Yuan‐Chi Yang

875 citations
28 papers · 487 · h-index 12

Impact in

Papers in

Yuan‐Chi Yang

27 papers receiving 473 citations

Peers

Yuan‐Chi Yang
Comparison fields: 5 of 78
  • Health Informatics 14
  • Artificial Intelligence 200
  • Atomic and Molecular Physics, and Optics 128
  • Health 30
  • Modeling and Simulation 14
Replace Xinyu Zhou with:
Xinyu Zhou China
Anqi Huang China
Kaifeng Liu China
Vivek Krishnamurthy United States
Mohammad A. Tashtoush Oman
Yanqing Lin Finland
Katarina Braune Germany
Martin Götz Switzerland
Jisan Lee South Korea
Marc Dupuis United States
Yuan‐Chi Yang relative to Xinyu Zhou China Xinyu Zhou's profile →
Citations per field
00.5×10×13×
Xinyu Zhou · 1×
Citations per year

Countries citing papers authored by Yuan‐Chi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Chi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Chi Yang. 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 Yuan‐Chi Yang. The network helps show where Yuan‐Chi Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202094
2 202158
3 201757
4
Effects of User and System Characteristics on Perceived Usefulness and Perceived Ease of Use of the Web-Based Classroom Response System
201235
5 201935
6 202225
7 202220
8 202118
9 201718
10 201915
11 202114
12 202211
13 202210
14 202210
15 202010
16 20208
17 20208
18 20237
19 20236
20 20216

About Yuan‐Chi Yang

Yuan‐Chi Yang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Health, Sociology and Political Science and Molecular Biology, having authored 28 papers that have together received 487 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Quantum Information and Cryptography (6 papers), Quantum and electron transport phenomena (6 papers), Semiconductor Quantum Structures and Devices (4 papers), Misinformation and Its Impacts (4 papers), Biomedical Text Mining and Ontologies (4 papers), Mental Health via Writing (3 papers) and Intimate Partner and Family Violence (3 papers). The work is most often cited by research in Health Informatics (14 citations), Artificial Intelligence (200 citations), Atomic and Molecular Physics, and Optics (128 citations), Health (30 citations) and Modeling and Simulation (14 citations). Yuan‐Chi Yang has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Abeed Sarker, Mohammed Ali Al-Garadi, Mark Friesen, S. N. Coppersmith, Sahithi Lakamana, Angel Xie, Jeanmarie Perrone, Karen O’Connor, Graciela Gonzalez‐Hernandez and Yuting Guo. Their work appears in journals such as Physical review. A, npj Quantum Information, Journal of the American Medical Informatics Association, Journal of Medical Internet Research and BMC Medical Informatics and Decision Making.

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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