Charley M. Wu

23 papers and 409 indexed citations i.

About

Charley M. Wu is a scholar working on Artificial Intelligence, Cognitive Neuroscience and General Decision Sciences. According to data from OpenAlex, Charley M. Wu has authored 23 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 6 papers in General Decision Sciences. Recurrent topics in Charley M. Wu’s work include Decision-Making and Behavioral Economics (6 papers), Child and Animal Learning Development (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Charley M. Wu is often cited by papers focused on Decision-Making and Behavioral Economics (6 papers), Child and Animal Learning Development (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Charley M. Wu collaborates with scholars based in Germany, United States and United Kingdom. Charley M. Wu's co-authors include Eric Schulz, Björn Meder, Azzurra Ruggeri, Maarten Speekenbrink, Jonathan D. Nelson, Timothy J. Pleskac, Simon Ciranka, Flavia Filimon, Nicolas W. Schuck and Mona M. Garvert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Charley M. Wu i

Fields of papers citing papers by Charley M. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charley M. Wu. 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 Charley M. Wu. The network helps show where Charley M. Wu may publish in the future.

Countries citing papers authored by Charley M. Wu

Since Specialization
Citations

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

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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