Annie Chen

92 papers receiving 1.4k citations

Peers

Annie Chen
Comparison fields: 5 of 160
  • Applied Psychology 99
  • General Dentistry 30
  • Health 112
  • Neuropsychology and Physiological Psychology 18
  • Communication 74
Replace Boaz Shulruf with:
Boaz Shulruf Australia
Anthony J Levinson Canada
Diane J. Skiba United States
Anne M. Turner United States
Uno Fors Sweden
Yi‐Chia Wang Taiwan
Estelle Michinov France
Lorie Donelle Canada
Jimmie Leppink Netherlands
Annie Chen relative to Boaz Shulruf Australia Boaz Shulruf's profile →
Citations per field
00.5×
Boaz Shulruf · 1×
Citations per year

Countries citing papers authored by Annie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Annie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017153
2 2015115
3 202097
4 201190
5 201564
6 202150
7 202042
8 201942
9 202239
10 202338
11 200532
12 201230
13 201629
14 202127
15 200826
16 201226
17 201825
18 200922
19 201522
20 201720

About Annie Chen

Annie Chen is a scholar working on Sociology and Political Science, General Health Professions, Artificial Intelligence, Information Systems and Genetics, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (7 papers), BRCA gene mutations in cancer (6 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), Information Retrieval and Search Behavior (5 papers), Smoking Behavior and Cessation (4 papers), Health Literacy and Information Accessibility (4 papers), Focus Groups and Qualitative Methods (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Applied Psychology (99 citations), General Dentistry (30 citations), Health (112 citations), Neuropsychology and Physiological Psychology (18 citations) and Communication (74 citations). Annie Chen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Mike Conway, Albert Park, Shu‐Hong Zhu, Oleg Zaslavsky, Andrew K. Teng, Frances Chu, Paul K. J. Han, Delesha M. Carpenter, Nathan F. Dieckmann and Rebekah H. Nagler. Their work appears in journals such as Journal of Medical Internet Research, Proceedings of the American Society for Information Science and Technology, Journal of Biomedical Informatics, Langmuir and Biofouling.

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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