Ching-Hua Chen

22 papers receiving 211 citations

Peers

Ching-Hua Chen
Comparison fields: 5 of 74
  • Applied Psychology 49
  • Human-Computer Interaction 25
  • Experimental and Cognitive Psychology 54
  • Health Informatics 4
  • General Health Professions 45
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Louis Faust United States
Joseph Nuamah United States
Gonzalo J. Martinez United States
Yatharth Ranjan United Kingdom
Sina Labbaf United States
Ridwan Alam United States
Dina Utami Indonesia
Frank J. Blaauw Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Ching-Hua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Hua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202049
2 202047
3 201825
4 202122
5 201812
6 20178
7 20227
8 20177
9 20216
10 20194
11 20214
12 20194
13 20184
14 20233
15 20213
16 20173
17
FoodKG Enabled Q&A Application.
20192
18 20182
19
Enabling Trust in Clinical Decision Support Recommendations through Semantics.
20192
20 20251

About Ching-Hua Chen

Ching-Hua Chen is a scholar working on Applied Psychology, Public Health, Environmental and Occupational Health, Experimental and Cognitive Psychology, General Health Professions and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 218 indexed citations. Recurring topics across this work include Behavioral Health and Interventions (4 papers), Mobile Health and mHealth Applications (4 papers), Digital Mental Health Interventions (4 papers), Culinary Culture and Tourism (3 papers), Biomedical Text Mining and Ontologies (3 papers), Nutritional Studies and Diet (2 papers), Opioid Use Disorder Treatment (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). The work is most often cited by research in Applied Psychology (49 citations), Human-Computer Interaction (25 citations), Experimental and Cognitive Psychology (54 citations), Health Informatics (4 citations) and General Health Professions (45 citations). Ching-Hua Chen has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Varun Mishra, Jeffrey M. Rogers, Grace Chen, David Kotz, Sougata Sen, Hao Tian, Oshani Seneviratne, Jane Snowdon, Kimberly N. Walter and Marion J. Ball. Their work appears in journals such as Frontiers in Psychiatry, Journal of Behavioral Medicine, IEEE Journal of Biomedical and Health Informatics, IBM Journal of Research and Development and Journal of Biomedical Semantics.

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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