Yunfei Wang
- Endocrine and Autonomic Systems top 10%
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- Neonatal and fetal brain pathology 7
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- Cardiac Arrhythmias and Treatments 6
- Heart Rate Variability and Autonomic Control 4
- Emergency Medicine top 10%
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- Cardiac Imaging and Diagnostics 4
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- Smart Agriculture and AI 4
- Plant Surface Properties and Treatments 4
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- Non-Invasive Vital Sign Monitoring 4
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- Congenital Heart Disease Studies 3
- Co-authors
- Marina MetzlerRathinaswamy B. GovindanAn N. MassaroGilbert VézinaTareq Al‐ShargabiNickie AndescavageAdré J. du PlessisTaeun Chang
- Cited by
- Endocrine and Autonomic SystemsPediatrics, Perinatology and Child HealthCardiology and Cardiovascular Medicine
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (1 paper)Journal of the American College of Cardiology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yunfei Wang
55 papers receiving 581 citations
Peers
Comparison fields: 5 of 102
- Endocrine and Autonomic Systems 62
- Pediatrics, Perinatology and Child Health 174
- Cardiology and Cardiovascular Medicine 195
- Emergency Medicine 51
- Pulmonary and Respiratory Medicine 153
Countries citing papers authored by Yunfei Wang
This map shows the geographic impact of Yunfei Wang'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 Yunfei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunfei Wang more than expected).
Fields of papers citing papers by Yunfei Wang
This network shows the impact of papers produced by Yunfei Wang. 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 Yunfei Wang. The network helps show where Yunfei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunfei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 17 | |
| 16 | 2019 | 11 | |
| 17 | 2018 | 33 | |
| 18 | 2018 | 1 | |
| 19 | 2018 | 38 | |
| 20 | 2017 | 19 |
About Yunfei Wang
Yunfei Wang is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Endocrine and Autonomic Systems, having authored 67 papers that have together received 590 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (7 papers), Cardiac Arrhythmias and Treatments (6 papers), Cardiac Imaging and Diagnostics (4 papers), Smart Agriculture and AI (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Plant Surface Properties and Treatments (4 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (62 citations), Pediatrics, Perinatology and Child Health (174 citations) and Cardiology and Cardiovascular Medicine (195 citations). Yunfei Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Marina Metzler, Rathinaswamy B. Govindan, An N. Massaro, Gilbert Vézina, Tareq Al‐Shargabi, Nickie Andescavage, Adré J. du Plessis, Taeun Chang, Qi Hua and Jing Li. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.