Carmen Ng

17 papers receiving 164 citations

Peers

Carmen Ng
Comparison fields: 5 of 65
  • Psychiatry and Mental health 45
  • Neuropsychology and Physiological Psychology 4
  • Rehabilitation 18
  • Clinical Psychology 55
  • Cognitive Neuroscience 40
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Laurel Young Australia
Grzegorz Żurek Poland
Katarzyna Urbańska Poland
Maia Feigon United States
Melissa Silverman United States
Amichai Brezner Israel
Hidetsugu Kobayashi Japan
Juliana Tosetto Santin Brazil
Agnieszka Żelaźniewicz Poland
Dominika Wilczyńska Poland
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Citations per field
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Citations per year

Countries citing papers authored by Carmen Ng

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 201927
3 201720
4 202216
5 202114
6 201413
7 201613
8 201611
9 20205
10 20093
11 20153
12 20023
13
The Perceived School Climate in Invitational Schools in Hong Kong: Using the Chinese Version of the Inviting School Survey-Revised (ISS-R).
20112
14 20022
15 20222
16
The Mutha Rubboard Contoller: Interactive Heritage.
20021
17 20151
18 20191
19 20170
20 20240

About Carmen Ng

Carmen Ng is a scholar working on General Health Professions, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Epidemiology and Psychiatry and Mental health, having authored 21 papers that have together received 171 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Autism Spectrum Disorder Research (2 papers), Music Technology and Sound Studies (2 papers), Dementia and Cognitive Impairment Research (2 papers), Music and Audio Processing (2 papers), Microscopic Colitis (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Psychiatry and Mental health (45 citations), Neuropsychology and Physiological Psychology (4 citations), Rehabilitation (18 citations), Clinical Psychology (55 citations) and Cognitive Neuroscience (40 citations). Carmen Ng has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Gloria Hoi Yan Wong, Chi‐Wen Chien, Gladys L.Y. Cheing, Rachel Lai‐Chu Kwan, Kevin Yu, Dara Kiu Yi Leung, Clara Lee, David Dai, Terry Yat Sang Lum and Stefania Serafin. Their work appears in journals such as International Journal of Environmental Research and Public Health, British Journal of Haematology, Journal of the American Geriatrics Society, Gastrointestinal Endoscopy and BMC Neurology.

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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