David Fan

About

David Fan is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Fan has authored 11 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Cognitive Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Fan’s work include Neurotransmitter Receptor Influence on Behavior (3 papers), Human Pose and Action Recognition (3 papers) and Multimodal Machine Learning Applications (2 papers). David Fan is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (3 papers), Human Pose and Action Recognition (3 papers) and Multimodal Machine Learning Applications (2 papers). David Fan collaborates with scholars based in United States, Grenada and Portugal. David Fan's co-authors include Henry H. Yin, Rui M. Costa, Xueyun Wang, Gia-Wei Chern, Cristian D. Batista, Shi‐Zeng Lin, Fei Fan, V. Kiryukhin, Brian Casas and Yoshitomo Kamiya and has published in prestigious journals such as PLoS ONE, Nature Physics and European Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of David Fan i

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Fields of papers citing papers by David Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Fan

Since Specialization

Citations

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