Bing Xue
- Cardiology and Cardiovascular Medicine
- Surgery
- Health Informatics top 2%
- Epidemiology
- Artificial Intelligence
- Co-authors
- Thomas KannampallilChenyang LuJoanna AbrahamDingwen LiChristopher R. KingMichael S. AvidanTroy S. WildesYan‐Qiong Ouyang
- Topics
- Maternal Mental Health During Pregnancy and Postpartum (3 papers)Maternal and Perinatal Health Interventions (2 papers)Dementia and Cognitive Impairment Research (2 papers)
- Cited by
- Health InformaticsCardiology and Cardiovascular MedicineCritical Care and Intensive Care Medicine
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Bing Xue
15 papers receiving 283 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 91
- Surgery 71
- Health Informatics 55
- Epidemiology 34
- Artificial Intelligence 33
Countries citing papers authored by Bing Xue
This map shows the geographic impact of Bing Xue'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 Bing Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Xue more than expected).
Fields of papers citing papers by Bing Xue
This network shows the impact of papers produced by Bing Xue. 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 Bing Xue. The network helps show where Bing Xue may publish in the future.
Co-authorship network of co-authors of Bing Xue
This figure shows the co-authorship network connecting the top 25 collaborators of Bing Xue. A scholar is included among the top collaborators of Bing Xue 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 Bing Xue. Bing Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 16 | |
| 10 | 19 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complicationsbreakdown → | 190 |
| 16 | 16 |
About Bing Xue
Bing Xue is a scholar working on Health Informatics, Psychiatry and Mental health and Obstetrics and Gynecology, having authored 16 papers that have together received 291 indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (3 papers), Maternal and Perinatal Health Interventions (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Health Informatics (55 citations), Cardiology and Cardiovascular Medicine (91 citations) and Critical Care and Intensive Care Medicine (17 citations). Bing Xue has collaborated with scholars based in China, United States and France. Frequent co-authors include Thomas Kannampallil, Chenyang Lu, Joanna Abraham, Dingwen Li, Christopher R. King, Michael S. Avidan, Troy S. Wildes, Yan‐Qiong Ouyang, Sharon R. Redding and Xianwu Luo. Their work appears in journals such as Scientific Reports, BMJ Open and JAMA Network 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.