Behavioral Economics (5 papers). Juin-Kuan Chong collaborates with scholars based in Singapore, United States and United Kingdom. Juin-Kuan Chong's co-authors include Teck‐Hua Ho, Colin F. Camerer, Christopher S. Tang, Colin Camerer, Xiaoyu Xia, Dacheng Chen, Xin Qin, Puneet Manchanda, Christopher M. Barnes and Jialiang Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Economic Review and The Quarterly Journal of Economics.

In The Last Decade

Juin-Kuan Chong

21 papers receiving 1.5k citations

Hit Papers

A Cognitive Hierarchy Model of Games 2004 2026 2011 2018 2004 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Cognitive Hierarchy Model of Games
    2004 961 citations Colin F. Camerer, Teck‐Hua Ho et al. The Quarterly Journal of Economics profile →

Peers

Juin-Kuan Chong
Darryl A. Seale United States
Martijn C. Willemsen Netherlands
Ganna Pogrebna United Kingdom
Don N. Kleinmuntz United States
Mari‐Klara Stein Denmark
Tracy Xiao Liu China
Nir Vulkan United Kingdom
Arnaud De Bruyn France
Martin Adam Germany
Ella Glikson Israel
Darryl A. Seale United States
Juin-Kuan Chong
Citations per year, relative to Juin-Kuan Chong Juin-Kuan Chong (= 1×) peers Darryl A. Seale

Countries citing papers authored by Juin-Kuan Chong

Since Specialization
Citations

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

Fields of papers citing papers by Juin-Kuan Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juin-Kuan Chong. 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 Juin-Kuan Chong. The network helps show where Juin-Kuan Chong may publish in the future.

Co-authorship network of co-authors of Juin-Kuan Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Juin-Kuan Chong. A scholar is included among the top collaborators of Juin-Kuan Chong 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 Juin-Kuan Chong. Juin-Kuan Chong 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
1.
Manchanda, Puneet, et al.. (2021). Identification and Estimation of Endogenous Peer Effects Using Partial Network Data from Multiple Reference Groups. Management Science. 67(8). 5070–5105. 2 indexed citations
2.
Xia, Xiaoyu & Juin-Kuan Chong. (2021). No Magic for Market Entry in the Field: Evidence from Taxi Markets. Management Science. 68(6). 4670–4684. 1 indexed citations
3.
Yam, Kai Chi, et al.. (2020). Association of high profile football matches in Europe with traffic accidents in Asia: archival study. BMJ. 371. m4465–m4465. 3 indexed citations
4.
Ho, Teck‐Hua, Juin-Kuan Chong, & Xiaoyu Xia. (2017). Yellow taxis have fewer accidents than blue taxis because yellow is more visible than blue. Proceedings of the National Academy of Sciences. 114(12). 3074–3078. 8 indexed citations
5.
Chen, Dacheng, Jialiang Li, & Juin-Kuan Chong. (2017). Hazards regression for freemium products and services: a competing risks approach. Journal of Statistical Computation and Simulation. 87(9). 1863–1876. 4 indexed citations
6.
Chong, Juin-Kuan, Teck‐Hua Ho, & Colin F. Camerer. (2016). A generalized cognitive hierarchy model of games. Games and Economic Behavior. 99. 257–274. 31 indexed citations
7.
Camerer, Colin F., Teck‐Hua Ho, & Juin-Kuan Chong. (2015). A psychological approach to strategic thinking in games. Current Opinion in Behavioral Sciences. 3. 157–162. 25 indexed citations
8.
Ho, Teck‐Hua, Colin F. Camerer, & Juin-Kuan Chong. (2006). Self-tuning experience weighted attraction learning in games. Journal of Economic Theory. 133(1). 177–198. 124 indexed citations
9.
Camerer, Colin F., Teck‐Hua Ho, & Juin-Kuan Chong. (2004). Behavioural Game Theory: Thinking, Learning and Teaching. CaltechAUTHORS (California Institute of Technology). 120–180. 7 indexed citations
10.
Ho, Teck‐Hua, Colin F. Camerer, & Juin-Kuan Chong. (2004). The Economics of Learning Models: A Self-tuning Theory of Learning in Games. CaltechAUTHORS (California Institute of Technology). 3 indexed citations
11.
Camerer, Colin F., Teck‐Hua Ho, & Juin-Kuan Chong. (2004). A Cognitive Hierarchy Model of Games. The Quarterly Journal of Economics. 119(3). 861–898. 961 indexed citations breakdown →
12.
Ho, Teck‐Hua & Juin-Kuan Chong. (2003). A Parsimonious Model of Stockkeeping-Unit Choice. Journal of Marketing Research. 40(3). 351–365. 42 indexed citations
13.
Camerer, Colin F., Teck‐Hua Ho, & Juin-Kuan Chong. (2003). A Cognitive Hierarchy Theory of One-shot Games and Experimental Analysis. SSRN Electronic Journal. 10 indexed citations
14.
Camerer, Colin F., Teck‐Hua Ho, & Juin-Kuan Chong. (2003). Models of Thinking, Learning, and Teaching in Games. American Economic Review. 93(2). 192–195. 69 indexed citations
15.
Camerer, Colin F., Teck‐Hua Ho, & Juin-Kuan Chong. (2002). A cognitive hierarchy theory of one-shot games: Some preliminary results. CaltechAUTHORS (California Institute of Technology). 21 indexed citations
16.
Camerer, Colin F., Teck‐Hua Ho, Juin-Kuan Chong, & Keith Weigelt. (2002). Strategic Teaching and Equilibrium Models of Repeated Trust and Entry Games. CaltechAUTHORS (California Institute of Technology). 5 indexed citations
17.
Camerer, Colin, Teck‐Hua Ho, & Juin-Kuan Chong. (2002). Behavioral Game Theory: Thinking, Learning and Teaching. SSRN Electronic Journal. 20 indexed citations
18.
Chong, Juin-Kuan, Teck‐Hua Ho, & Christopher S. Tang. (2001). A Modeling Framework for Category Assortment Planning. Manufacturing & Service Operations Management. 3(3). 191–210. 66 indexed citations
19.
Ho, Teck‐Hua, Juin-Kuan Chong, Andrew Ainslie, et al.. (1999). A Parsimonious Model of SKU Choice: Familiarity-based Reinforcement and Response Sensitivity. 1 indexed citations
20.
George, John A., et al.. (1995). Confidentiality control of tabulated data: Some practical network models. European Journal of Operational Research. 85(3). 454–472. 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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