Wei Song
Impact in
- Biomedical Engineering top 5%
- Photoacoustic and Ultrasonic Imaging
- Optical Coherence Tomography Applications
Papers in
-
- Photoacoustic and Ultrasonic Imaging 41
- Optical Coherence Tomography Applications 4
- Co-authors
- Hao F. Zhang (10 shared papers)Shuliang Jiao (7 shared papers)Xiaocong Yuan (29 shared papers)Tan Liu (4 shared papers)Changjun Min (17 shared papers)Lizhen Liu (5 shared papers)Tara Williams Fortune (1 shared paper)Siwei Zhu (10 shared papers)
- Journals
- Applied Physics Letters (7 papers)ACS Sensors (4 papers)Photoacoustics (4 papers)Scientific Reports (3 papers)Journal of Biophotonics (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Song
105 papers receiving 1.5k citations
Wei Song's Hit Papers
Peers
Comparison fields: 5 of 118
- Biomedical Engineering 608
- Computational Mathematics 4
- Linguistics and Language 28
- Radiology, Nuclear Medicine and Imaging 105
- Health Informatics 11
Countries citing papers authored by Wei Song
This map shows the geographic impact of Wei Song'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 Wei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Song more than expected).
Fields of papers citing papers by Wei Song
This network shows the impact of papers produced by Wei Song. 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 Wei Song. The network helps show where Wei Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Song, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 116 | |
| 2 | 2020 | 87 | |
| 3 | 2012 | 81 | |
| 4 | 2018 | 81 | |
| 5 | Oncolytic virus VG161 in refractory hepatocellular carcinoma Hit paper breakdown → | 2025 | 59 |
| 6 | 2014 | 57 | |
| 7 | 2021 | 49 | |
| 8 | 2020 | 42 | |
| 9 | 2016 | 41 | |
| 10 | 2009 | 40 | |
| 11 | 2016 | 40 | |
| 12 | 2020 | 38 | |
| 13 | 2020 | 33 | |
| 14 | 2021 | 29 | |
| 15 | 2022 | 29 | |
| 16 | 2021 | 28 | |
| 17 | 2013 | 27 | |
| 18 | 2018 | 27 | |
| 19 | 2020 | 26 | |
| 20 | 2012 | 25 |
About Wei Song
Wei Song is a scholar working on Biomedical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Surgery and Orthopedics and Sports Medicine, having authored 115 papers that have together received 1.6k indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (41 papers), Acute Myocardial Infarction Research (5 papers), Gut microbiota and health (5 papers), Optical Coherence Tomography Applications (4 papers), Advanced Fiber Optic Sensors (4 papers), Virus-based gene therapy research (4 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Biomedical Engineering (608 citations), Computational Mathematics (4 citations), Linguistics and Language (28 citations), Radiology, Nuclear Medicine and Imaging (105 citations) and Health Informatics (11 citations). Wei Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hao F. Zhang, Shuliang Jiao, Xiaocong Yuan, Tan Liu, Changjun Min, Lizhen Liu, Tara Williams Fortune, Siwei Zhu, Fan Yang and Wei Zheng. Their work appears in journals such as Applied Physics Letters, ACS Sensors, Photoacoustics, Scientific Reports and Journal of Biophotonics.
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.