Yangyang Dai
Impact in
- Obstetrics and Gynecology top 10%
- Gynecological conditions and treatments
- Uterine Myomas and Treatments
- Reproductive Medicine top 10%
- Endometriosis Research and Treatment
Papers in
-
- Reproductive System and Pregnancy 4
- Surgery 4
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Songying Zhang (7 shared papers)Liaobing Xin (5 shared papers)Lie Ma (4 shared papers)Xin Lu (1 shared paper)Xiaomei Tong (2 shared papers)Jianmin Chen (1 shared paper)Dong Huang (1 shared paper)Wei Cheng (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)Acta Biomaterialia (2 papers)Science China Technological Sciences (1 paper)Frontiers in Aging Neuroscience (1 paper)RSC Advances (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yangyang Dai
17 papers receiving 354 citations
Peers
Comparison fields: 5 of 81
- Obstetrics and Gynecology 70
- Reproductive Medicine 59
- Rehabilitation 36
- Immunology 77
- Computational Mathematics 2
Countries citing papers authored by Yangyang Dai
This map shows the geographic impact of Yangyang Dai'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 Yangyang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangyang Dai more than expected).
Fields of papers citing papers by Yangyang Dai
This network shows the impact of papers produced by Yangyang Dai. 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 Yangyang Dai. The network helps show where Yangyang Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yangyang Dai, 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 | 2021 | 106 | |
| 2 | 2015 | 71 | |
| 3 | 2023 | 43 | |
| 4 | 2024 | 25 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 16 | |
| 7 | 2021 | 13 | |
| 8 | 2024 | 11 | |
| 9 | 2014 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | Effect of Task-Oriented Biomechanical Perception-Balance Training on Motor Gait in Stroke Patients With Hemiplegia. | 2024 | 0 |
About Yangyang Dai
Yangyang Dai is a scholar working on Immunology, Surgery, Cognitive Neuroscience, Obstetrics and Gynecology and Reproductive Medicine, having authored 20 papers that have together received 363 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (4 papers), Reproductive System and Pregnancy (4 papers), EEG and Brain-Computer Interfaces (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Gynecological conditions and treatments (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Pregnancy and preeclampsia studies (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Obstetrics and Gynecology (70 citations), Reproductive Medicine (59 citations), Rehabilitation (36 citations), Immunology (77 citations) and Computational Mathematics (2 citations). Yangyang Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Songying Zhang, Liaobing Xin, Lie Ma, Xin Lu, Xiaomei Tong, Jianmin Chen, Dong Huang, Wei Cheng, Hongtao Hu and Qian Pang. Their work appears in journals such as Journal of Clinical Investigation, Acta Biomaterialia, Science China Technological Sciences, Frontiers in Aging Neuroscience and RSC Advances.
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.