Lang Sheng Yun

About

Lang Sheng Yun is a scholar working on Cognitive Neuroscience, Physiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lang Sheng Yun has authored 6 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 1 paper in Physiology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Lang Sheng Yun’s work include Memory and Neural Mechanisms (4 papers), Neural and Behavioral Psychology Studies (3 papers) and Memory Processes and Influences (2 papers). Lang Sheng Yun is often cited by papers focused on Memory and Neural Mechanisms (4 papers), Neural and Behavioral Psychology Studies (3 papers) and Memory Processes and Influences (2 papers). Lang Sheng Yun collaborates with scholars based in United States and New Zealand. Lang Sheng Yun's co-authors include Eric M. Reiman, Kewei Chen, Daniel Bandy, Stephen N. Thibodeau, David Osborne, Richard J. Caselli, Satoshi Minoshima, Daniel L. Schacter, Gary E. Schwartz and Richard J. Davidson and has published in prestigious journals such as Nature, New England Journal of Medicine and Neuron.

In The Last Decade

Co-authorship network of co-authors of Lang Sheng Yun i

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Fields of papers citing papers by Lang Sheng Yun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lang Sheng Yun. 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 Lang Sheng Yun. The network helps show where Lang Sheng Yun may publish in the future.

Countries citing papers authored by Lang Sheng Yun

Since Specialization

Citations

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