Dai‐Yin Lu
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Co-authors
- Theodore P. AbrahamM. Roselle AbrahamBereketeab HaileselassieIoannis VentoulisIraklis PoziosHongyun LiuShih‐Hsien SungChen‐Huan Chen
- Topics
- Cardiovascular Function and Risk Factors (11 papers)Cardiomyopathy and Myosin Studies (10 papers)Cardiovascular Effects of Exercise (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineHealth InformaticsCritical Care and Intensive Care Medicine
- Partner nations
- TaiwanUnited StatesGreece
In The Last Decade
Dai‐Yin Lu
18 papers receiving 335 citations
Peers
Comparison fields: 5 of 45
- Cardiology and Cardiovascular Medicine 276
- Epidemiology 54
- Pulmonary and Respiratory Medicine 43
- Radiology, Nuclear Medicine and Imaging 37
- Molecular Biology 35
Countries citing papers authored by Dai‐Yin Lu
This map shows the geographic impact of Dai‐Yin Lu'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 Dai‐Yin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai‐Yin Lu more than expected).
Fields of papers citing papers by Dai‐Yin Lu
This network shows the impact of papers produced by Dai‐Yin Lu. 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 Dai‐Yin Lu. The network helps show where Dai‐Yin Lu may publish in the future.
Co-authorship network of co-authors of Dai‐Yin Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Dai‐Yin Lu. A scholar is included among the top collaborators of Dai‐Yin Lu 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 Dai‐Yin Lu. Dai‐Yin Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 64 | |
| 11 | 47 | |
| 12 | 70 | |
| 13 | Abstract 15967: Identifying Ventricular Arrhythmia Cases and Their Predictors by Applying Machine Learning Methods to Electronic Health Records (EHR) of Hypertrophic Cardiomyopathy (HCM) Patients | 1 |
| 14 | 22 | |
| 15 | 44 | |
| 16 | 37 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 15 |
About Dai‐Yin Lu
Dai‐Yin Lu is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 339 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (11 papers), Cardiomyopathy and Myosin Studies (10 papers) and Cardiovascular Effects of Exercise (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (276 citations), Health Informatics (4 citations) and Critical Care and Intensive Care Medicine (12 citations). Dai‐Yin Lu has collaborated with scholars based in Taiwan, United States and Greece. Frequent co-authors include Theodore P. Abraham, M. Roselle Abraham, Bereketeab Haileselassie, Ioannis Ventoulis, Iraklis Pozios, Hongyun Liu, Shih‐Hsien Sung, Chen‐Huan Chen, Jeffrey E. Olgin and Marco Canepa. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.
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.