Xiaolin Diao
Impact in
- Health Informatics top 10%
-
- Artificial Intelligence in Healthcare
Papers in
-
- Cardiac, Anesthesia and Surgical Outcomes 6
- Surgery 11
- Cardiac and Coronary Surgery Techniques 6
- Surgical site infection prevention 3
- Co-authors
- Fei Zhang (1 shared paper)Bo Sun (2 shared papers)Wei Zhao (1 shared paper)Yuxin Wang (3 shared papers)Jing Yuan (3 shared papers)Wei Zhao (4 shared papers)Wei Zhao (9 shared papers)Yuefu Wang (6 shared papers)
- Journals
- BMC Medical Informatics and Decision Making (3 papers)The Annals of Thoracic Surgery (2 papers)International Journal of Medical Informatics (1 paper)Transfusion (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaolin Diao
25 papers receiving 230 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 16
- Health Information Management 38
- Toxicology 18
- Critical Care and Intensive Care Medicine 23
- Nephrology 30
Countries citing papers authored by Xiaolin Diao
This map shows the geographic impact of Xiaolin Diao'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 Xiaolin Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Diao more than expected).
Fields of papers citing papers by Xiaolin Diao
This network shows the impact of papers produced by Xiaolin Diao. 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 Xiaolin Diao. The network helps show where Xiaolin Diao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Diao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 41 | |
| 2 | 2021 | 30 | |
| 3 | 2021 | 27 | |
| 4 | 2020 | 16 | |
| 5 | 2021 | 14 | |
| 6 | 2018 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 9 | |
| 10 | Establishment and Validation of a Nomogram to Predict Hospital-Acquired Infection in Elderly Patients After Cardiac Surgery | 2022 | 8 |
| 11 | 2022 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2016 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2023 | 2 |
About Xiaolin Diao
Xiaolin Diao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Artificial Intelligence and Emergency Medicine, having authored 32 papers that have together received 232 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (6 papers), Cardiac and Coronary Surgery Techniques (6 papers), Cardiac Arrest and Resuscitation (5 papers), Blood transfusion and management (4 papers), Biomedical Text Mining and Ontologies (4 papers), Machine Learning in Healthcare (4 papers), Surgical site infection prevention (3 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (38 citations), Toxicology (18 citations), Critical Care and Intensive Care Medicine (23 citations) and Nephrology (30 citations). Xiaolin Diao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fei Zhang, Bo Sun, Wei Zhao, Yuxin Wang, Jing Yuan, Wei Zhao, Wei Zhao, Yuefu Wang, Shuai Zhao and Meng Cui. Their work appears in journals such as BMC Medical Informatics and Decision Making, The Annals of Thoracic Surgery, International Journal of Medical Informatics, Transfusion and BMJ Open.
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.