Jeff Cheng

449 citations
11 papers · 361 · h-index 9

Impact in

    • Neuroscience and Music Perception
    • Neural and Behavioral Psychology Studies
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Hearing Loss and Rehabilitation
    • Functional Brain Connectivity Studies
    • Multisensory perception and integration

Papers in

Jeff Cheng

11 papers receiving 355 citations

Peers

Jeff Cheng
Comparison fields: 5 of 44
  • Cognitive Neuroscience 338
  • Experimental and Cognitive Psychology 99
  • Developmental and Educational Psychology 53
  • Music 13
  • Sensory Systems 14
Replace Nikolai Novitski with:
Nikolai Novitski Finland
Jürg Kühnis Switzerland
Micha Pfeuty France
Marvin W. Sams United States
Grégory Collet Belgium
Delphine Dellacherie France
Lesly Fornoni France
Alexandra Muller-Gass Canada
Anita D’Anselmo Italy
Alexander Degerman Finland
Jeff Cheng relative to Nikolai Novitski Finland Nikolai Novitski's profile →
Citations per field
00.5×1.5×
Nikolai Novitski · 1×
Citations per year

Countries citing papers authored by Jeff Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Jeff Cheng, 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 Jeff Cheng Line = papers co-authored together Jeff Cheng links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1998135
2 199862
3 200158
4 200123
5 199920
6 199619
7 199816
8 200311
9 199710
10 19946
11 20011

About Jeff Cheng

Jeff Cheng is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Music and Speech and Hearing, having authored 11 papers that have together received 361 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Reading and Literacy Development (4 papers), Neuroscience and Music Perception (4 papers), Multisensory perception and integration (3 papers), Hearing Loss and Rehabilitation (2 papers), Neurobiology of Language and Bilingualism (2 papers), Neural dynamics and brain function (2 papers) and Language Development and Disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (338 citations), Experimental and Cognitive Psychology (99 citations), Developmental and Educational Psychology (53 citations), Music (13 citations) and Sensory Systems (14 citations). Jeff Cheng has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David Friedman, Monica Fabiani, Walter Ritter, Helen Gaeta, Drew M. Velting, Victoria A. Kazmerski, Paul M. Corballis, Gabriele Gratton, Mark W. Geisler and David S. Friedman. Their work appears in journals such as Psychophysiology, Psychology and Aging, Journal of Clinical and Experimental Neuropsychology, Neurobiology of Aging and Neuroreport.

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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