Winnie Chung

1.3k citations
30 papers · 843 · h-index 13

Impact in

Papers in

Winnie Chung

28 papers receiving 808 citations

Peers

Winnie Chung
Comparison fields: 5 of 84
  • Sensory Systems 136
  • Developmental and Educational Psychology 132
  • Cognitive Neuroscience 167
  • Epidemiology 237
  • Pediatrics, Perinatology and Child Health 128
Replace Zeffie Poulakis with:
Zeffie Poulakis Australia
Sarah Worsfold United Kingdom
Claire Penn South Africa
Brigitte Eisenwort Austria
Katijah Khoza‐Shangase South Africa
George Vamvakas United Kingdom
James Coplan United States
Alison Purcell Australia
Jennifer L. Dunbar United States
Judy Caldwell South Africa
Winnie Chung relative to Zeffie Poulakis Australia Zeffie Poulakis's profile →
Citations per field
00.5×3.8×
Zeffie Poulakis · 1×
Citations per year

Countries citing papers authored by Winnie Chung

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017183
2 2017145
3 2010115
4 201699
5 201770
6 202051
7 200725
8 201825
9 201820
10 201816
11 202315
12 201914
13 201712
14 202112
15 201710
16 20104
17 20104
18 20184
19 20223
20
Evaluating Usability of New Zealand E-Tailing Sites
20013

About Winnie Chung

Winnie Chung is a scholar working on Epidemiology, Clinical Psychology, Cognitive Neuroscience, Sensory Systems and Demography, having authored 30 papers that have together received 843 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (7 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Pediatric Pain Management Techniques (2 papers), Toxoplasma gondii Research Studies (2 papers), Technology Use by Older Adults (2 papers), Autism Spectrum Disorder Research (2 papers) and Retirement, Disability, and Employment (2 papers). The work is most often cited by research in Sensory Systems (136 citations), Developmental and Educational Psychology (132 citations), Cognitive Neuroscience (167 citations), Epidemiology (237 citations) and Pediatrics, Perinatology and Child Health (128 citations). Winnie Chung has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Christine Yoshinaga‐Itano, Allison L. Sedey, Mallene Wiggin, Tracy G. Cassels, Sherilynn F. Chan, Tatiana M. Lanzieri, Gail J. Demmler‐Harrison, A. Chantal Caviness, Michelle A. Fortier and Leonard S. Sender. Their work appears in journals such as PEDIATRICS, Otolaryngology, Ear and Hearing, Journal of the Association for Information Systems and Computers in Biology and Medicine.

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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