Ron Sun

6.2k citations
122 papers · 3.0k indexed · h-index 28

Ron Sun

119 papers receiving 2.7k citations

Peers

Ron Sun
Comparison fields: 5 of 152
  • General Decision Sciences 104
  • Artificial Intelligence 1.6k
  • Cognitive Neuroscience 898
  • Developmental and Educational Psychology 455
  • Experimental and Cognitive Psychology 404
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Citations per year

Countries citing papers authored by Ron Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ron Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron Sun. 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 Ron Sun. The network helps show where Ron Sun may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ron Sun, 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 Ron Sun Line = papers co-authored together Ron Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2
Using a Hybrid Cognitive Architecture to Model Children’s Errors in an Analogy Task
20143
3
Coping with Bullying: A Computational Emotion-Theoretic Account
20144
4
Modeling Mathematical Actiotopes: The Potential Role of CLARION
20091
5 200917
6 200723
7 200639
8 200631
9
Computational Models of Inductive Reasoning and Their Psychological Examination: Towards an Induction-Based Search-Engine
20051
10
A multi-agent system integrating reinforcement learning, bidding and genetic algorithms
20035
11 20021
12 2001211
13 20012
14
GA-based multi-agent reinforcement learning for playing backgammon
20011
15
The Interaction of Explicit and Implicit Learning: An Integrated Model
200111
16
Automatic Partitioning for Multi-Agent Reinforcement Learning
19981
17 199811
18
A microfeature based approach towards metaphor interpretation
19958
19 1995142
20 19932

About Ron Sun

Ron Sun is a scholar working on Artificial Intelligence, General Decision Sciences, Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 122 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cognitive Science and Mapping (35 papers), Child and Animal Learning Development (19 papers), AI-based Problem Solving and Planning (16 papers), Neural Networks and Applications (14 papers), Cognitive Science and Education Research (10 papers), Logic, Reasoning, and Knowledge (9 papers), Reinforcement Learning in Robotics (9 papers) and Language and cultural evolution (9 papers). The work is most often cited by research in General Decision Sciences (104 citations), Artificial Intelligence (1.6k citations), Cognitive Neuroscience (898 citations), Developmental and Educational Psychology (455 citations) and Experimental and Cognitive Psychology (404 citations). Ron Sun has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Sébastien Hélie, Todd Peterson, Edward C. Merrill, Stefan Wermter, Robert C. Mathews, Xi Zhang, Antony Browne, C. Lee Giles, Nick Wilson and Xi Zhang. Their work appears in journals such as Cognitive Systems Research, Philosophical Psychology, Cognitive Computation, Neural Networks and Cognitive Science.

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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