Chieh‐Yu Chen

686 citations
39 papers · 504 · h-index 11

Impact in

Papers in

Chieh‐Yu Chen

37 papers receiving 490 citations

Peers

Chieh‐Yu Chen
Comparison fields: 5 of 63
  • Infectious Diseases 57
  • Parasitology 17
  • Clinical Psychology 40
  • Human-Computer Interaction 11
  • Computer Vision and Pattern Recognition 42
Replace Kyaw Myo Tun with:
Kyaw Myo Tun Myanmar
Wei‐Wen Hsu United States
Mesfin Esayas Lelisho Ethiopia
Eman Thabet Khalid Iraq
Hualin Jiang China
Young Joon Park South Korea
Yusuf İslam BOLAT Türkiye
Yuanfang Chen China
Sarker Mohammad Nasrullah Bangladesh
Chieh‐Yu Chen relative to Kyaw Myo Tun Myanmar Kyaw Myo Tun's profile →
Citations per field
00.5×2×4×5.7×
Kyaw Myo Tun · 1×
Citations per year

Countries citing papers authored by Chieh‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chieh‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003121
2 200689
3 201750
4 202221
5 201917
6 201715
7 201814
8 201513
9 201613
10 201813
11 201913
12 201111
13 201710
14 202110
15 20199
16 20178
17 20198
18 20218
19 20187
20 20197

About Chieh‐Yu Chen

Chieh‐Yu Chen is a scholar working on Clinical Psychology, Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 504 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (3 papers), Psychometric Methodologies and Testing (3 papers), Early Childhood Education and Development (2 papers), Fault Detection and Control Systems (2 papers), Photodynamic Therapy Research Studies (2 papers), Family and Disability Support Research (1 paper), Speech Recognition and Synthesis (1 paper) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Infectious Diseases (57 citations), Parasitology (17 citations), Clinical Psychology (40 citations), Human-Computer Interaction (11 citations) and Computer Vision and Pattern Recognition (42 citations). Chieh‐Yu Chen has collaborated with scholars based in Taiwan, United States and Brazil. Frequent co-authors include Jane Squires, Huichao Xie, Lawrence L. Fleckenstein, Monette M Cotreau, Ullrich S. Schwertschlag, John L. Ryan, Chia‐Hui Chen, Jane Yung-jen Hsu, Keng-hao Chang and Polly Huang. Their work appears in journals such as Journal of Child and Family Studies, Journal of Early Intervention, Nanomaterials, IEEE Transactions on Semiconductor Manufacturing and Current Molecular 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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