Xiaohong Liu
- Molecular Biology
- Artificial Intelligence top 10%
- Management Information Systems top 10%
- Radiology, Nuclear Medicine and Imaging
- Strategy and Management
- Co-authors
- David GrantAlan Campbell McKinnonYuanhua FengGuangyu WangYuanxu GaoYufen ZhaoHiroshi NakanishiYanmei Li
- Topics
- AI in cancer detection (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Privacy-Preserving Technologies in Data (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaohong Liu
37 papers receiving 449 citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 106
- Artificial Intelligence 100
- Management Information Systems 55
- Radiology, Nuclear Medicine and Imaging 54
- Strategy and Management 48
Countries citing papers authored by Xiaohong Liu
This map shows the geographic impact of Xiaohong Liu'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 Xiaohong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohong Liu more than expected).
Fields of papers citing papers by Xiaohong Liu
This network shows the impact of papers produced by Xiaohong Liu. 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 Xiaohong Liu. The network helps show where Xiaohong Liu may publish in the future.
Co-authorship network of co-authors of Xiaohong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Liu. A scholar is included among the top collaborators of Xiaohong Liu 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 Xiaohong Liu. Xiaohong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 40 | |
| 10 | 0 | |
| 11 | 25 | |
| 12 | 2 | |
| 13 | 64 | |
| 14 | 11 | |
| 15 | 11 | |
| 16 | 16 | |
| 17 | 1 | |
| 18 | 73 | |
| 19 | 1 | |
| 20 | A Kind of Information Processing Method in Linguistic-Value Appraisement of Enterprise Human Resource | 2 |
About Xiaohong Liu
Xiaohong Liu is a scholar working on Health Informatics, Geriatrics and Gerontology and Artificial Intelligence, having authored 42 papers that have together received 465 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Health Informatics (35 citations), Management Information Systems (55 citations) and Health Information Management (20 citations). Xiaohong Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include David Grant, Alan Campbell McKinnon, Yuanhua Feng, Guangyu Wang, Yuanxu Gao, Yufen Zhao, Hiroshi Nakanishi, Yanmei Li, Yong‐Xiang Chen and Jintang Du. Their work appears in journals such as Nature Medicine, Pharmacological Research and Frontiers in Physiology.
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.