Yiyu Qiu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 10%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Topics
- Electronic Health Records Systems (2 papers)Technology Adoption and User Behaviour (1 paper)Information Retrieval and Data Mining (1 paper)
- Journals
- SHILAP Revista de lepidopterología2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)PubMed
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Yiyu Qiu
4 papers receiving 482 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 263
- Computer Vision and Pattern Recognition 259
- Media Technology 33
- Aerospace Engineering 33
- Electrical and Electronic Engineering 27
Countries citing papers authored by Yiyu Qiu
This map shows the geographic impact of Yiyu Qiu'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 Yiyu Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiyu Qiu more than expected).
Fields of papers citing papers by Yiyu Qiu
This network shows the impact of papers produced by Yiyu Qiu. 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 Yiyu Qiu. The network helps show where Yiyu Qiu may publish in the future.
Co-authorship network of co-authors of Yiyu Qiu
This figure shows the co-authorship network connecting the top 25 collaborators of Yiyu Qiu. A scholar is included among the top collaborators of Yiyu Qiu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yiyu Qiu. Yiyu Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | Decoupled Knowledge Distillationbreakdown → | 465 |
| 3 | A multi-method approach to assessing health information systems end users' training needs. | 4 |
| 4 | Computer-based nursing documentation in nursing homes: A feasibility study. | 10 |
| 5 | Study of Characteristics of Effective Online Help System to Facilitate Nurses Interacting with Nursing Information System | 0 |
| 6 | A Preliminary Study of Quality Framework for Online Help System to Facilitate Aged Care Nurses Using Information Systems | 1 |
About Yiyu Qiu
Yiyu Qiu is a scholar working on Issues, ethics and legal aspects, Health Information Management and Human-Computer Interaction, having authored 6 papers that have together received 489 indexed citations. Recurring topics across this work include Electronic Health Records Systems (2 papers), Technology Adoption and User Behaviour (1 paper) and Information Retrieval and Data Mining (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (259 citations), Artificial Intelligence (263 citations) and Media Technology (33 citations). Yiyu Qiu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Jiajun Liang, Borui Zhao, Renjie Song, Quan Cui, Ping Yu, Patrick A Crookes, Zhiyuan Su, Jinpeng Li and Peter Hyland. Their work appears in journals such as SHILAP Revista de lepidopterología, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and PubMed.
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.