Yu-Che Chen
Government Information Quarterly · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Yu-Che Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yu-Che Chen's perspective
Ordered by how strongly the researchers Yu-Che Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- The Ethics of Artificial Intelligence
- THE ETHICS OF ARTIFICIAL INTELLIGENCE
- An Introduction to Machine Learning
- Methodologies for data quality assessment and improvement (CSUR)
- Cyber Physical Systems: Design Challenges (IEEE International Symposium on Real-Time Distributed Computing)
- Research Methods for Business: A Skill-Building Approach
- Recommendation of the Council on Artificial Intelligence (OECD)
- How and where is artificial intelligence in the public sector going? A literature review and research agenda (Government Information Quarterly)
- If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology (PLoS ONE)
- Artificial Intelligence and the Public Sector—Applications and Challenges (International Journal of Public Administration)