Kate Wang

53 papers receiving 1.1k citations

Peers

Kate Wang
Comparison fields: 5 of 125
  • Geriatrics and Gerontology 132
  • Health Informatics 23
  • Health Information Management 70
  • Urology 52
  • Health, Toxicology and Mutagenesis 124
Replace Zhiyuan Wu with:
Zhiyuan Wu China
R.L. Kennedy United Kingdom
Alexander Horsch Norway
Jenny Tran Australia
Kuo‐Chuan Hung Taiwan
Zhaoyi Chen United States
Vignesh Subbian United States
Fabián Güiza Belgium
Michael Maddens United States
Susan C. Hu Taiwan
Kate Wang relative to Zhiyuan Wu China Zhiyuan Wu's profile →
Citations per field
00.5×10×13×
Zhiyuan Wu · 1×
Citations per year

Countries citing papers authored by Kate Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kate Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010149
2 202185
3 202184
4 201867
5 200761
6 201960
7 202257
8 202256
9 202354
10 202252
11 201851
12 201640
13 202229
14 201225
15 202317
16 202316
17 201915
18 202415
19 202113
20 202211

About Kate Wang

Kate Wang is a scholar working on Geriatrics and Gerontology, Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Pharmaceutical Practices and Patient Outcomes (10 papers), ECG Monitoring and Analysis (6 papers), Privacy-Preserving Technologies in Data (4 papers), COVID-19 diagnosis using AI (4 papers), Retinal Imaging and Analysis (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Geriatrics and Gerontology (132 citations), Health Informatics (23 citations), Health Information Management (70 citations), Urology (52 citations) and Health, Toxicology and Mutagenesis (124 citations). Kate Wang has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Hua Wang, Yanchun Zhang, Siuly Siuly, Khandakar Ahmed, Rubina Sarki, Md. Nurul Ahad Tawhid, J. Simon Bell, Roel P. F. Schins, Miriam E. Gerlofs-Nijland and Frank Whittaker. Their work appears in journals such as Australasian Journal on Ageing, PLoS ONE, Journal of Dentistry, Journal of the American Medical Directors Association and Journal of Pharmacy Practice and Research.

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.

Explore authors with similar magnitude of impact